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Computer Vision – ECCV 2022

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Cover of 'Computer Vision – ECCV 2022'

Table of Contents

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    Book Overview
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    Chapter 1 ByteTrack: Multi-object Tracking by Associating Every Detection Box
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    Chapter 2 Robust Multi-object Tracking by Marginal Inference
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    Chapter 3 PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking?
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    Chapter 4 Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories
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    Chapter 5 Tracking Objects as Pixel-Wise Distributions
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    Chapter 6 CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds
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    Chapter 7 Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline
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    Chapter 8 Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting
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    Chapter 9 AiATrack: Attention in Attention for Transformer Visual Tracking
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    Chapter 10 Disentangling Architecture and Training for Optical Flow
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    Chapter 11 A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow
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    Chapter 12 Robust Landmark-Based Stent Tracking in X-ray Fluoroscopy
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    Chapter 13 Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations
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    Chapter 14 Social-SSL: Self-supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction
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    Chapter 15 Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors
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    Chapter 16 Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction
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    Chapter 17 Sequential Multi-view Fusion Network for Fast LiDAR Point Motion Estimation
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    Chapter 18 E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs
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    Chapter 19 Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving
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    Chapter 20 Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
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    Chapter 21 MotionCLIP: Exposing Human Motion Generation to CLIP Space
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    Chapter 22 Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking
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    Chapter 23 Aware of the History: Trajectory Forecasting with the Local Behavior Data
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    Chapter 24 Optical Flow Training Under Limited Label Budget via Active Learning
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    Chapter 25 Hierarchical Feature Embedding for Visual Tracking
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    Chapter 26 Tackling Background Distraction in Video Object Segmentation
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    Chapter 27 Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
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    Chapter 28 TEMOS : Generating Diverse Human Motions from Textual Descriptions
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    Chapter 29 Tracking Every Thing in the Wild
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    Chapter 30 HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance
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    Chapter 31 Towards Sequence-Level Training for Visual Tracking
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    Chapter 32 Learned Monocular Depth Priors in Visual-Inertial Initialization
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    Chapter 33 Robust Visual Tracking by Segmentation
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    Chapter 34 MeshLoc: Mesh-Based Visual Localization
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    Chapter 35 S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction
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    Chapter 36 Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization
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    Chapter 37 FEAR: Fast, Efficient, Accurate and Robust Visual Tracker
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    Chapter 38 PREF: Predictability Regularized Neural Motion Fields
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    Chapter 39 View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
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    Chapter 40 HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking
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    Chapter 41 RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer
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    Chapter 42 SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
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    Chapter 43 Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation
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Title
Computer Vision – ECCV 2022
Published by
Springer Nature Switzerland, October 2022
DOI 10.1007/978-3-031-20047-2
ISBNs
978-3-03-120046-5, 978-3-03-120047-2
Editors

Avidan, Shai, Brostow, Gabriel, Cissé, Moustapha, Farinella, Giovanni Maria, Hassner, Tal

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