activity
20142026
most citedUnsupervised Learning of Visual Representations using Videos

195 citations · 1.4k across the 56 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

cs.CV2023★ 2 cited

3D Reconstruction with Generalizable Neural Fields using Scene Priors

Yang Fu, Shalini De Mello, Xueting Li +4

High-fidelity 3D scene reconstruction has been substantially advanced by recent progress in neural fields. However, most existing methods train a separate network from scratch for…

eess.SY2023★ 1 cited

Trajectory Generation and Tracking based on Energy Minimization for a Four-Link Brachiation Robot

Zishang Ji, Xuanyu Zhang, Xuanzhe Wang +1

Aiming to mimic the brachiation locomotion of primates, we establish a brachiation robot model capable of swinging between different bars. The robot's design is based on a four-lin…

cs.RO2023★ 11 cited

GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields

Yanjie Ze, Ge Yan, Yueh-Hua Wu +6

It is a long-standing problem in robotics to develop agents capable of executing diverse manipulation tasks from visual observations in unstructured real-world environments. To ach…

cs.GT2023

A Generic Multi-Player Transformation Algorithm for Solving Large-Scale Zero-Sum Extensive-Form Adversarial Team Games

Chen Qiu, Yulin Wu, Weixin Huang +3

Many recent practical and theoretical breakthroughs focus on adversarial team multi-player games (ATMGs) in ex ante correlation scenarios. In this setting, team members are allowed…

cs.CV2023★ 1 cited

Zero-shot Pose Transfer for Unrigged Stylized 3D Characters

Jiashun Wang, Xueting Li, Sifei Liu +4

Transferring the pose of a reference avatar to stylized 3D characters of various shapes is a fundamental task in computer graphics. Existing methods either require the stylized cha…

cs.CV2023★ 2 cited

TUVF: Learning Generalizable Texture UV Radiance Fields

An-Chieh Cheng, Xueting Li, Sifei Liu +1

Textures are a vital aspect of creating visually appealing and realistic 3D models. In this paper, we study the problem of generating high-fidelity texture given shapes of 3D asset…