| 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 | 2623 | 2016 |
| Learning Structured Output Representation using Deep Conditional Generative Models K Sohn, X Yan, H Lee Advances in Neural Information Processing Systems (2015), 2015 | 1945 | 2015 |
| Attribute2Image: Conditional Image Generation from Visual Attributes X Yan, J Yang, K Sohn, H Lee The 14th European Conference on Computer Vision (2016), 2016 | 715 | 2016 |
| 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 | 514 | 2016 |
| Deep Variational Canonical Correlation Analysis W Wang, X Yan, H Lee, K Livescu | 111 | 2016 |
| 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 | 106 | 2015 |
| 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 | 80 | 2018 |
| 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 | 79 | 2020 |
| 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 | 73 | 2018 |
| Learning Hierarchical Semantic Image Manipulation through Structured Representations S Hong, X Yan, T Huang, H Lee Advances in Neural Information Processing Systems (2018), 2018 | 67 | 2018 |
| 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 | 24 | 2020 |
| 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 | 20 | 2021 |
| 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 | 19 | 2019 |
| 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 | 18* | 2021 |
| 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 | 14 | 2021 |
| ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds K Lee, Z Chen, X Yan, R Urtasun, E Yumer | 10 | 2020 |
| 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 | 6 | 2021 |
| Block-NeRF: Scalable Large Scene Neural View Synthesis M Tancik, V Casser, X Yan, S Pradhan, B Mildenhall, PP Srinivasan, ... CVPR 2022, 2022 | 5 | 2022 |
| Safety-oriented pedestrian occupancy forecasting K Luo, S Casas, R Liao, X Yan, Y Xiong, W Zeng, R Urtasun 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 2 | 2021 |
| 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 | 2 | 2021 |
Honglak LeeLG AI Research / U. MichiganVerified email at umich.edu
