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09/02/2023
Domain Generalization via Balancing Training Difficulty and Model Capability
Domain generalization (DG) aims to learn domain-generalizable models fro...
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08/28/2023
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Multi-Label Image Recognition (MLIR) is a challenging task that aims to ...
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07/28/2023
Uncertainty-aware Unsupervised Multi-Object Tracking
Without manually annotated identities, unsupervised multi-object tracker...
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06/29/2023
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation
Traditional domain adaptation assumes the same vocabulary across source ...
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04/03/2023
Vision-Language Models for Vision Tasks: A Survey
Most visual recognition studies rely heavily on crowd-labelled data in d...
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02/27/2023
Aligning Bag of Regions for Open-Vocabulary Object Detection
Pre-trained vision-language models (VLMs) learn to align vision and lang...
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11/23/2022
Reinforcement learning for traffic signal control in hybrid action space
The prevailing reinforcement-learning-based traffic signal control metho...
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08/23/2022
ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild
This paper investigates the task of 2D whole-body human pose estimation,...
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08/16/2022
PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation
Human pose estimation aims to accurately estimate a wide variety of huma...
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07/22/2022
3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal
Estimating 3D interacting hand pose from a single RGB image is essential...
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07/21/2022
Pose for Everything: Towards Category-Agnostic Pose Estimation
Existing works on 2D pose estimation mainly focus on a certain category,...
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04/19/2022
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
Vision transformers have achieved great successes in many computer visio...
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01/21/2022
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
Localizing keypoints of an object is a basic visual problem. However, su...
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09/13/2021
Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
This paper studies the task of estimating the 3D human poses of multiple...
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05/21/2021
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search
Human pose estimation has achieved significant progress in recent years....
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05/13/2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
Human pose estimation is a fundamental yet challenging task in computer ...
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07/23/2020
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation
Multi-person pose estimation is challenging because it localizes body ke...
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07/23/2020
Whole-Body Human Pose Estimation in the Wild
This paper investigates the task of 2D human whole-body pose estimation,...
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02/08/2020
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning
This paper presents a deep reinforcement learning algorithm for online a...
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12/27/2019
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Minimizing the discrepancy of feature distributions between different do...
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11/20/2019
SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation
Deep hashing methods have been proved to be effective and efficient for ...
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10/25/2019
TRB: A Novel Triplet Representation for Understanding 2D Human Body
Human pose and shape are two important components of 2D human body. Howe...
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03/21/2019
Multi-person Articulated Tracking with Spatial and Temporal Embeddings
We propose a unified framework for multi-person pose estimation and trac...
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07/04/2018
Deep Saliency Hashing
In recent years, hashing methods have been proved efficient for large-sc...
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03/19/2018
Unsupervised Semantic Deep Hashing
In recent years, deep hashing methods have been proved to be efficient s...
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03/08/2018
