21 citations · 43 across the 16 of their papers we have counts for
5 papers · 1 filter
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
Jialu Zhang, Xiaoying Yang, Wentao He +6
Object detection in aerial imagery presents a significant challenge due to large scale variations among objects. This paper proposes an evolutionary reinforcement learning agent, i…
Multi-View Spectrogram Transformer for Respiratory Sound Classification
Wentao He, Yuchen Yan, Jianfeng Ren +2
Deep neural networks have been applied to audio spectrograms for respiratory sound classification. Existing models often treat the spectrogram as a synthetic image while overlookin…
Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals
Chenglin Yao, Jianfeng Ren, Ruibin Bai +3
Detecting 3D mask attacks to a face recognition system is challenging. Although genuine faces and 3D face masks show significantly different remote photoplethysmography (rPPG) sign…
Video Question Answering Using CLIP-Guided Visual-Text Attention
Shuhong Ye, Weikai Kong, Chenglin Yao +2
Cross-modal learning of video and text plays a key role in Video Question Answering (VideoQA). In this paper, we propose a visual-text attention mechanism to utilize the Contrastiv…
Confidence-based Event-centric Online Video Question Answering on a Newly Constructed ATBS Dataset
Weikai Kong, Shuhong Ye, Chenglin Yao +1
Deep neural networks facilitate video question answering (VideoQA), but the real-world applications on video streams such as CCTV and live cast place higher demands on the solver.…