15 citations · 36 across the 10 of their papers we have counts for
10 papers
Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions
Zhenyu Jiang, Yuqi Xie, Jinhan Li +3
Humanoid robots, with their human-like embodiment, have the potential to integrate seamlessly into human environments. Critical to their coexistence and cooperation with humans is…
Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception
Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu
Virtualizing the physical world into virtual models has been a critical technique for robot navigation and planning in the real world. To foster manipulation with articulated objec…
Few-View Object Reconstruction with Unknown Categories and Camera Poses
Hanwen Jiang, Zhenyu Jiang, Kristen Grauman +1
While object reconstruction has made great strides in recent years, current methods typically require densely captured images and/or known camera poses, and generalize poorly to no…
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Bokui Shen, Zhenyu Jiang, Christopher Choy +4
Manipulating volumetric deformable objects in the real world, like plush toys and pizza dough, bring substantial challenges due to infinite shape variations, non-rigid motions, and…
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…
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning
Yansong Tang, Zhenyu Jiang, Zhenda Xie +4
Previous cycle-consistency correspondence learning methods usually leverage image patches for training. In this paper, we present a fully convolutional method, which is simpler and…
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…
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…
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…
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…