5 papers
SPOT: Contrast-Driven Face Occlusion Segmentation via Self-Supervised Prompt Learning
Lingsong Wang, Mancheng Meng, Ziyan Wu +3
Existing face parsing methods usually misclassify occlusions as facial components. This is because occlusion is a high-level concept, it does not refer to a concrete category of ob…
Self-learning Canonical Space for Multi-view 3D Human Pose Estimation
Xiaoben Li, Mancheng Meng, Ziyan Wu +3
Multi-view 3D human pose estimation is naturally superior to single view one, benefiting from more comprehensive information provided by images of multiple views. The information i…
Automating Catheterization Labs with Real-Time Perception
Fan Yang, Benjamin Planche, Meng Zheng +3
For decades, three-dimensional C-arm Cone-Beam Computed Tomography (CBCT) imaging system has been a critical component for complex vascular and nonvascular interventional procedure…
Human Mesh Recovery from Arbitrary Multi-view Images
Xiaoben Li, Mancheng Meng, Ziyan Wu +3
Human mesh recovery from arbitrary multi-view images involves two characteristics: the arbitrary camera poses and arbitrary number of camera views. Because of the variability, desi…
Implicit Modeling of Non-rigid Objects with Cross-Category Signals
Yuchun Liu, Benjamin Planche, Meng Zheng +5
Deep implicit functions (DIFs) have emerged as a potent and articulate means of representing 3D shapes. However, methods modeling object categories or non-rigid entities have mainl…