2 citations · 3 across the 11 of their papers we have counts for
13 papers
TRIM-ReID: Duplication-Aware Token Reduction and Modality-Aligned Interaction for Multi-Modal Object Re-Identification
Wanke Xia, Ruiding Zhu, Xingguo Xu +6
Multi-modal object re-identification exploits complementary RGB, near-infrared (NIR), and thermal-infrared (TIR) observations to retrieve target objects. However, existing methods…
DC-Motion: Decoupling Structure and Details via Discrete-Continuous Tokens for Human Motion Generation
Hequan Wang, Xuean Chen, Jiaxu Zhang +2
Text-to-motion generation requires modeling both global action structure and fine-grained motion dynamics from natural language. Existing approaches typically rely on either contin…
DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding
Zhengbo Zhang, Mark He Huang, Zhigang Tu +1
Zero-shot video temporal grounding (VTG) localizes events in untrimmed videos from natural language queries without task-specific training. Existing methods rely on frame-query fea…
Visual-Seeker: Towards Visual-Native Multimodal Agentic Search via Active Visual Reasoning
Zhengbo Zhang, Changtao Miao, Jinbo Su +10
Multimodal large language models (MLLMs) have demonstrated impressive capabilities in many visual tasks, but they often struggle with factual grounding when confronted with complex…
Frequency-Enhanced Diffusion Models: Curriculum-Guided Semantic Alignment for Zero-Shot Skeleton Action Recognition
Yuxi Zhou, Zhengbo Zhang, Jingyu Pan +2
Human action recognition is pivotal in computer vision, with applications ranging from surveillance to human-robot interaction. Despite the effectiveness of supervised skeleton-bas…
Masked Diffusion Vision-Language Models for Temporal Action Localization
Fengshun Wang, Zhengbo Zhang, Zhigang Tu
Temporal action localization (TAL) requires recognizing the target event and localizing its start and end times precisely in untrimmed videos. Recent vision-language formulations i…
Leveraging Text-to-Image Diffusion Models for Unsupervised Visual Object Tracking
Zhengbo Zhang, Zhigang Tu, Junsong Yuan +2
Unsupervised visual object tracking is a challenging task that requires following arbitrary targets in videos without training on ground-truth annotations. Despite considerable pro…
UAV-OVO: Out-of-Viewpoint Generalization in UAV Action Recognition
Yu Xia, Zhengbo Zhang, Shuaihu Zhang +1
UAV action recognition faces a deployment shift that standard benchmarks often obscure: a model trained on UAV footage captured from low-depression viewpoints may be required to re…
AWARE: Action-Entropy-Weighted and Attention-Guided Retrieval of Observation Evidence for Vision-Language-Action Models
Jiabing Yang, Yixiang Chen, Yuan Xu +16
Vision-Language-Action (VLA) models combine multimodal perception with robotic control, demonstrating remarkable potential for generalizable manipulation. Yet, enhancing their exec…
FADE: A Dataset for Detecting Falling Objects around Buildings in Video
Zhigang Tu, Zhengbo Zhang, Zitao Gao +3
Objects falling from buildings, a frequently occurring event in daily life, can cause severe injuries to pedestrians due to the high impact force they exert. Surveillance cameras a…
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers
Zhengbo Zhang, Li Xu, Duo Peng +2
We introduce Diff-Tracker, a novel approach for the challenging unsupervised visual tracking task leveraging the pre-trained text-to-image diffusion model. Our main idea is to leve…
Instance Temperature Knowledge Distillation
Zhengbo Zhang, Yuxi Zhou, Jia Gong +2
Knowledge distillation (KD) enhances the performance of a student network by allowing it to learn the knowledge transferred from a teacher network incrementally. Existing methods d…
Distilling Inter-Class Distance for Semantic Segmentation
Zhengbo Zhang, Chunluan Zhou, Zhigang Tu
Knowledge distillation is widely adopted in semantic segmentation to reduce the computation cost.The previous knowledge distillation methods for semantic segmentation focus on pixe…