45 citations · 95 across the 7 of their papers we have counts for
7 papers
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
Yizhen Luo, Jiahuan Zhang, Siqi Fan +4
Foundation models (FMs) have exhibited remarkable performance across a wide range of downstream tasks in many domains. Nevertheless, general-purpose FMs often face challenges when…
QUEST: Query Stream for Practical Cooperative Perception
Siqi Fan, Haibao Yu, Wenxian Yang +2
Cooperative perception can effectively enhance individual perception performance by providing additional viewpoint and expanding the sensing field. Existing cooperation paradigms a…
Calibration-free BEV Representation for Infrastructure Perception
Siqi Fan, Zhe Wang, Xiaoliang Huo +2
Effective BEV object detection on infrastructure can greatly improve traffic scenes understanding and vehicle-toinfrastructure (V2I) cooperative perception. However, cameras instal…
VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection
Zhe Wang, Siqi Fan, Xiaoliang Huo +5
In autonomous driving, Vehicle-Infrastructure Cooperative 3D Object Detection (VIC3D) makes use of multi-view cameras from both vehicles and traffic infrastructure, providing a glo…
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation
Siqi Fan, Zhe Wang, Yan Wang +1
For semantic segmentation in urban scene understanding, RGB cameras alone often fail to capture a clear holistic topology in challenging lighting conditions. Thermal signal is an i…
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
Siqi Fan, Fenghua Zhu, Zunlei Feng +3
Pseudo supervision is regarded as the core idea in semi-supervised learning for semantic segmentation, and there is always a tradeoff between utilizing only the high-quality pseudo…
E^2TAD: An Energy-Efficient Tracking-based Action Detector
Xin Hu, Zhenyu Wu, Hao-Yu Miao +8
Video action detection (spatio-temporal action localization) is usually the starting point for human-centric intelligent analysis of videos nowadays. It has high practical impacts…