{"title":"Paolo Favaro","description":null,"products":[{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eNot.- Known.- Yet.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097130320199,"sku":"9783032368393","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover.webp?v=1789884024"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-1","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eNot.- Known.- Yet.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097141756231,"sku":"9783032368461","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro.webp?v=1789884084"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-2","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097143066951,"sku":"9783032369697","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-2026.webp?v=1789884145"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-3","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; line-height: 107%; font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003eLinStereo: Linear-Complexity Global Attention for Multi-Scale Iterative Stereo Matching.- EMOTE: Expressive Motion and Shape Disentanglement for Human Animation.- SCoT: Similarity-guided Conflict-aware Task Consolidation for\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003eContinual VQA.- FixAnything: 3D-Consistent Rendering Refinement via Video Generative Priors.- Solving Diffusion Inverse Problems with Restart Posterior Sampling.- JointHOI: Jointly Generating Contact Maps Enhances Hand Object Interaction Generation.- Thermo-JEPA: Learning a Geometry-Grounded Thermal World Model via Cross-Modal Privileged Masking.- Enhancing Embodied Reasoning and Grounding by Novel View Synthesis.- Robust 3DGS-based SLAM via Adaptive Kernel Smoothing.- AVQ-Attention: Adaptive Vector-Quantized Attention.- Aligning Human Sense: Calibrated Distributional Reward Learning for Video Generation.- ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP.- LaMP: Learning Vision-Language-Action Policies with 3D Scene Flow as Latent Motion Prior.- VOID: Video Object and Interaction Deletion.- Natural Language Camera Movement Understanding.- MuCHeR: Multi-Person Camera-Centric Human Detection, Mesh Recovery and Tracking.- SA-ResGS: Self-Augmented Residual 3D Gaussian Splatting for Next Best View Selection.- Policy-Based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards.- Unified Prediction and Planning via Conflict-Aware Disjoint Parameter Training.- Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time Performance.- CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection.- GridVQA-X: A Diagnostic Framework for Evaluating Multimodal Explainability Methods.- WildProp: Visual Estimation of Wildlife Body Proportions at Scale.- DriveWeaver: Point-Conditioned Video Inpainting for Controllable Vehicle Insertion in Autonomous Driving Simulation.- OpenGround: Planning-based Online Perception for Open-World 3D Visual Grounding.- WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing.- TDSR-VLA: Transition-aware Denoising Sequence Representations for Vision-Language-Action.- RelAfford6D: Relational 6D Affordance Graphs for Constraint-Driven Robotic Manipulation.- From Script to Shot: A Benchmark for Grounding Screenplays in Movies.- GeoNVS: Geometry Grounded Video Diffusion for Novel View Synthesis.- TETO: Tracking Events with Teacher Observation for Motion Estimation and Frame Interpolation.- Weight Feedback Computes the Exact Jacobian Transpose in Modern Deep Networks.- CogniCred: A Dataset and Benchmark for Cognitive Credential Forgery Detection.- JacobianAvatar: Temporally Consistent Semi-rigid Avatar Reconstruction from a Monocular Video.- LEGO: Leveled Language Gaussian Splatting.- MobileOcc: A Human-Aware Semantic Occupancy Dataset for Mobile Robots.\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Aptos; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e \u003c\/span\u003e\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097143755079,"sku":"9783032370136","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-springer.webp?v=1789884206"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-4","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; line-height: 107%; font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003eTreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects.- What CLIP Knows but Cannot Say: Recovering Negation from Frozen Intermediate Features.- Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment.- Be Tangential to Manifold: Discovering Riemannian Metric for Diffusion Models.- GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding.- HippoCamp: Benchmarking Contextual Agents on Personal Computers.- TMI: Text-to-Image Meets Image-to-Image for Complementary Data Synthesis to Boost Long-Tailed Instance Segmentation.- DA-F2F: Domain-Adaptive Object Detection with Feature-to-Feature Modulation and Alignment.- Cast and Attached Shadow Detection via Iterative Light and Geometry Reasoning.- RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios.- LIIFusion: Coarse-to-fine Framework for Generative MEF via Implicit Neural Representation.- DLGStream: Dynamic Language-embedded Guassian Splatting for Open-vocabulary Enabled Free-viewpoint Video Streaming.- A scalar per patch from pre-trained ViTs enables fast moving navigation in the real world.- PACO: Stabilizing Vision Embeddings along Local Paths for Robust Vision-Language Models.- DocLayout-VL: A Foundational Model for Hierarchical, Open-set, and Promptable Document Layout Segmentation.- MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources.- ColorFM: An Optimization-to-Learning Framework for Color Transfer via Flow Matching.- RePer-360: Releasing Perspective Priors for 360° Depth Estimation via Self-Modulation.- Steerable Vision Transformers.- Single-Query Person-Centric Bimanual Hand-Object Interaction Detection.- SkyLume: A Large-Scale Multi-Illumination Aerial Benchmark for Urban Scene Reconstruction and Beyond.- Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention.- CMDS-AD: Cross-Modal Dual-Stream Decoupling for Few-Shot Anomaly Detection.- DreamEdit3D: Personalization of Multi-View Diffusion Models for 3D Editing.- Composing Driving Worlds through Disentangled Control for Adversarial Scenario Generation.- ESC: Emotional Self-Correction for Reliable Vision-Language Models.- VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors.- CoLT: Teaching Multi-Modal Models to Think with Chain of Latent Thoughts.- PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation.- CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum Orthogonalization.- BiCE-HG: A Bi-Conditional Egocentric Hand Gesture Dataset for Intelligent Reality Systems.- Ceptor: Vision-Language Model-Infused Diverse Guidance for Detecting Anything.- PointSplat: Compact Gaussian Splatting via Human-Centric Prediction.- SFKD: Spatial–Frequency Joint-Aware Heterogeneous Knowledge Distillation via Multi-Level Wavelet Spectral Interaction.- Extending a Large View Synthesis Model for Multi-view Panoptic Segmentation.- PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving.\u003c\/span\u003e\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097144377671,"sku":"9783032370167","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-2026.webp?v=1789884269"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-5","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097146343751,"sku":"9783032370204","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer.webp?v=1789884330"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-6","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; line-height: 107%; font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003eD-VLAM: Differential Vision and Language Mixing for Rehearsal Free Continual Learning.- Mixture of Specialized Vision Experts: Unlocking Complementary Visual Insights for Faithful MLLM Reasoning.- Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models.- PanoRec: Spatially-Structured Sequence Modeling for Multi-Granularity Panoramic Retrieval.- Residual-Guided Expert Specialization for Incomplete Multimodal Learning.- Flash-Refine: Frustum-Guided Local Incremental Learning for Efficient 3D Gaussian Splatting Completion.- OmniFall: From Staged Through Synthetic to Wild, A Unified Multi-Domain Dataset for Robust Fall Detection.- LiFlow: Flow Matching for 3D LiDAR Scene Completion.- Are Video Reasoning Models Ready to Go Outside?.- UC-VLM: Consistency-Driven Learning for AI-Generated Image Detection with Vision-Language Large Models.- Track4World: Feedforward World-centric Dense 3D Tracking of All Pixels.- ARC-Loc: Leveraging Azimuthal Ray Convergence as a Geometric Cue for Direct Cross-View Localization.- DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing.- EvoVLA: Self-Evolving Vision-Language-Action Model.- DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery.- Fair and Faithful: A Diffusion-Enhanced Dataset and Hybrid State-Space Mamba for Face Super-Resolution.- ReCamDriving: LiDAR-Free Camera-Controlled Video Synthesis for Novel Trajectories.- PolyLayout: Multi-room Manhattan Layout Estimation.- Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation.- Histogram-constrained Image Generation.- EraseLoRA: MLLM-Driven Foreground Exclusion and Background Subtype Aggregation for Dataset-Free Object Removal.- Uncertainty-aware tree height change regression.- DriveFine: Refining-Augmented Masked Diffusion VLA for Accurate and Robust Driving.- PhysEdit: Physically Consistent Image Editing via Causal Enforcement.- Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions.- Why Can Accurate Models Be Learned from Inaccurate Annotations?.- JanusMesh: Fast and Zero-Shot 3D Visual Illusion Generation via Cross-Space Denoising.- Dual Distribution Estimation for Zero-shot Noisy Test-Time Adaptation with VLMs.- OCTOPUS: Multi‑Agentic Universal Compositional Visual Retrieval.- Diversity-Aware View Partitioning for Scalable VGGT.- WildCity: A Real-World Dataset for City-Scale Rendering and Beyond.- Lifting Ego World Models for Planning and Control.- G2FM: A Geodesic Flow Matching Framework with Geometric Prior for Category-Level 9-DoF Pose Estimation.- Personalizing MLLMs via Reinforced Multimodal Reference Game.- Rethinking IRSTD: Single-Point Supervision Guided Encoder-only Framework is Enough for Infrared Small Target Detection.- MAC-Splat: Multi-Attribute Consistency for High-Fidelity Sparse-View Reconstruction.- Learning from Primitive: Probing Visual Reasoning of LVLMs via Counting.\u003c\/span\u003e\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097146802503,"sku":"9783032370235","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-springer-2026.webp?v=1789884391"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-7","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097147261255,"sku":"9783032370266","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026.webp?v=1789884452"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-8","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eSIGNET: Motion-Level Knowledge Transfer for Cross-Language Sign Language Translation.- From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting.- Multi-View Foundation Models.- MambaRaw: Selective State Space Modeling for Efficient 4K RAW Image Reconstruction.- Unified Multi-Layer Subspace Modeling for Cross-Domain OOD Detection.- Exo2EgoPolicy: Pose-Aligned Cross-View Policy Learning.- PanoLess: Environment Reconstruction from Partial Reflective Views.- Score-Based Matching with Target Guidance for Cryo-EM Denoising.- Score-Based Matching with Target Guidance for Cryo-EM Denoising.- PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding.- Large-Scale Light Field Synthesis from Videos Enables Geometrically Consistent Bokeh Editing.- TAIHRI: Task-Aware 3D Human Keypoints Localization for Close-Range Human-Robot Interaction.- TEX-Drive: Temporal Perception Meets Experience-Guided Mixture-of-Experts for End-to-End Autonomous Driving.- MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.- ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning.- CS-TTA: Preserving Concept Sensitivity in Test-Time Adaptation.- FED-Bench: A Cross-Granular Benchmark for Disentangled Evaluation of Facial Expression Editing.- Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels.- Matryoshka Gaussian Splatting.- BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing.- AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World.- Finding Highlight Images In Your Albums:From Benchmark To MLLM.- Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion.- MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos.- Dual-Anchoring: Addressing State Drift in Vision-Language Navigation.- DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture.- Mitigating Pose–Scale Discrepancy Bias and Reforming Multi-Support Reasoning for Few-Shot Semantic Segmentation.- Beyond Aesthetics: Quantifying Information Loss in Turbid Scenes.- Physics-Guided Deep Learning for Linear Mueller Matrix Acquisition.- Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding.- What You Ask is What You Ground: Bridging Question Intent to Temporal Evidence for Grounded VideoQA.- Incentive Noise and Structural Prior Infusion for Multi-Modal Object Re-Identification.- Mitigating Radar-Inertial Calibration Ambiguities via SO(3) Manifold Steering.- Adversarial Attack and Disturbance Detection by Hadamard-Coded Output Representations for Object Detection and Semantic Segmentation.- AlignMorph: Tuning-Free Diffusion Image Morphing via Explicit Semantic Transport.- RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control.- UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors.- SA-V2V: Training-Free Subject-Aware Video-to-Video Personalization.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097148178759,"sku":"9783032370297","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v2.webp?v=1789884513"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-9","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097148440903,"sku":"9783032370327","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v3.webp?v=1789884574"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-10","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097149587783,"sku":"9783032370358","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v4.webp?v=1789884635"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-11","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eSIGNET: Motion-Level Knowledge Transfer for Cross-Language Sign Language Translation.- From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting.- Multi-View Foundation Models.- MambaRaw: Selective State Space Modeling for Efficient 4K RAW Image Reconstruction.- Unified Multi-Layer Subspace Modeling for Cross-Domain OOD Detection.- Exo2EgoPolicy: Pose-Aligned Cross-View Policy Learning.- PanoLess: Environment Reconstruction from Partial Reflective Views.- Score-Based Matching with Target Guidance for Cryo-EM Denoising.- Score-Based Matching with Target Guidance for Cryo-EM Denoising.- PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding.- Large-Scale Light Field Synthesis from Videos Enables Geometrically Consistent Bokeh Editing.- TAIHRI: Task-Aware 3D Human Keypoints Localization for Close-Range Human-Robot Interaction.- TEX-Drive: Temporal Perception Meets Experience-Guided Mixture-of-Experts for End-to-End Autonomous Driving.- MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.- ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning.- CS-TTA: Preserving Concept Sensitivity in Test-Time Adaptation.- FED-Bench: A Cross-Granular Benchmark for Disentangled Evaluation of Facial Expression Editing.- Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels.- Matryoshka Gaussian Splatting.- BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing.- AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World.- Finding Highlight Images In Your Albums:From Benchmark To MLLM.- Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion.- MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos.- Dual-Anchoring: Addressing State Drift in Vision-Language Navigation.- DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture.- Mitigating Pose–Scale Discrepancy Bias and Reforming Multi-Support Reasoning for Few-Shot Semantic Segmentation.- Beyond Aesthetics: Quantifying Information Loss in Turbid Scenes.- Physics-Guided Deep Learning for Linear Mueller Matrix Acquisition.- Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding.- What You Ask is What You Ground: Bridging Question Intent to Temporal Evidence for Grounded VideoQA.- Incentive Noise and Structural Prior Infusion for Multi-Modal Object Re-Identification.- Mitigating Radar-Inertial Calibration Ambiguities via SO(3) Manifold Steering.- Adversarial Attack and Disturbance Detection by Hadamard-Coded Output Representations for Object Detection and Semantic Segmentation.- AlignMorph: Tuning-Free Diffusion Image Morphing via Explicit Semantic Transport.- RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control.- UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors.- SA-V2V: Training-Free Subject-Aware Video-to-Video Personalization.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097150734663,"sku":"9783032370389","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v5.webp?v=1789884696"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-12","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eSIGNET: Motion-Level Knowledge Transfer for Cross-Language Sign Language Translation.- From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting.- Multi-View Foundation Models.- MambaRaw: Selective State Space Modeling for Efficient 4K RAW Image Reconstruction.- Unified Multi-Layer Subspace Modeling for Cross-Domain OOD Detection.- Exo2EgoPolicy: Pose-Aligned Cross-View Policy Learning.- PanoLess: Environment Reconstruction from Partial Reflective Views.- Score-Based Matching with Target Guidance for Cryo-EM Denoising.- Score-Based Matching with Target Guidance for Cryo-EM Denoising.- PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding.- Large-Scale Light Field Synthesis from Videos Enables Geometrically Consistent Bokeh Editing.- TAIHRI: Task-Aware 3D Human Keypoints Localization for Close-Range Human-Robot Interaction.- TEX-Drive: Temporal Perception Meets Experience-Guided Mixture-of-Experts for End-to-End Autonomous Driving.- MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.- ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning.- CS-TTA: Preserving Concept Sensitivity in Test-Time Adaptation.- FED-Bench: A Cross-Granular Benchmark for Disentangled Evaluation of Facial Expression Editing.- Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels.- Matryoshka Gaussian Splatting.- BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing.- AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World.- Finding Highlight Images In Your Albums:From Benchmark To MLLM.- Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion.- MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos.- Dual-Anchoring: Addressing State Drift in Vision-Language Navigation.- DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture.- Mitigating Pose–Scale Discrepancy Bias and Reforming Multi-Support Reasoning for Few-Shot Semantic Segmentation.- Beyond Aesthetics: Quantifying Information Loss in Turbid Scenes.- Physics-Guided Deep Learning for Linear Mueller Matrix Acquisition.- Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding.- What You Ask is What You Ground: Bridging Question Intent to Temporal Evidence for Grounded VideoQA.- Incentive Noise and Structural Prior Infusion for Multi-Modal Object Re-Identification.- Mitigating Radar-Inertial Calibration Ambiguities via SO(3) Manifold Steering.- Adversarial Attack and Disturbance Detection by Hadamard-Coded Output Representations for Object Detection and Semantic Segmentation.- AlignMorph: Tuning-Free Diffusion Image Morphing via Explicit Semantic Transport.- RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control.- UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors.- SA-V2V: Training-Free Subject-Aware Video-to-Video Personalization.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097151226183,"sku":"9783032370419","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v6.webp?v=1789884757"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-13","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097152143687,"sku":"9783032370440","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v7.webp?v=1789884819"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-14","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097153093959,"sku":"9783032370921","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v8.webp?v=1789884879"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-15","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eC2E: Boosting Ego-Only 3D Object Detection via Multi-Teacher Contrastive Knowledge Distillation.- Break Visual-Linguistic Asymmetry:  Unleashing VLM's Cross-Modal Potential for General Face Forgery Detection.- AutoSpeed: Annotation-Free Stage-Adaptive Motion Speed Learning for Robot Manipulation.- From Blobs to Spokes: High-Fidelity Surface Reconstruction via Oriented Gaussians.- DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding.- OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation.- UECP: Uncertainty-Enhanced Collaborative Perception.- Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation.- When Sinks Help or Hurt: Unified Framework for Attention Sink in MLLMs.- TAQ: Static-Deployable Temporal-Aware Quantization for Real-World Video Super-Resolution.- EGVLR: Evidence-Grounded Vision–Language Reinforcement for Anomaly Reasoning.- SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence.- Bayesian Uncertainty Attribution-Guided Fine-Tuning for Open-Set Action Recognition.- Resolution-Agnostic Neural Operators for Multi-Rate Sparse-View CT.- BeyondSight: Object Permanence for End-to-End Autonomous Driving.- MCPNet:Masked Coordinate Pooling-based Attention Network for Medical Landmark Detection.- Consistent Feature Transport for Image Relighting.- Structured SIR: Efficient and Expressive Importance-Weighted Inference for High-Dimensional Image Registration.- LivingWorld: Interactive 4D World Generation with Environmental Dynamics.- Robust onion: Peeling Open Vocab Object Detectors Under Noise.- Co-evolving Representations in Joint Image-Feature Diffusion.- PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos.- Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation.- Prosthesis-Aware 3D Human Pose Estimation: A Dataset and Benchmark for RSP Users.- AHOY! Animatable Humans under Occlusion from YouTube Videos with Gaussian Splatting and Video Diffusion Priors.- Concept-as-Tree: A Controllable Synthetic Data Framework Makes Stronger Personalized VLMs.- Vulnerability of Privacy-Preserving Visual Localization against Diffusion-based Attacks.- LENS: Adaptive Spatio-Temporal Zooming for Keyframe Sampling in Long-Form Videos.- NanoGS: Training-Free and Lightweight Gaussian Splat Simplification.- Keeping the Evidence Chain: Semantic Evidence Allocation for Training-Free Token Pruning in Video Temporal Grounding.- BeTTER: Diagnose the Illusion of Embodied Reasoning in Vision-Language-Action Models.- Continuous Heart Rate Variability Estimation from Egocentric Systems for Skill Assessment.- Video-Oasis: Rethinking Evaluation of Video Understanding.- TPCNet: A Low-Light Image Enhancement Network Inspired by Triple Physical Constraints.- Swap the Right Identity: Spatio-Temporal Preference Optimization for Identity Swapping.- EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics.- CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097154240839,"sku":"9783032370952","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v9.webp?v=1789884940"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-16","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097156141383,"sku":"9783032370983","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v10.webp?v=1789885001"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-17","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097160761671,"sku":"9783032371324","price":85.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v11.webp?v=1789885063"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-18","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097162596679,"sku":"9783032371676","price":85.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v12.webp?v=1789885125"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-19","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097164726599,"sku":"9783032371744","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v13.webp?v=1789885188"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-20","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; line-height: 107%; font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003eMedCAGD: Context-Aware Gated Decoder for Robust Medical Image Segmentation.- ECoSim: Data Efficient Fine-Tuning for Controllable Traffic Simulation.- OccDirector: Language-Guided Behavior and Interaction Generation in 4D Occupancy Space.- Leveraging Dark Knowledge for Intrinsic Multimodal Out-of-Distribution Detection.- Direct Autoregressive Diffusion Distillation via Error-aware Causal Pretraining.- Moving Beyond More Views: Redundancy-Aware Ego–Exo Fusion for Proficiency Estimation.- Efficient Document Tampering Localization with Multi-Level Discrepancy Features and Unified DCT–Quantization Embedding.- Data-Free Client Contribution Estimation via Logit Maximization for Federated Learning.- StructPolicy: Structure-Guided Imitation Learning Robust to Visual Domain Shifts.- Task-Agnostic Incremental Vision-Language Object Detection via Prompt Augmentation and Distribution-Aware Fusion.- Test-time Counterfactual Calibration for Hallucination-Resistant Temporal Grounding.- Whence the Voice? Self-supervised Dual-source Audio-Visual Localisation via Selective Convergence.- CLIMP: Contrastive Language-Image Mamba Pretraining.- DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space.- EchoStyle: Unlocking High-Fidelity Video Stylization with Reverse Data Synthesis.- Rolling Shutter Relative Pose Estimation Made Practical.- FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs.- CollectionLoRA: Collecting 50 Effects in 1 LoRA for Deployment.- MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots.- Adversarial Score Distillation for Stable One-Step Diffusion in Real-World Image Super-Resolution.- MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images.- Zero-Shot Novel Depth Synthesis Using Foundation Models Scene Representations.- Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning.- MirrorPPR: Exemplar-Based Portrait Photo Retouching.- Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning.- VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model.- The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models.- UniFusion: Sparse-View 4D Reconstruction via Unified Spatio-temporal Depth Alignment.- Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy.- Noise is a Good Teacher: A Noise-Driven Framework for Robust Collaborative Perception.- WildWorld: A Large-Scale Dataset for Action-Conditioned World Modeling with Explicit State Annotations.- Compact Low-Cost Hyperspectral Imaging via Angular-to-Spectral Diversity Conversion.- VLA Knows Its Limits.- Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent.- EgoTraj: Real-World Egocentric Human Trajectory.- CaRe: Critical Parameter Rectification for Efficient Visual Modeling.- Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks.\u003c\/span\u003e\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097164792135,"sku":"9783032371966","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v14.webp?v=1789885253"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-21","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; line-height: 107%; font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003eAxolotl3D: a Unified Framework for Faithful 3D Shape Completion.- Geometrically Consistent Multi-View Scene Generation from Freehand Sketches.- Gradient sparsity regularization for training unlearning-compatible models.- Iterative Perceptual Alignment for VLMs via Deterministic Reconstruction Feedback.- SeeClear: Reliable Transparent Object Depth Estimation via Generative Opacification.- Training-Free Multi-Concept Image Editing.- OVGGT: O(1) Constant-Cost Streaming Visual Geometry Transformer.- Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors.- NumColor: Precise Numeric Color Control in Text-to-Image Generation.- PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur.- Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation.- Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating.- OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning.- Contextual Image Attack: How Visual Context Exposes Multimodal Safety Vulnerabilities.- CtrlCoMo: Controllable Co-Speech Motion Generation with Gesture–Action Disentanglement.- CARA: Collision-Aware Resolution Adaptation for Multiresolution Hash Encoding Based Image Fitting.- What Moves? Localized Motion Representations for Compositional Scene Control.- Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection.- Gravity-aware partially calibrated absolute pose estimation from affine- or rotation-covariant features.- LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression.- Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching.- One-Shot Feed-Forward 360° Animatable Avatar via Inpainted UV-Space Gaussian Modeling.- HuCollisionField: Resolving Self-Collisions via Neural Fields for Human Prediction.- ReliefSAM: A Geometry-Augmented Multi-Prior Adapter for Bas-Relief Segmentation.- Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection.- URHead: A Unified UV-Space Representation for Joint Mesh–3DGS Optimization in Head Avatars.- Let's Reward Step-by-Step: Step-Aware Contrastive Alignment for Vision-Language Navigation in Continuous Environments.- Audio-Visual Continual Test-Time Adaptation without Forgetting.- \u003c\/span\u003e\u003cspan style=\"font-size: 10.0pt; line-height: 107%; font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: DE; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003eλ\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; line-height: 107%; font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003eSplit: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy.- Denoising-GS: Gaussian Splatting with Spatial-aware Denoising.- Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection.- CURE: Contextual Debiasing and Unbiased Refinement for Training-Free Open-Vocabulary Semantic Segmentation.- AnchorPrune: Relevance-Anchored Contextual Expansion for Visual Token Pruning.- MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training.- FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small-Object Detection.- Accurate Zero-shot Quantization via Hierarchical Teacher-Assistant Distillation.- LightSTAR: Efficient Visual Document Retrieval via Lightweight Selection with Vision-Adaptive Refinement.\u003c\/span\u003e\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097165054279,"sku":"9783032372116","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v15.webp?v=1789885315"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-22","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eNot.- Known.- Yet.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097165709639,"sku":"9783032372321","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v16.webp?v=1789885378"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-23","title":"Computer Vision - ECCV 2026","description":"\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eVD-LoRA: Adaptive Reuse of Low-Rank Directions for Continual Learning.- Stylized Video Generation via Decoupled Data Synthesis and Gated Style Token Injection.- RawGen: Learning Camera Raw Image Generation.- Color Pass-Through via Camera-Display Coupling.- Video Generation Models Are Inherent Lighting Estimators.- ZMIS-SAM: Segment Anything Model Enhanced With Wavelet Transform For Zooplankton Microscopy Image Instance Segmentation.- VIGA: View-Conditioned and Identity-Guided Adaptation for Aerial-Ground Person Re-Identification.- ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering.- EgoEverything: A Benchmark for Human Behavior–Inspired Long-Context Egocentric Video Understanding in AR Environment.- AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation.- DIGS: Differentiable, Incremental, Global, Scalable Pruning for Language Models.- PhysConvex: Physics-Informed Dynamic Convex Fields for Reconstruction and Simulation.- Objects as Audio-Visual Modal Sound Fields.- Reweighting Framewise Attention in Video Transformers for Facial Emotion Recognition.- Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding.- RADIANCE: Relative Adaptive Denoising with IP-Adapter for Novel Concept Enhancement.- Unlocking Complex Image Editing via Natively Interleaved Visual Textual CoT with Deep Confidence Reasoning.- Towards Sparsely Annotated Open World Object Detection.- OmniX: Any-view and Any-time 4D reconstruction via Feed-forward Trajectory Fields.- MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction.- Aligning Anything: Hierarchical Motion Estimation for Video Frame Interpolation.- TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization.- ReQuest: Rethinking-based Question-Aware Frame Selection for Long-Form Video QA.- Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction.- SpaMEM: Benchmarking Dynamic Spatial Reasoning via Perception–Memory Integration in Embodied Environments.- InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics.- Capturing Spectral and Spatial Patterns for Federated Remote Sensing Segmentation.- Boosting 3D Foundation Models with Featureless Pose Optimization.- Doe-2: 3D Representation World Model for Unified Driving Scene Forecasting.- ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models.- CASA: Cross-Attention over Self-Attention for Efficient Vision-Language Fusion.- Continuous Speculative Decoding for Autoregressive Image Generation.- H-Adapter: Pose-Robust Hairstyle Transfer via Attention-Derived, Source-Aligned Hair Masks.- PLOT: Pseudo-Labeling via Object Tracking for Monocular 3D Object Detection.- Domain Generalization via Text-Anchored Information Bottleneck.- There and Back Again: A Flexible-Frame Transformer for Multi-Exposure Fusion.- Difficulty-Conditioned Attribute-Specific Restoration for Low-Light Image Enhancement.- Proximity-CLIP: Text-Guided Semantic Proximity Learning for Zero-Shot Anomaly Detection.\u003c\/span\u003e\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097171542343,"sku":"9783032372352","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v17.webp?v=1789885439"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-24","title":"Computer Vision - 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They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097172590919,"sku":"9783032372529","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v18.webp?v=1789885500"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-25","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eSGP2: Coarse-to-Fine Controllable Multimodal Remote Sensing Image Generation.- Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution.- GameWorlds: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents.- InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360° Image.- Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously.- DIVER: Disentangling Camera–Object and Active–Passive Motion for Video Generation.- Text-Conditioned Background Generation for Editable Multi-Layer Documents.- VoCa: Unified Autoregressive Modeling for Talking Audio-Video Generation.- Decompose, Compare, and Decide: Multimodal LLMs are Implicit Few-Shot Learners.- NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding.- Hi-DiT: Hybrid Latent-Pixel Diffusion Transformer for Image Generation.- Cube-Splat: High-Fidelity 360° Gaussian Splatting SLAM via Cubemap Factorization and Adjoint-Consistent Optimization.- Motion-aware Sparse Pipeline for Lightweight Object Tracking.- VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning.- Face Anything: 4D Face Reconstruction from Any Image Sequence.- ReDesign: Recovering Editable Design Structures from Raster Images via Agentic Decomposition.- Distill on a Diet: Efficient Knowledge Distillation via Learnable Data Pruning.- SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models.- VoxAnchor: Explicit Voxel-Semantic Grounding for Spatial Understanding in Videos.- LISA: Locality-Informed Speculative Decoding for Accelerating Autoregressive Image Generation.- Layering Virtual Try-On.- clean2green2clean: Synthesising Bad Composites to Learn Actor-Background Video Harmonisation.- EatVid-Bench: A Multimodal Fine-Grained Eating Behavior Video Dataset.- EAGS: Error-Aware Gaussian Splatting with Dual-Confidence-Guided Modeling for Uncalibrated Driving Scenes.- What Images Cannot Say: Language-Guided Olfactory Representation Learning.- PAI-Studio: Cinematic Video Background Replacement with Camera-Aware Motion.- Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility.- Sparse-View Surface Reconstruction using Gaussian Splatting through High-Confidence Depth Propagation with Normal Priors.- Reasoning Path and Latent State Analysis for Multi-view Visual Spatial Reasoning: A Cognitive Science Perspective.- Calibrate Before Adapt: Training-Free Pseudo-Label Calibration for Semi-Supervised Cross-Domain Few-Shot Detection.- Atlas is Your Perfect Context: One-Shot Customization for Generalizable Foundational Medical Image Segmentation.- ICLAgent:  Integrated Circuit Footprint Geometry Labeling via LMM-empowered Multi-Agent Framework.- Frozen CLIP Priors for Robust Self-Supervised Poisson Inverse Problems.- CurveStream: Boosting Streaming Video Understanding in MLLMs via Curvature-Aware Hierarchical Visual Memory Management.- 3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems.- Token-level Response-visual Attention Guidance for Multimodal LLMs Knowledge Distillation.- Benchmarking MLLMs on Mistake Recognition and Explanation in Single-Step Components of Cooking.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097174688071,"sku":"9783032372550","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v19.webp?v=1789885561"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-26","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eKirin: Animal Motion Generation from In-the-Wild Video.- Dynamic World Generation Made Efficient.- Beyond Time Shifts: Adapting Omni-LLM as a Reference-Free Evaluator for Generative Audio-Visual Models.- WARP: Wide Attention with Rich Projections for Image Super-Resolution.- Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models.- Adapting MLLMs for Nuanced Video Retrieval.- Leaving the City: A Large-Scale Aerial Dataset for Cross-Season Localization in Unstructured Environments.- Triangular Consistency as a Universal Constraint for Learning Optical Flow.- NoiseTilt: Noise-Tilted Reverse Kernels for Diffusion Reward Alignment.- PyraE2E: Enhancing End-to-End WSI Analysis via Cross-Scale Super-Resolution.- Precise Video-to-Audio Generation with Cross-Modal Alignment in Latent Space.- ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling.- Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift.- BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations.- Interpretation-Oriented Cloud Removal via Observation-Anchored Residual Flow with Geo-Contextual Alignment.- ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving.- MixCompress: Mixture of Experts for Variable Rate Learned Image Compression.- LongEgoRefer: A Benchmark for Long-Form Egocentric Video Referring Expression Comprehension.- VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM.- Curvature-Guided Mixing for MLLM Adaptation.- SAEdit: Token-Level Control for Continuous Image Editing via Sparse Autoencoder.- UNet-Twice: A Simple Structured Reference-based Inpainting Framework.- RefracGS: Novel View Synthesis Through Refractive Water Surfaces with 3D Gaussian Ray Tracing.- A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP.- FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI.- HOIMask: Towards Generative Masked Modeling for Human Object Interaction Generation.- Beyond Attention: Convolutional Global Context for Remote Sensing Change Detection.- DPGS: A Diffusion-Prior Guided Framework for Large-Scale 3D Gaussian Splatting Reconstruction.- Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models.- ProSR: Semantic-Prototype-Guided Discrete Modeling for Physically Consistent SAR Super-Resolution.- 340 FPS Reflection-free Video from Spikes Modulated by a Rapidly Rotating Polarizer.- Spatial Amsan: A Benchmark for Perception-Grounded Spatial Reasoning and Action Evaluation in Egocentric Manipulation.- Ex-Sim(3)-Reg: 2D-3D Correspondence Pruning via Extended Sim(3) Registration.- SyncCache: Exploiting Asymmetric Dynamics for Fast Audio-Driven Portrait Animation.- Delayed Bidirectional Alignment via Disentangled Audio Semantics for Audio-Visual Segmentation.- DOGE: Differentiable Bézier Graph Optimization for Road Network Extraction.- VTEdit-Bench: A Comprehensive Benchmark for Multi-Reference Image Editing  Models in Virtual Try-On.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097177243975,"sku":"9783032372611","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v20.webp?v=1789885622"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-27","title":"Computer Vision - 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They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097180455239,"sku":"9783032372710","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v21.webp?v=1789885683"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-28","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. 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They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097197658439,"sku":"9783032373359","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v25.webp?v=1789885927"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-32","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eDepWorldSG: Depth-Aware 3D Semantic Scene Graph Generation via World-Model Priors.- Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention.- RAGrasp: A Retrieval-Augmented Framework with Diversity-Aware Modeling for Dexterous Grasp Generation.- CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation.- PDF-Omni: Poincaré Dual Disk Distortion Field-based Recurrent Update for Omnidirectional Stereo Matching.- Don’t Mask Out the Background! 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They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097229443399,"sku":"9783032373595","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v27.webp?v=1789886050"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-34","title":"Computer Vision - ECCV 2026","description":"\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eDRS-VPT: Directly Re-localizing in Scenes using a Vision and Point Transformer.- Geometry Grounding: Elevating Blind Distortion Correction with 3D Structural Priors.- MTVDiff: Multimodal Conditional Latent Diffusion for Enhanced Thermal-to-Visible Face Translation.- OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams.- Infinite Gaze Generation for Videos with Autoregressive Diffusion.- SCORE: SubDistribution-aware Collaborative Knowledge Reinforcing for Cloth-Hybrid Lifelong Person Re-Identification.- OBBSeg: Irregular Lesion Segmentation under Oriented Bounding Box Annotations.- Evaluating and Understanding Model Editing for Medical Vision Language Models.- SAFE-Pruner: Semantic Attention–Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation.- TR-MoE: Temporal Reliability-Aware Mixture-of-Experts for Robust Tracking.- SynVAR: Synergizing Spatial and Semantic Alignment in Visual Autoregressive Model.- Semantic Line Diffusion: Character-Consistent Line Art from text-annotated Storyboards.- From Local Geometry to Global Pseudo-Labeling for Robust Positive–Unlabeled Learning under Covariate Shift.- Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction.- Rethinking Adversary in Semantic Segmentation: An Out-of-Distribution Perspective.- UHD-MFF: Shattering Barriers in Multi-Focus Ultra-High-Definition Image Fusion via Learnable Lookup Tables.- ProAct: Agentic Lookahead in Interactive Environments.- Bottom-up modeling of repeated elements via single image analysis-by-synthesis.- Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation.- BWAFDA: Block-wise Weighted Attention Fusion with Detail-aware for No-Reference Image Quality Assessment.- MeGAS: Thermomechanical Dynamic Gaussian Splatting for Thermophysical Scene Editing.- EgoPHI: Estimating 3D Hand-Object Contact and Force from Egocentric Vision.- Rectified Embedding Flow Learning for Aerial Multi-view  Geo-localization.- SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving.- GIDE: Unlocking Diffusion LLMs for Precise Training-Free Image Editing.- IC-World: In-Context Generation for Shared World Modeling.- VERITAS: A Multi-agent Co-scientist for Verifiable Image-Derived Hypothesis Testing.- ROSE: Real-Time Open-World Scene Understanding from Monocular Video via Compact Multimodal 4D Scene Graphs.- FlashBEV: Fast and Memory-Efficient Exact BEV Transformation with IO-Awareness.- Bootstrapping Articulated 3D Reconstruction from 2D Image Collections.- ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs.- HSD: Training-Free Acceleration for Document Parsing Vision-Language Models with Hierarchical Speculative Decoding.- Synthetic Sub-Aperture Phase Augmentation for Demosaicing 2×2 Shared Microlens Sensors.- Geometric Distillation from Rectified Stereo: Leveraging Epipolar Cues for Monocular Depth.- Trajectory Forcing: Structure-First Generation with Controllable Semantic Trajectories.- DTI: Dynamic Trajectory Initialization for Generative Face Video Super-Resolution.- FreeGen: Feed-Forward Reconstruction–Generation Co-Training for Free-Viewpoint Driving Scene Synthesis.\u003c\/span\u003e\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097241305415,"sku":"9783032373625","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v28.webp?v=1789886112"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-35","title":"Computer Vision - 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They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3D reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; and motion estimation.\u003c\/p\u003e","brand":"Paolo Favaro","offers":[{"title":"Default Title","offer_id":55097284165959,"sku":"9783032374295","price":85.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computer-vision-eccv-2026-ebook-cover-paolo-favaro-springer-2026-v33.webp?v=1789886418"},{"product_id":"computer-vision-eccv-2026-paolo-favaro-ebook-40","title":"Computer Vision - ECCV 2026","description":"\u003cp\u003eThe multi-volume set of LNCS books with volume numbers 17001 up to 17078 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.\u003c\/p\u003e\n\u003cp\u003eThe 2834 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. 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