4 papers indexed
Wenhao Zhang, Zhongliang Zhou, John Kang, Sheng Li
Recent vision-language models (VLMs) for computational pathology report striking zero-shot performance on whole-slide image (WSI) visual question answering (VQA) benchmarks. We audit these claims and find them fundamentally compromised by data leakage at two hierarchical levels:…
Yunzhong Si, Huiying Xu, Xinzhong Zhu, Yang Liu, Yao Dong, Wenhao Zhang, et al.
Small object detection in Unmanned Aerial Vehicle (UAV) imagery remains challenging under adverse conditions, including complex weather, low illumination, and sensor noise. These challenges mainly stem from severe background clutter, fine-grained detail degradation, and suboptima…
Wenhao Zhang, Kuanwei Lin, Xuyi Yang, Wei Gao, Ge Li
Long-video reasoning is fundamentally constrained by how models acquire and utilize visual evidence. Existing tool-augmented video frameworks often interleave temporal grounding and answer reasoning within a single trajectory, causing early semantic hypotheses to bias evidence lo…
Chi Huang, Wenhao Zhang, Hang Yin, YuAn Wang, Hao Li, Bosheng Wang, et al.
Dense depth estimation for autonomous driving faces a geometry-scale conflict: depth foundation models deliver pixel-aligned dense visual geometry without reliable metric scale, while projected LiDAR provides metric anchors that are sparse, noisy, and misaligned with image struct…