7 papers
Compressive sensing inspired self-supervised single-pixel imaging
Jijun Lu, Yifan Chen, Libang Chen +5
Single-pixel imaging (SPI) is a promising imaging modality with distinctive advantages in strongly perturbed environments. Existing SPI methods lack physical sparsity constraints a…
Advancing Visual Reliability: Color-Accurate Underwater Image Enhancement for Real-Time Underwater Missions
Yiqiang Zhou, Yifan Chen, Zhe Sun +3
Underwater image enhancement plays a crucial role in providing reliable visual information for underwater platforms, since strong absorption and scattering in water-related environ…
A Generative Data Framework with Authentic Supervision for Underwater Image Restoration and Enhancement
Yufeng Tian, Yifan Chen, Zhe Sun +5
Underwater image restoration and enhancement are crucial for correcting color distortion and restoring image details, thereby establishing a fundamental basis for subsequent underw…
Mitigating Long-Tail Bias in HOI Detection via Adaptive Diversity Cache
Yuqiu Jiang, Xiaozhen Qiao, Yifan Chen +3
Human-Object Interaction (HOI) detection is a fundamental task in computer vision, empowering machines to comprehend human-object relationships in diverse real-world scenarios. Rec…
Large model enhanced computational ghost imaging
Yifan Chen, Hongjun An, Zhe Sun +4
Ghost imaging (GI) achieves 2D image reconstruction through high-order correlation of 1D bucket signals and 2D light field information, particularly demonstrating enhanced detectio…
ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model
Yifan Chen, Xiaozhen Qiao, Zhe Sun +1
Contrastive Language-Image Pre-training (CLIP) models excel in integrating semantic information between images and text through contrastive learning techniques. It has achieved rem…