1 citations · 2 across the 10 of their papers we have counts for
10 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…
Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks
Xian Zhong, Shengwang Hu, Wenxuan Liu +4
Spiking neural networks (SNNs) have garnered significant attention for their low power consumption and high biological interpretability. Their rich spatio-temporal information proc…
Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning
Zhuo Zhou, Wenxuan Liu, Danni Xu +2
This paper introduces a new and challenging Hidden Intention Discovery (HID) task. Unlike existing intention recognition tasks, which are based on obvious visual representations to…
Group Activity Recognition via Dynamic Composition and Interaction
Youliang Zhang, Zhuo Zhou, Wenxuan Liu +2
Previous group activity recognition approaches were limited to reasoning using human relations or finding important subgroups and tended to ignore indispensable group composition a…
Local Facial Makeup Transfer via Disentangled Representation
Zhaoyang Sun, Wenxuan Liu, Feng Liu +2
Facial makeup transfer aims to render a non-makeup face image in an arbitrary given makeup one while preserving face identity. The most advanced method separates makeup style infor…