37 citations · 42 across the 6 of their papers we have counts for
6 papers
Scaling Representation Diversity: Modulated Attention and Reconstructive Regularization for Visual Grounding
Junyi Hu, Tian Bai, Fengyi Wu +7
Referring Expression Comprehension (REC) is commonly studied under dataset-specific fine-tuning, resulting in specialist models with limited cross-dataset generalization. In this w…
FeedbackSTS-Det: Sparse Frames-Based Spatio-Temporal Semantic Feedback Network for Moving Infrared Small Target Detection
Yian Huang, Qing Qin, Aji Mao +4
Infrared small target detection (ISTD) has been a critical technology in defense and civilian applications over the past several decades, such as missile warning, maritime surveill…
Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
Yian Huang, Yang Feng, Zhiliang Ying
Representation-based multi-task learning (MTL) improves efficiency by learning a shared structure across tasks, but its practical application is often hindered by contamination, ou…
DATransNet: Dynamic Attention Transformer Network for Infrared Small Target Detection
Chen Hu, Yian Huang, Kexuan Li +5
Infrared small target detection (ISTD) is widely used in civilian and military applications. However, ISTD encounters several challenges, including the tendency for small and dim t…
SMPISD-MTPNet: Scene Semantic Prior-Assisted Infrared Ship Detection Using Multi-Task Perception Networks
Chen Hu, Xiaogang Dong, Yian Huang Lele Wang +3
Infrared ship detection (IRSD) has received increasing attention in recent years due to the robustness of infrared images to adverse weather. However, a large number of false alarm…
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection
Fengyi Wu, Tianfang Zhang, Lei Li +2
Deep learning (DL) networks have achieved remarkable performance in infrared small target detection (ISTD). However, these structures exhibit a deficiency in interpretability and a…