2 citations · 7 across the 15 of their papers we have counts for
17 papers
Identity-Aware Human-Object Interaction Motion Captioning
Yiming Wang, Yonghao Dang, Huilai Li +2
Existing human-object interaction (HOI) motion captioning methods typically describe what happens while referring to the subject using generic terms such as "a person" or "someone"…
ResDiT: Evoking the Intrinsic Resolution Scalability in Diffusion Transformers
Yiyang Ma, Feng Zhou, Xuedan Yin +3
Leveraging pre-trained Diffusion Transformers (DiTs) for high-resolution (HR) image synthesis often leads to spatial layout collapse and degraded texture fidelity. Prior work mitig…
MaskSem: Semantic-Guided Masking for Learning 3D Hybrid High-Order Motion Representation
Wei Wei, Shaojie Zhang, Yonghao Dang +1
Human action recognition is a crucial task for intelligent robotics, particularly within the context of human-robot collaboration research. In self-supervised skeleton-based action…
Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs
Shaojie Zhang, Jiahui Yang, Jianqin Yin +2
Multimodal Large Language Models (MLLMs) have demonstrated significant success in visual understanding tasks. However, challenges persist in adapting these models for video compreh…
3DGAA: Realistic and Robust 3D Gaussian-based Adversarial Attack for Autonomous Driving
Yixun Zhang, Lizhi Wang, Junjun Zhao +4
Camera-based perception in connected and autonomous vehicles remains exposed to physical adversarial attacks. Prior attacks often either optimize image-plane textures, weakening cr…
ESG-Net: Event-Aware Semantic Guided Network for Dense Audio-Visual Event Localization
Huilai Li, Yonghao Dang, Ying Xing +2
Dense audio-visual event localization (DAVE) aims to identify event categories and locate the temporal boundaries in untrimmed videos. Most studies only employ event-related semant…
GaussianCAD: Robust Self-Supervised CAD Reconstruction from Three Orthographic Views Using 3D Gaussian Splatting
Zheng Zhou, Zhe Li, Bo Yu +8
The automatic reconstruction of 3D computer-aided design (CAD) models from CAD sketches has recently gained significant attention in the computer vision community. Most existing me…
MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection
Yonghao Dang, Liyuan Liu, Hui Kang +2
Real-time 2D keypoint detection plays an essential role in computer vision. Although CNN-based and Transformer-based methods have achieved breakthrough progress, they often fail to…
MTDA-HSED: Mutual-Assistance Tuning and Dual-Branch Aggregating for Heterogeneous Sound Event Detection
Zehao Wang, Haobo Yue, Zhicheng Zhang +3
Sound Event Detection (SED) plays a vital role in comprehending and perceiving acoustic scenes. Previous methods have demonstrated impressive capabilities. However, they are defici…
SELD-Mamba: Selective State-Space Model for Sound Event Localization and Detection with Source Distance Estimation
Da Mu, Zhicheng Zhang, Haobo Yue +3
In the Sound Event Localization and Detection (SELD) task, Transformer-based models have demonstrated impressive capabilities. However, the quadratic complexity of the Transformer'…
Micro-expression recognition based on depth map to point cloud
Ren Zhang, Jianqin Yin, Chao Qi +3
Micro-expressions are nonverbal facial expressions that reveal the covert emotions of individuals, making the micro-expression recognition task receive widespread attention. Howeve…
DHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose Estimation
Yonghao Dang, Jianqin Yin, Liyuan Liu +3
Multi-person pose estimation (MPPE) presents a formidable yet crucial challenge in computer vision. Most existing methods predominantly concentrate on isolated interaction either b…
Full-frequency dynamic convolution: a physical frequency-dependent convolution for sound event detection
Haobo Yue, Zhicheng Zhang, Da Mu +3
Recently, 2D convolution has been found unqualified in sound event detection (SED). It enforces translation equivariance on sound events along frequency axis, which is not a shift-…
A Two-stream Hybrid CNN-Transformer Network for Skeleton-based Human Interaction Recognition
Ruoqi Yin, Jianqin Yin
Human Interaction Recognition is the process of identifying interactive actions between multiple participants in a specific situation. The aim is to recognise the action interactio…
A Generically Contrastive Spatiotemporal Representation Enhancement for 3D Skeleton Action Recognition
Shaojie Zhang, Jianqin Yin, Yonghao Dang
Skeleton-based action recognition is a central task in computer vision and human-robot interaction. However, most previous methods suffer from overlooking the explicit exploitation…
BiHRNet: A Binary high-resolution network for Human Pose Estimation
Zhicheng Zhang, Xueyao Sun, Yonghao Dang +1
Human Pose Estimation (HPE) plays a crucial role in computer vision applications. However, it is difficult to deploy state-of-the-art models on resouce-limited devices due to the h…
Physics-constrained Attack against Convolution-based Human Motion Prediction
Chengxu Duan, Zhicheng Zhang, Xiaoli Liu +2
Human motion prediction has achieved a brilliant performance with the help of convolution-based neural networks. However, currently, there is no work evaluating the potential risk…