Computer Vision – ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXII / edited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner.

Format:

Book

Author/Creator:

Avidan, Shai, author.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13682

Language:

English

Subjects (All):

Computer vision.

Computer Vision.

Local Subjects:

Computer Vision.

Physical Description:

1 online resource (828 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers 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; object recognition; motion estimation.

Contents:

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Robust Multi-Object Tracking by Marginal Inference

PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?

Particle Video Revisited: Tracking through Occlusions Using Point Trajectories

Tracking Objects As Pixel-Wise Distributions

CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds

Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline

Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting

AiATrack: Attention in Attention for Transformer Visual Tracking

Disentangling Architecture and Training for Optical Flow

A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow

Robust Landmark-Based Stent Tracking in X-Ray Fluoroscopy

Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations

Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction

Diverse Human Motion Prediction Guided by Multi-level Spatial- Temporal Anchors

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction

Sequential Multi-View Fusion Network for Fast LiDAR Point Motion Estimation

E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs

Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving

Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

MotionCLIP: Exposing Human Motion Generation to CLIP Space

Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking

Aware of the History: Trajectory Forecasting with the Local Behavior Data

Optical Flow Training under Limited Label Budget via Active Learning

Hierarchical Feature Embedding for Visual Tracking

Tackling Background Distraction in Video Object Segmentation

Social-Implicit: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation

TEMOS: Generating Diverse Human Motions from Textual Descriptions

Tracking Every Thing in the Wild

HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance

Towards Sequence-Level Training for Visual Tracking

Learned Monocular Depth Priors in Visual-Inertial Initialization

Robust Visual Tracking by Segmentation

MeshLoc: Mesh-Based Visual Localization

S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction

Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization

FEAR: Fast, Efficient, Accurate and Robust Visual Tracker

PREF: Predictability Regularized NeuralMotion Fields

View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums

HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking

RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image

Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation.

Other Format:

Print version: Avidan, Shai Computer Vision - ECCV 2022

ISBN:

9783031200472

3031200470