Xinchen Yan
Xinchen Yan
Senior Research Scientist, formerly Uber ATG
Email verificata su uber.com - Home page
Titolo
Citata da
Citata da
Anno
Generative adversarial text to image synthesis
S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee
Proceedings of the 33rd International Conference on Machine Learning (ICML …, 2016
19762016
Learning Structured Output Representation using Deep Conditional Generative Models
K Sohn, X Yan, H Lee
Advances in Neural Information Processing Systems (2015), 2015
12282015
Attribute2Image: Conditional Image Generation from Visual Attributes
X Yan, J Yang, K Sohn, H Lee
The 14th European Conference on Computer Vision (2016), 2016
6192016
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
X Yan, J Yang, E Yumer, Y Guo, H Lee
Advances in Neural Information Processing Systems (2016), 1696-1704, 2016
4272016
A Unified Framework for Automatic Wound Segmentation and Analysis with Deep Convolutional Neural Networks
C Wang, X Yan, M Smith, K Kochhar, M Rubin, S M. Warren, J Wrobel, ...
37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015
782015
Deep Variational Canonical Correlation Analysis
W Wang, X Yan, H Lee, K Livescu
722016
Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representation
X Yan, J Hsu, M Khansari, Y Bai, A Pathak, A Gupta, J Davidson, H Lee
International Conference on Robotics and Automation (2018), 2018
502018
SemanticAdv: Generating adversarial examples via attribute-conditional image editing
H Qiu, C Xiao, L Yang, X Yan, H Lee, B Li
ECCV 2020, 2020
432020
Learning Hierarchical Semantic Image Manipulation through Structured Representations
S Hong, X Yan, T Huang, H Lee
Advances in Neural Information Processing Systems (2018), 2018
432018
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
X Yan, A Rastogi, R Villegas, K Sunkavalli, E Shechtman, S Hadap, ...
The 15th European Conference on Computer Vision (2018), 2018
412018
Data-efficient learning for sim-to-real robotic grasping using deep point cloud prediction networks
X Yan, M Khansari, J Hsu, Y Gong, Y Bai, S Pirk, H Lee
arXiv preprint arXiv:1906.08989, 2019
102019
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
K Mo, H Wang, X Yan, L Guibas
ECCV 2020, 2020
72020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
K Lee, Z Chen, X Yan, R Urtasun, E Yumer
22020
Efficient Online Spatio-Temporal Filtering for Video Event Detection
X Yan, J Yuan, H Liang, L Zhang
European Conf. on Computer Vision Workshop (ECCVW’14) on Video Event …, 2014
22014
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
J Tu, H Li, X Yan, M Ren, Y Chen, M Liang, E Bitar, E Yumer, R Urtasun
arXiv preprint arXiv:2101.06784, 2021
12021
Robotic grasping prediction using neural networks and geometry aware object representation
J Davidson, X Yan, Y Bai, LEE Honglak, A Gupta, SMK Zadeh, A Pathak, ...
US Patent 10,864,631, 2020
12020
Learning Deep Controllable and Structured Representations for Image Synthesis, Structure Prediction and Beyond
X Yan
12019
Robotic manipulation using domain-invariant 3d representations predicted from 2.5 d vision data
LEE Honglak, X Yan, S Pirk, Y Bai, SMK Zadeh, Y Gong, J Hsu
US Patent App. 17/053,335, 2021
2021
Robotic grasping prediction using neural networks and geometry aware object representation
J Davidson, X Yan, Y Bai, LEE Honglak, A Gupta, SMK Zadeh, A Pathak, ...
US Patent App. 17/094,111, 2021
2021
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving
Y Chen, F Rong, S Duggal, S Wang, X Yan, S Manivasagam, S Xue, ...
arXiv preprint arXiv:2101.06543, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20