activity
20222026
most citedTSA-Net: Tube Self-Attention Network for Action Quality Assessment

94 citations · 135 across the 25 of their papers we have counts for

collaborators

26 papers

cs.RO2026

SwingBot: Learning Whole-Body Brachiation for Humanoid Robots

Yujie Xiong, Peng Zhai, Taixian Hou +6

Brachiation enables primates to move across overhead supports when ground paths are blocked, suggesting a complementary locomotion mode for robots operating in cluttered or hazardo…

cs.RO2026

MulDP: Multimodal Diffusion Policy for Autonomous Quadruped Parkour Navigation across Complex Terrains

Kangmai Hu, Yueqi Zhang, Peng Zhai +5

Quadruped robots have demonstrated impressive agility in parkour locomotion across complex terrains. However, most systems still rely on human intervention for high-level planning,…

cs.RO2026

MUJICA: Multi-skill Unified Joint Integration of Control Architecture for Wheeled-Legged Robots

Yuqi Li, Peng Zhai, Yueqi Zhang +5

Wheeled-legged robots hold promise for traversing complex terrains and offer superior mobility compared to legged robots. However, wheeled-legged robots must effectively balance bo…

cs.RO2026

KiRAS: Keyframe Guided Self-Imitation for Robust and Adaptive Skill Learning in Quadruped Robots

Xiaoyi Wei, Peng Zhai, Jiaxin Tu +5

With advances in reinforcement learning and imitation learning, quadruped robots can acquire diverse skills within a single policy by imitating multiple skill-specific datasets. Ho…

cs.GR2026

UniMGS: Unifying Mesh and 3D Gaussian Splatting with Single-Pass Rasterization and Proxy-Based Deformation

Zeyu Xiao, Mingyang Sun, Yimin Cong +7

Joint rendering and deformation of mesh and 3D Gaussian Splatting (3DGS) have significant value as both representa tions offer complementary advantages for graphics applica tions.…

cs.CV2025

FysicsWorld: A Unified Full-Modality Benchmark for Any-to-Any Understanding, Generation, and Reasoning

Yue Jiang, Dingkang Yang, Minghao Han +6

Despite rapid progress in multimodal large language models (MLLMs) and emerging omni-modal architectures, current benchmarks remain limited in scope and integration, suffering from…

cs.CV2025★ 1 cited

Improving Multimodal Sentiment Analysis via Modality Optimization and Dynamic Primary Modality Selection

Dingkang Yang, Mingcheng Li, Xuecheng Wu +5

Multimodal Sentiment Analysis (MSA) aims to predict sentiment from language, acoustic, and visual data in videos. However, imbalanced unimodal performance often leads to suboptimal…

cs.CL2025

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Keliang Liu, Dingkang Yang, Ziyun Qian +7

In recent years, training methods centered on Reinforcement Learning (RL) have markedly enhanced the reasoning and alignment performance of Large Language Models (LLMs), particular…

cs.RO2025★ 5 cited

RENet: Fault-Tolerant Motion Control for Quadruped Robots via Redundant Estimator Networks under Visual Collapse

Yueqi Zhang, Quancheng Qian, Taixian Hou +5

Vision-based locomotion in outdoor environments presents significant challenges for quadruped robots. Accurate environmental prediction and effective handling of depth sensor noise…

cs.RO2025

Music-Driven Legged Robots: Synchronized Walking to Rhythmic Beats

Taixian Hou, Yueqi Zhang, Xiaoyi Wei +4

We address the challenge of effectively controlling the locomotion of legged robots by incorporating precise frequency and phase characteristics, which is often ignored in locomoti…

cs.RO2025

Continuous Control of Diverse Skills in Quadruped Robots Without Complete Expert Datasets

Jiaxin Tu, Xiaoyi Wei, Yueqi Zhang +5

Learning diverse skills for quadruped robots presents significant challenges, such as mastering complex transitions between different skills and handling tasks of varying difficult…

cs.RO2024

A Robust Quadruped Robot with Twisting Waist for Flexible Motions

Quancheng Qian, Xiaoyi Wei, Zonghao Zhang +6

The waist plays a crucial role in the agile movement of many animals in nature. It provides the torso with additional degrees of freedom and flexibility, inspiring researchers to i…

cs.MA2024

Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions

Weifan Long, Wen Wen, Peng Zhai +1

Zero-shot coordination problem in multi-agent reinforcement learning (MARL), which requires agents to adapt to unseen agents, has attracted increasing attention. Traditional approa…

cs.GR2024

PhysHand: A Hand Simulation Model with Physiological Geometry, Physical Deformation, and Accurate Contact Handling

Mingyang Sun, Dongliang Kou, Ruisheng Yuan +7

In virtual Hand-Object Interaction (HOI) scenarios, the authenticity of the hand's deformation is important to immersive experience, such as natural manipulation or tactile feedbac…

cs.CV2024

Large Vision-Language Models as Emotion Recognizers in Context Awareness

Yuxuan Lei, Dingkang Yang, Zhaoyu Chen +3

Context-aware emotion recognition (CAER) is a complex and significant task that requires perceiving emotions from various contextual cues. Previous approaches primarily focus on de…

cs.CV2024

Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations

Dingkang Yang, Mingcheng Li, Linhao Qu +4

Understanding human intentions (e.g., emotions) from videos has received considerable attention recently. Video streams generally constitute a blend of temporal data stemming from…

cs.CL2024★ 5 cited

PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications

Dingkang Yang, Jinjie Wei, Dongling Xiao +11

Developing intelligent pediatric consultation systems offers promising prospects for improving diagnostic efficiency, especially in China, where healthcare resources are scarce. De…

cs.CV2024

SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion

Ziyun Qian, Zeyu Xiao, Xingliang Jin +6

Motion style transfer is a significant research direction in the field of computer vision, enabling virtual digital humans to rapidly switch between different styles of the same mo…

cs.CL2024★ 3 cited

Towards Multimodal Sentiment Analysis Debiasing via Bias Purification

Dingkang Yang, Mingcheng Li, Dongling Xiao +7

Multimodal Sentiment Analysis (MSA) aims to understand human intentions by integrating emotion-related clues from diverse modalities, such as visual, language, and audio. Unfortuna…

cs.RO2024

Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped robots

Taixian Hou, Jiaxin Tu, Xiaofei Gao +3

Electric quadruped robots used in outdoor exploration are susceptible to leg-related electrical or mechanical failures. Unexpected joint power loss and joint locking can immediatel…

cs.CV2023★ 2 cited

CPR-Coach: Recognizing Composite Error Actions based on Single-class Training

Shunli Wang, Qing Yu, Shuaibing Wang +7

The fine-grained medical action analysis task has received considerable attention from pattern recognition communities recently, but it faces the problems of data and algorithm sho…

cs.CV2023★ 1 cited

AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception

Dingkang Yang, Shuai Huang, Zhi Xu +12

Driver distraction has become a significant cause of severe traffic accidents over the past decade. Despite the growing development of vision-driven driver monitoring systems, the…

cs.CV2023

Context De-confounded Emotion Recognition

Dingkang Yang, Zhaoyu Chen, Yuzheng Wang +8

Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that aims to perceive the emotional states of the target person with contextual information. Recent appro…

cs.CV2022

CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space

Shunli Wang, Shuaibing Wang, Bo Jiao +5

Reliable and stable 6D pose estimation of uncooperative space objects plays an essential role in on-orbit servicing and debris removal missions. Considering that the pose estimator…