6 citations · 6 across the 4 of their papers we have counts for
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cs.CV2024
Technique Report of CVPR 2024 PBDL Challenges
Ying Fu, Yu Li, Shaodi You +96
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to info…
cs.CV2024★ 6 cited
End-to-End Human Instance Matting
Qinglin Liu, Shengping Zhang, Quanling Meng +3
Human instance matting aims to estimate an alpha matte for each human instance in an image, which is extremely challenging and has rarely been studied so far. Despite some efforts…
cs.CV2024
Dual-Context Aggregation for Universal Image Matting
Qinglin Liu, Xiaoqian Lv, Wei Yu +2
Natural image matting aims to estimate the alpha matte of the foreground from a given image. Various approaches have been explored to address this problem, such as interactive matt…