activity
20192024
most citedTransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation

36 citations · 167 across the 25 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers

Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu +5

Recent advances in generative AI have significantly enhanced image and video editing, particularly in the context of text prompt control. State-of-the-art approaches predominantly…

cs.CV2023★ 1 cited

Instance Tracking in 3D Scenes from Egocentric Videos

Yunhan Zhao, Haoyu Ma, Shu Kong +1

Egocentric sensors such as AR/VR devices capture human-object interactions and offer the potential to provide task-assistance by recalling 3D locations of objects of interest in th…

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.CV2023★ 2 cited

Light Field Diffusion for Single-View Novel View Synthesis

Yifeng Xiong, Haoyu Ma, Shanlin Sun +3

Single-view novel view synthesis (NVS), the task of generating images from new viewpoints based on a single reference image, is important but challenging in computer vision. Recent…

cs.CV2023★ 1 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…