1 citations · 1 across the 4 of their papers we have counts for
8 papers
Expanding Zero-Shot Object Counting with Rich Prompts
Huilin Zhu, Senyao Li, Jingling Yuan +5
Expanding pre-trained zero-shot counting models to handle unseen categories requires more than simply adding new prompts, as this approach does not achieve the necessary alignment…
Beyond the Horizon: Decoupling Multi-View UAV Action Recognition via Partial Order Transfer
Wenxuan Liu, Zhuo Zhou, Xuemei Jia +4
Action recognition in unmanned aerial vehicles (UAVs) poses unique challenges due to significant view variations along the vertical spatial axis. Unlike traditional ground-based se…
SU-YOLO: Spiking Neural Network for Efficient Underwater Object Detection
Chenyang Li, Wenxuan Liu, Guoqiang Gong +2
Underwater object detection is critical for oceanic research and industrial safety inspections. However, the complex optical environment and the limited resources of underwater equ…
Anomize: Better Open Vocabulary Video Anomaly Detection
Fei Li, Wenxuan Liu, Jingjing Chen +4
Open Vocabulary Video Anomaly Detection (OVVAD) seeks to detect and classify both base and novel anomalies. However, existing methods face two specific challenges related to novel…
See What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-Identification
Xiyu Han, Xian Zhong, Wenxin Huang +3
Cloth-changing person re-identification (CC-ReID) aims to match individuals across surveillance cameras despite variations in clothing. Existing methods typically mitigate the impa…
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions
Guanyu Zhou, Wenxuan Liu, Wenxin Huang +3
The lack of occlusion data in common action recognition video datasets limits model robustness and hinders consistent performance gains. We build OccludeNet, a large-scale occluded…