Computer vision -- ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. by European Conference on Computer Vision Tel Aviv, Israel, SpringerLink (Online service)

Table of Contents: “…Contrastive Deep Supervision -- Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective -- LocVTP: Video-Text Pre-training for Temporal Localization -- Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads -- Implicit Neural Representations for Image Compression -- LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space -- Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining -- Learning Ego 3D Representation As Ray Tracing -- Static and Dynamic Concepts for Self-Supervised Video Representation Learning -- SphereFed: Hyperspherical Federated Learning -- Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning -- Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning -- Balancing Stability and Plasticity through Advanced Null Space in Continual Learning -- DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning -- CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One -- Manifold Adversarial Learning for Cross-Domain 3D Shape Representation -- Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches -- LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling -- On the Versatile Uses of Partial Distance Correlation in Deep Learning -- Self-Regulated Feature Learning via Teacher-Free Feature Distillation -- Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning -- Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification -- DAS: Densely-Anchored Sampling for Deep Metric Learning -- Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition -- A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning -- TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers -- UFO: Unified Feature Optimization -- Sound Localization by Self-Supervised Time Delay Estimation -- X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation -- SLIP: Self-Supervision Meets Language-Image Pre-training -- Discovering Deformable Keypoint Pyramids -- Neural Video Compression Using GANs for Detail Synthesis and Propagation -- A Contrastive Objective for Learning Disentangled Representations -- PT4AL: Using Self-Supervised Pretext Tasks for Active Learning -- ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer -- DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning -- Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective -- Decoupled Contrastive Learning -- Joint Learning of Localized Representations from Medical Images and Reports -- The Challenges of Continuous Self-Supervised Learning -- Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval -- Identifying Hard Noise in Long-Tailed Sample Distribution.…”
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Computer vision - ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. by European Conference on Computer Vision Tel Aviv, Israel, SpringerLink (Online service)

Table of Contents: “…Active Label Correction Using Robust Parameter Update and Entropy Propagation -- Unpaired Image Translation via Vector Symbolic Architectures -- UniNet: Unified Architecture Search with Convolution, Transformer, and MLP -- AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers -- TinyViT: Fast Pretraining Distillation for Small Vision Transformers -- Equivariant Hypergraph Neural Networks -- ScaleNet: Searching for the Model to Scale -- Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction -- ViTAS: Vision Transformer Architecture Search -- LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds -- Uncertainty-DTW for Time Series and Sequences -- Black-Box Few-Shot Knowledge Distillation -- Revisiting Batch Norm Initialization -- SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling -- Filter Pruning via Feature Discrimination in Deep Neural Networks -- LA3: Efficient Label-Aware AutoAugment -- Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps -- BA-Net: Bridge Attention for Deep Convolutional Neural Networks -- SAU: Smooth Activation Function Using Convolution with Approximate Identities -- Multi-Exit Semantic Segmentation Networks -- Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks -- PointScatter: Point Set Representation for Tubular Structure Extraction -- Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection -- Graph-Constrained Contrastive Regularization for Semi-Weakly Volumetric Segmentation -- Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration -- Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation -- Personalizing Federated Medical Image Segmentation via Local Calibration -- One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement -- Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization -- Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation -- ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images -- CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images -- UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier -- DLME: Deep Local-Flatness Manifold Embedding -- Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching -- Graph Neural Network for Cell Tracking in Microscopy Videos -- CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation -- Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels -- K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment -- RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification -- Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images -- Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis -- Towards Grand Unification of Object Tracking.…”
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Computer vision - ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. by European Conference on Computer Vision Tel Aviv, Israel, SpringerLink (Online service)

Table of Contents: “…Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization -- BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks -- You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding -- Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks -- FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks -- Theoretical Understanding of the Information Flow on Continual Learning Performance -- Exploring Lottery Ticket Hypothesis in Spiking Neural Networks -- On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network -- LANA: Latency Aware Network Acceleration -- RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization -- U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search -- PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization -- Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach -- Understanding the Dynamics of DNNs Using Graph Modularity -- Latent Discriminant Deterministic Uncertainty -- Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals -- HIVE: Evaluating the Human Interpretability of Visual Explanations -- BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks -- SESS: Saliency Enhancing with Scaling and Sliding -- No Token Left Behind: Explainability-Aided Image Classification and Generation -- Interpretable Image Classification with Differentiable Prototypes Assignment -- Contributions of Shape, Texture, and Color in Visual Recognition -- STEEX: Steering Counterfactual Explanations with Semantics -- Are Vision Transformers Robust to Patch Perturbations? …”
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Computer vision -- ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. by European Conference on Computer Vision Tel Aviv, Israel, SpringerLink (Online service)

Table of Contents: “…Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling -- Learning to Generate Realistic LiDAR Point Clouds -- RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds -- Diverse Image Inpainting with Normalizing Flow -- Improved Masked Image Generation with Token-Critic -- TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation -- Exploring Gradient-Based Multi-directional Controls in GANs -- Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition -- Neural Scene Decoration from a Single Photograph -- Outpainting by Queries -- Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes -- ChunkyGAN: Real Image Inversion via Segments -- GAN Cocktail: Mixing GANs without Dataset Access -- Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering -- Controllable Shadow Generation Using Pixel Height Maps -- Learning Where to Look Generative NAS Is Surprisingly Efficient -- Subspace Diffusion Generative Models -- DuelGAN: A Duel between Two Discriminators Stabilizes the GAN Training -- MINER: Multiscale Implicit Neural Representation -- An Embedded Feature Whitening Approach to Deep Neural Network Optimization -- Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization -- Self-Supervised Learning of Visual Graph Matching -- Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models -- QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving q-Norm Optimization Problem -- R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning -- Domain Generalization by Mutual-Information Regularization with Pre-trained Models -- Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning -- Neural-Sim: Learning to Generate Training Data with NeRF -- Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning -- Learned Variational Video Color Propagation -- Continual Variational Autoencoder Learning via Online Cooperative Memorization -- Learning to Learn with Smooth Regularization -- Incremental Task Learning with Incremental Rank Updates -- Batch-Efficient EigenDecomposition for Small and Medium Matrices -- Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging -- Approximate Discrete Optimal Transport Plan with Auxiliary Measure Method -- A Comparative Study of Graph Matching Algorithms in Computer Vision -- Improving Generalization in Federated Learning by Seeking Flat Minima -- Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not -- Transfer without Forgetting -- AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation -- Tackling Long-Tailed Category Distribution under Domain Shifts -- Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation.…”
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Computer vision - ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. by European Conference on Computer Vision Tel Aviv, Israel, SpringerLink (Online service)

Table of Contents: “…Learning Mutual Modulation for Self-Supervised Cross-Modal Super Resolution -- Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration -- Neural Color Operators for Sequential Image Retouching -- Optimizing Image Compression via Joint Learning with Denoising -- Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks -- Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution -- Modeling Mask Uncertainty in Hyperspectral Image Reconstruction -- Perceiving and Modeling Density for Image Dehazing -- Stripformer: Strip Transformer for Fast Image Deblurring -- Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction -- Frequency and Spatial Dual Guidance for Image Dehazing -- Towards Real-World HDRTV Reconstruction: A Data Synthesis Based Approach -- Learning Discriminative Shrinkage Deep Networks for Image Deconvolution -- KXNet: A Model-Driven Deep Neural Network for Blind Super Resolution -- ARM: Any-Time Super-Resolution Method -- Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines -- RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos -- Memory-Augmented Model-Driven Network for Pansharpening -- All You Need Is RAW: Defending against Adversarial Attacks with Camera Image Pipelines -- Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer -- Style-Guided Shadow Removal -- D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution -- GRIT-VLP: Grouped Mini-Batch Sampling for Efficient Vision and Language Pre-training -- Efficient Video Deblurring Guided by Motion Magnitude -- Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model -- Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression -- Image Super-Resolution with Deep Dictionary -- TempFormer: Temporally Consistent Transformer for Video Denoising -- RAWtoBit: A Fully End-to-End Camera ISP Network -- DRCNet: Dynamic Image Restoration Contrastive Network -- Zero-Shot Learning for Reflection Removal of Single 360-Degree Image -- Transformer with Implicit Edges for Particle-Based Physics Simulation -- Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior -- Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images -- Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance -- AlphaVC: High-Performance and Efficient Learned Video Compression -- Content-Oriented Learned Image Compression -- RRSR:Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection -- Contrastive Prototypical Network with Wasserstein Confidence Penalty -- Learn to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition -- Self-Support Few-Shot Semantic Segmentation -- Few-Shot Object Detection with Model Calibration -- Self-Supervision Can Be a Good Few-Shot Learner.…”
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Computer vision - ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. by European Conference on Computer Vision Tel Aviv, Israel, SpringerLink (Online service)

Table of Contents: “…Salient Object Detection for Point Clouds -- Learning Semantic Segmentation from Multiple Datasets with Label Shifts -- Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination -- Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning -- Variance-Aware Weight Initialization for Point Convolutional Neural Networks -- Break and Make: Interactive Structural Understanding Using LEGO Bricks -- Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation -- 3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching -- Video Restoration Framework and Its Meta-Adaptations to Data-Poor Conditions -- MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud -- Scene Text Recognition with Permuted Autoregressive Sequence Models -- When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition -- Detecting Tampered Scene Text in the Wild -- Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning -- GLASS: Global to Local Attention for Scene-Text Spotting -- COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts -- Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting -- Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition -- Levenshtein OCR -- Multi-Granularity Prediction for Scene Text Recognition -- Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting -- Contextual Text Block Detection towards Scene Text Understanding -- CoMER: Modeling Coverage for Transformer-Based Handwritten Mathematical Expression Recognition -- Dont Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context -- TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers -- Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features -- SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition -- Pure Transformer with Integrated Experts for Scene Text Recognition -- OCR-Free Document Understanding Transformer -- CAR: Class-Aware Regularizations for Semantic Segmentation -- Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation -- SeqFormer: Sequential Transformer for Video Instance Segmentation -- Saliency Hierarchy Modeling via Generative Kernels for Salient Object Detection -- In Defense of Online Models for Video Instance Segmentation -- Active Pointly-Supervised Instance Segmentation -- A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining -- XMem: Long-Term Video Object Segmentation with an Atkinson- Shiffrin Memory Model -- Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving -- 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds -- Extract Free Dense Labels from CLIP -- 3D Compositional Zero-Shot Learning with DeCompositional Consensus -- Video Mask Transfiner for High-Quality Video Instance Segmentation.…”
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Computer vision - ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. by European Conference on Computer Vision Tel Aviv, Israel, SpringerLink (Online service)

Table of Contents: “…MHR-Net: Multiple-Hypothesis Reconstruction of Non-rigid Shapes from 2D Views -- Depth Map Decomposition for Monocular Depth Estimation -- Monitored Distillation for Positive Congruent Depth Completion -- Resolution-Free Point Cloud Sampling Network with Data Distillation -- Organic Priors in Non-rigid Structure from Motion -- Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation -- DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks -- CHORE: Contact, Human and Object REconstruction from a Single RGB Image -- Learned Vertex Descent: A New Direction for 3D Human Model Fitting -- Self-Calibrating Photometric Stereo by Neural Inverse Rendering -- 3D Clothed Human Reconstruction in the Wild -- Directed Ray Distance Functions for 3D Scene Reconstruction -- Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation from Monocular RGB Image -- Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression -- CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image -- ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization -- 3D Siamese Transformer Network for Single Object Tracking on Point Clouds -- Object Wake-Up: 3D Object Rigging from a Single Image -- IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction -- Realistic One-Shot Mesh-Based Head Avatars -- A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks -- Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion -- Perspective Phase Angle Model for Polarimetric 3D Reconstruction -- DeepShadow: Neural Shape from Shadow -- Camera Auto-Calibration from the Steiner Conic of the Fundamental Matrix -- Super-Resolution 3D Human Shape from a Single Low-Resolution Image -- Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion -- ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing -- CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement -- Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation -- Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction -- MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation -- SUPR: A Sparse Unified Part-Based Human Representation -- Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach -- Masked Autoencoders for Point Cloud Self-Supervised Learning -- Intrinsic Neural Fields: Learning Functions on Manifolds -- Skeleton-Free Pose Transfer for Stylized 3D Characters -- Masked Discrimination for Self-Supervised Learning on Point Clouds -- FBNet: Feedback Network for Point Cloud Completion -- Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds.…”
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Computer vision -- ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. by European Conference on Computer Vision Tel Aviv, Israel, SpringerLink (Online service)

Table of Contents: “…Adaptive Image Transformations for Transfer-Based Adversarial Attack -- Generative Multiplane Images: Making a 2D GAN 3D-Aware -- AdvDO: Realistic Adversarial Attacks for Trajectory Prediction -- Adversarial Contrastive Learning via Asymmetric InfoNCE -- One Size Does NOT Fit All: Data-Adaptive Adversarial Training -- UniCR: Universally Approximated Certified Robustness via Randomized Smoothing -- Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips -- Robust Network Architecture Search via Feature Distortion Restraining -- SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination -- Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack -- Data-Free Backdoor Removal Based on Channel Lipschitzness -- Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack -- Learning Energy-Based Models with Adversarial Training -- Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation -- Revisiting Outer Optimization in Adversarial Training -- Zero-Shot Attribute Attacks on Fine-Grained Recognition Models -- Towards Effective and Robust Neural Trojan Defenses via Input Filtering -- Scaling Adversarial Training to Large Perturbation Bounds -- Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack -- Generative Domain Adaptation for Face Anti-Spoofing -- MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition -- GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality -- UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection -- Effective Presentation Attack Detection Driven by Face Related Task -- PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation -- AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing -- P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation -- D&D: Learning Human Dynamics from Dynamic Camera -- Explicit Occlusion Reasoning for Multi-Person 3D Human Pose Estimation -- COUCH: Towards Controllable Human-Chair Interactions -- Identity-Aware Hand Mesh Estimation and Personalization from RGB Images -- C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation -- Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields -- CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation -- DeciWatch: A Simple Baseline for 10O Efficient 2D and 3D Pose Estimation -- SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos -- PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation -- Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement -- Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction -- Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation -- Audio-Driven Stylized Gesture Generation with Flow-Based Model -- Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation.…”
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Computer vision - ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. by European Conference on Computer Vision Tel Aviv, Israel, SpringerLink (Online service)

Table of Contents: “…Editing Out-of-Domain GAN Inversion via Differential Activations -- On the Robustness of Quality Measures for GANs -- Sound-Guided Semantic Video Generation -- Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation -- Controllable Video Generation through Global and Local Motion Dynamics -- StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN -- Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer -- Combining Internal and External Constraints for Unrolling Shutter in Videos -- WISE: Whitebox Image Stylization by Example-Based Learning -- Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination -- Transformers As Meta-Learners for Implicit Neural Representations -- Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment -- High-Resolution Virtual Try-On with Misalignment and OcclusionHandled Conditions -- A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution -- Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis -- AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields -- Improving the Perceptual Quality of 2D Animation Interpolation -- Selective TransHDR: Transformer-Based Selective HDR Imaging Using Ghost Region Mask -- Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution -- GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constraints -- DoodleFormer: Creative Sketch Drawing with Transformers -- Implicit Neural Representations for Variable Length Human Motion Generation -- Learning Object Placement via Dual-Path Graph Completion -- Expanded Adaptive Scaling Normalization for End to End Image Compression -- Generator Knows What Discriminator Should Learn in Unconditional GANs -- Compositional Visual Generation with Composable Diffusion Models -- ManiFest: Manifold Deformation for Few-Shot Image Translation -- ManiFest: Manifold Deformation for Few-Shot Image Translation -- Supervised Attribute Information Removal and Reconstruction for Image Manipulation -- BLT: Bidirectional Layout Transformer for Controllable Layout Generation -- Diverse Generation from a Single Video Made Possible -- Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features -- Bridging the Domain Gap towards Generalization in Automatic Colorization -- Generating Natural Images with Direct Patch Distributions Matching -- Context-Consistent Semantic Image Editing with Style-Preserved Modulation -- Eliminating Gradient Conflict in Reference-Based Line-Art Colorization -- Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations -- JPEG Artifacts Removal via Contrastive Representation Learning -- Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning -- Efficient Long-Range Attention Network for Image Super-Resolution -- FlowFormer: A Transformer Architecture for Optical Flow -- Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction -- Learning Shadow Correspondence for Video Shadow Detection -- Metric Learning Based Interactive Modulation for Real-World Super-Resolution.…”
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