4 papers
ExpAlign: Expectation-Guided Vision-Language Alignment for Open-Vocabulary Grounding
Junyi Hu, Tian Bai, Fengyi Wu +3
Open-vocabulary grounding requires accurate vision-language alignment under weak supervision, yet existing methods either rely on global sentence embeddings that lack fine-grained…
RPCANet++: Deep Interpretable Robust PCA for Sparse Object Segmentation
Fengyi Wu, Yimian Dai, Tianfang Zhang +4
Robust principal component analysis (RPCA) decomposes an observation matrix into low-rank background and sparse object components. This capability has enabled its application in ta…
DRPCA-Net: Make Robust PCA Great Again for Infrared Small Target Detection
Zihao Xiong, Fei Zhou, Fengyi Wu +5
Infrared small target detection plays a vital role in remote sensing, industrial monitoring, and various civilian applications. Despite recent progress powered by deep learning, ma…
Neural Spatial-Temporal Tensor Representation for Infrared Small Target Detection
Fengyi Wu, Simin Liu, Haoan Wang +3
Optimization-based approaches dominate infrared small target detection as they leverage infrared imagery's intrinsic low-rankness and sparsity. While effective for single-frame ima…