activity
20232026
most citedCompressing Vision Transformers for Low-Resource Visual Learning

3 citations · 4 across the 5 of their papers we have counts for

collaborators

7 papers

cs.AI2026

From Surfaces to Volumes: Registered Geometry for Protein Representation Learning

Siyuan Chen, Cai Zhou, Jinrui Zhang +8

Existing protein geometry models typically represent molecular surfaces using local geometric features such as sampled points, normals, and curvature. While effective for capturing…

cs.RO2025

DexCanvas: Bridging Human Demonstrations and Robot Learning for Dexterous Manipulation

Xinyue Xu, Jieqiang Sun, Jing +9

We present DexCanvas, a large-scale hybrid real-synthetic human manipulation dataset containing 7,000 hours of dexterous hand-object interactions seeded from 70 hours of real human…

q-bio.BM2025

Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection

Siyuan Chen, Minghao Guo, Caoliwen Wang +6

Biomolecular interaction modeling has been substantially advanced by foundation models, yet they often produce all-atom structures that violate basic steric feasibility. We address…

cs.GR2025

Fast Subspace Fluid Simulation with a Temporally-Aware Basis

Siyuan Chen, Yixin Chen, Jonathan Panuelos +4

We present a novel reduced-order fluid simulation technique leveraging Dynamic Mode Decomposition (DMD) to achieve fast, memory-efficient, and user-controllable subspace simulation…

cs.CV2024

SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians

Yiwen Wang, Siyuan Chen, Ran Yi

3D Gaussian Splatting is emerging as a state-of-the-art technique in novel view synthesis, recognized for its impressive balance between visual quality, speed, and rendering effici…

cs.CV2023★ 1 cited

Plasticine3D: 3D Non-Rigid Editing with Text Guidance by Multi-View Embedding Optimization

Yige Chen, Teng Hu, Yizhe Tang +3

With the help of Score Distillation Sampling (SDS) and the rapid development of neural 3D representations, some methods have been proposed to perform 3D editing such as adding addi…

cs.CV2023★ 3 cited

Compressing Vision Transformers for Low-Resource Visual Learning

Eric Youn, Sai Mitheran J, Sanjana Prabhu +1

Vision transformer (ViT) and its variants have swept through visual learning leaderboards and offer state-of-the-art accuracy in tasks such as image classification, object detectio…