3 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
Seeing and Solving Are Not Enough for Vision-Language Models
Ziheng Wang, Mingxuan Xie, Yilin Liu +3
Vision-language models (VLMs) answer visual questions by combining visual information extraction with downstream problem solving. We investigate a fundamental question: Does an inc…
Embedding Rotation Invariance for Provable Multi-Oriented Scene Text Recognition
Zhibin Ma, Pengwen Dai, Yi Liu +3
Multi-oriented text is ubiquitous in real-world scenes and remains a major challenge for scene text recognition (STR). Existing rotation-aware methods explicitly estimate text orie…
Beyond Symmetric Fusion: Exploiting Task-Dependent Modality Strengths for RGB-Event Small Object Detection
Ziheng Wang, Chaolang Li, Yutong Yang +5
State-of-the-art RGB-Event detectors improve the detection of small, fast-moving objects by combining complementary features from RGB and Event data, yet they typically fuse the tw…
EagleNet: Energy-Aware Fine-Grained Relationship Learning Network for Text-Video Retrieval
Yuhan Chen, Pengwen Dai, Chuan Wang +2
Text-video retrieval tasks have seen significant improvements due to the recent development of large-scale vision-language pre-trained models. Traditional methods primarily focus o…
Arbitrarily Shaped Scene Text Detection: A Decade of Advances and Systematic Analysis
Pengwen Dai, Feiyang He, Chaolang Li +3
Scene text detection has become an important research area in computer vision. However, dynamic changes in scenes and the complex diversity of text appearances make accurate scene…