237 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Beijing Institute of TechnologyCN7 papers
- Guangdong Polytechnic of Science and TechnologyCN6 papers
- University of MacauMO6 papers
- Sun Yat-sen UniversityCN5 papers
- Beijing Normal UniversityCN4 papers
- Chinese Academy of SciencesCN4 papers
- Chinese University of Hong KongHK3 papers
- Institute of High Energy PhysicsCN3 papers
- Jilin UniversityCN3 papers
- Nanyang Technological UniversitySG3 papers
- Southwest Jiaotong UniversityCN3 papers
- Tsinghua UniversityCN3 papers
5 papers · 2 filters
DepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition
Xinzhu Li, Juepeng Zheng, Yikun Chen +7
Robust gait recognition requires highly discriminative representations, which are closely tied to input modalities. While binary silhouettes and skeletons have dominated recent lit…
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge
Tobias Rueckert, David Rauber, Raphaela Maerkl +58
Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…
MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories
Yuyi Zhang, Yongxin Shi, Peirong Zhang +3
Foundational to the Chinese language and culture, Chinese characters encompass extraordinarily extensive and ever-expanding categories, with the latest Chinese GB18030-2022 standar…
DPNet: Dynamic Pooling Network for Tiny Object Detection
Luqi Gong, Haotian Chen, Yikun Chen +4
In unmanned aerial systems, especially in complex environments, accurately detecting tiny objects is crucial. Resizing images is a common strategy to improve detection accuracy, pa…
Adaptive Dual-domain Learning for Underwater Image Enhancement
Lingtao Peng, Liheng Bian
Recently, learning-based Underwater Image Enhancement (UIE) methods have demonstrated promising performance. However, existing learning-based methods still face two challenges. 1)…