74 citations · 404 across the 46 of their papers we have counts for
47 papers
MTNet: Learning modality-aware representation with transformer for RGBT tracking
Ruichao Hou, Boyue Xu, Tongwei Ren +1
The ability to learn robust multi-modality representation has played a critical role in the development of RGBT tracking. However, the regular fusion paradigm and the invariable tr…
Spatial-Temporal Human-Object Interaction Detection
Xu Sun, Yunqing He, Tongwei Ren +1
In this paper, we propose a new instance-level human-object interaction detection task on videos called ST-HOID, which aims to distinguish fine-grained human-object interactions (H…
DPL: Decoupled Prompt Learning for Vision-Language Models
Chen Xu, Yuhan Zhu, Guozhen Zhang +5
Prompt learning has emerged as an efficient and effective approach for transferring foundational Vision-Language Models (e.g., CLIP) to downstream tasks. However, current methods t…
Robust Object Modeling for Visual Tracking
Yidong Cai, Jie Liu, Jie Tang +1
Object modeling has become a core part of recent tracking frameworks. Current popular tackers use Transformer attention to extract the template feature separately or interactively…
Lightweight Super-Resolution Head for Human Pose Estimation
Haonan Wang, Jie Liu, Jie Tang +1
Heatmap-based methods have become the mainstream method for pose estimation due to their superior performance. However, heatmap-based approaches suffer from significant quantizatio…
MaxSR: Image Super-Resolution Using Improved MaxViT
Bincheng Yang, Gangshan Wu
While transformer models have been demonstrated to be effective for natural language processing tasks and high-level vision tasks, only a few attempts have been made to use powerfu…