3 papers indexed
Haida Feng, Hao Wei, Haolin Wang, Shiwei Li, Chade Li, Yihong Wu
Recent Multimodal Large Language Models (MLLMs) struggle to bridge the representational gap between 2D semantic understanding and 3D spatial geometry. Existing 3D-aware models either rely on costly 3D-specific data or utilize RGB-only inputs with heuristic sampling and monolithic…
Hao Wei, Wenjin Qi, Dasen Dai, Minqing Zhang, Wu Yuan
While Large Vision-Language Models (VLMs) demonstrate remarkable generic capabilities, their clinical reasoning in specialized domains like ocular surface diseases (OSDs) is severely hindered by a paucity of high-fidelity, multimodal instruction-tuning data. To dismantle this dat…
Yueteng Yang, Yusen Xie, Hao Wei, Qianhao Wang, Boyu Zhou, Fei Gao, et al.
Multi-camera visual-inertial odometry (VIO) overcomes the inherent limitations of pure visual systems by expanding the field of view. However, existing algorithms are typically tailored for fixed camera setups and lack unified compatibility with heterogeneous multi-camera systems…