activity
20202022
most citedDeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces

4 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20222 cited

Ditto: Building Digital Twins of Articulated Objects from Interaction

Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu

Digitizing physical objects into the virtual world has the potential to unlock new research and applications in embodied AI and mixed reality. This work focuses on recreating inter…

cs.RO2021

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik +2

Grasp detection in clutter requires the robot to reason about the 3D scene from incomplete and noisy perception. In this work, we draw insight that 3D reconstruction and grasp lear…

cs.GR20204 cited

DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces

Minhyuk Sung, Zhenyu Jiang, Panos Achlioptas +2

Shape deformation is an important component in any geometry processing toolbox. The goal is to enable intuitive deformations of single or multiple shapes or to transfer example def…

cs.CV2020

Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020

Haisheng Su, Jinyuan Feng, Hao Shao +6

This technical report presents an overview of our solution used in the submission to ActivityNet Challenge 2020 Task 1 (\textbf{temporal action localization/detection}). Temporal a…

cs.CV2020

Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation

Cheng Ma, Zhenyu Jiang, Yongming Rao +2

Recent works based on deep learning and facial priors have succeeded in super-resolving severely degraded facial images. However, the prior knowledge is not fully exploited in exis…