2 citations · 2 across the 4 of their papers we have counts for
4 papers
Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completion
Shenglun Chen, Xinzhu Ma, Hong Zhang +2
Depth completion is a pivotal challenge in computer vision, aiming at reconstructing the dense depth map from a sparse one, typically with a paired RGB image. Existing learning bas…
Is a Pure Transformer Effective for Separated and Online Multi-Object Tracking?
Chongwei Liu, Haojie Li, Zhihui Wang +1
Recent advances in Multi-Object Tracking (MOT) have demonstrated significant success in short-term association within the separated tracking-by-detection online paradigm. However,…
Learning Pixel-wise Continuous Depth Representation via Clustering for Depth Completion
Chen Shenglun, Zhang Hong, Ma XinZhu +2
Depth completion is a long-standing challenge in computer vision, where classification-based methods have made tremendous progress in recent years. However, most existing classific…
Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation
Jian Shi, Baoli Sun, Xinchen Ye +5
Segmenting dental plaque from images of medical reagent staining provides valuable information for diagnosis and the determination of follow-up treatment plan. However, accurate de…