most citedHybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes

Shanlin Sun, Bingbing Zhuang, Ziyu Jiang +3

Photorealistic simulation plays a crucial role in applications such as autonomous driving, where advances in neural radiance fields (NeRFs) may allow better scalability through the…

cs.CV2024

Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning

Tung Le, Khai Nguyen, Shanlin Sun +2

In the realm of computer vision and graphics, accurately establishing correspondences between geometric 3D shapes is pivotal for applications like object tracking, registration, te…

cs.CV2023

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…

cs.CV20231 cited

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…

cs.CV2023

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…