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Xinchen Yan
Xinchen Yan
Senior Research Scientist, Waymo
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
28622016
Learning Structured Output Representation using Deep Conditional Generative Models
K Sohn, X Yan, H Lee
Advances in Neural Information Processing Systems (2015), 2015
22322015
Attribute2Image: Conditional Image Generation from Visual Attributes
X Yan, J Yang, K Sohn, H Lee
The 14th European Conference on Computer Vision (2016), 2016
7472016
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
5432016
Deep Variational Canonical Correlation Analysis
W Wang, X Yan, H Lee, K Livescu
1172016
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
1122015
SemanticAdv: Generating adversarial examples via attribute-conditional image editing
H Qiu, C Xiao, L Yang, X Yan, H Lee, B Li
The 16th European Conference on Computer Vision (2020), 2020
992020
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
972018
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
872018
Learning Hierarchical Semantic Image Manipulation through Structured Representations
S Hong, X Yan, T Huang, H Lee
Advances in Neural Information Processing Systems (2018), 2018
732018
Block-NeRF: Scalable Large Scene Neural View Synthesis
M Tancik, V Casser, X Yan, S Pradhan, B Mildenhall, PP Srinivasan, ...
CVPR 2022, 2022
552022
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, ...
CVPR 2021, 2021
322021
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling
Z Yang, S Wang, S Manivasagam, Z Huang, WC Ma, X Yan, E Yumer, ...
CVPR 2021, 2021
302021
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
K Mo, H Wang, X Yan, L Guibas
The 16th European Conference on Computer Vision (2020), 2020
282020
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
CoRL 2021, 2021
222021
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
212019
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
K Lee, Z Chen, X Yan, R Urtasun, E Yumer
152020
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
112021
Waymo open dataset: Panoramic video panoptic segmentation
J Mei, AZ Zhu, X Yan, H Yan, S Qiao, Y Zhu, LC Chen, H Kretzschmar, ...
ECCV 2022, 2022
32022
Photorealistic Image Simulation with Geometry-Aware Composition
F Rong, Y Chen, S Duggal, S Wang, X Yan, S Manivasagam, E Yumer, ...
US Patent App. 17/150,989, 2021
22021
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Articles 1–20