11 citations · 20 across the 6 of their papers we have counts for
9 papers · 1 filter
MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation
Arghavan Rezvani, Xiangyi Yan, Anthony T. Wu +3
In this study, we propose MoME, a Mixture of Visual Language Medical Experts, for Medical Image Segmentation. MoME adapts the successful Mixture of Experts (MoE) paradigm, widely u…
CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer
Haoyu Ma, Tong Zhang, Shanlin Sun +3
Reconstructing personalized animatable head avatars has significant implications in the fields of AR/VR. Existing methods for achieving explicit face control of 3D Morphable Models…
Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction
Shanlin Sun, Thanh-Tung Le, Chenyu You +6
We present Hybrid-CSR, a geometric deep-learning model that combines explicit and implicit shape representations for cortical surface reconstruction. Specifically, Hybrid-CSR begin…
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation
Xiangyi Yan, Junayed Naushad, Chenyu You +6
Recent advancements in self-supervised learning have demonstrated that effective visual representations can be learned from unlabeled images. This has led to increased interest in…
Identity-Aware Hand Mesh Estimation and Personalization from RGB Images
Deying Kong, Linguang Zhang, Liangjian Chen +6
Reconstructing 3D hand meshes from monocular RGB images has attracted increasing amount of attention due to its enormous potential applications in the field of AR/VR. Most state-of…
PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation
Haoyu Ma, Zhe Wang, Yifei Chen +6
Recently, the vision transformer and its variants have played an increasingly important role in both monocular and multi-view human pose estimation. Considering image patches as to…