Andy Zeng
Andy Zeng
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Semantic Scene Completion from a Single Depth Image
S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
4682017
Matterport3D: Learning from RGB-D Data in Indoor Environments
A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ...
IEEE International Conference on 3D Vision (3DV), 2017
2942017
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
A Zeng, S Song, M Nie▀ner, M Fisher, J Xiao, T Funkhouser
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
264*2017
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
A Zeng, KT Yu, S Song, D Suo, E Walker, A Rodriguez, J Xiao
IEEE International Conference on Robotics and Automation (ICRA), 2017
220*2017
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
A Zeng, S Song, KT Yu, E Donlon, FR Hogan, M Bauza, D Ma, O Taylor, ...
The International Journal of Robotics Research (IJRR), 2018
1592018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning
A Zeng, S Song, S Welker, J Lee, A Rodriguez, T Funkhouser
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
972018
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics
A Zeng, S Song, J Lee, A Rodriguez, T Funkhouser
Robotics: Science and Systems (RSS), 2019
482019
Im2Pano3D: Extrapolating 360░ Structure and Semantics Beyond the Field of View
S Song, A Zeng, AX Chang, M Savva, S Savarese, T Funkhouser
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
232018
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
Z Xu, J Wu, A Zeng, JB Tenenbaum, S Song
Robotics: Science and Systems (RSS), 2019
152019
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation
SS Sajjan, M Moore, M Pan, G Nagaraja, J Lee, A Zeng, S Song
IEEE International Conference on Robotics and Automation (ICRA), 2020
72020
Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly
K Zakka, A Zeng, J Lee, S Song
IEEE International Conference on Robotics and Automation (ICRA), 2020
62020
Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations
S Song, A Zeng, J Lee, TA Funkhouser
IEEE Robotics and Automation Letters, 2020
22020
Learning to See before Learning to Act: Visual Pre-training for Manipulation
L Yen-Chen, A Zeng, S Song, P Isola, TY Lin
IEEE International Conference on Robotics and Automation (ICRA), 2020
22020
What are the Important Technologies for Bin Picking? Technology Analysis of Robots in Competitions Based on a Set of Performance Metrics
M Fujita, Y Domae, A Noda, GA Garcia Ricardez, T Nagatani, A Zeng, ...
Advanced Robotics, 1-15, 2019
22019
Learning Visual Affordances for Robotic Manipulation
A Zeng
Princeton University, 2019
22019
Spatial Action Maps for Mobile Manipulation
J Wu, X Sun, A Zeng, S Song, J Lee, S Rusinkiewicz, T Funkhouser
Robotics: Science and Systems (RSS), 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–16