| Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors X Dong, SI Yu, X Weng, SE Wei, Y Yang, Y Sheikh IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 360-368, 2018 | 119 | 2018 |
| Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud X Weng, K Kitani IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2019 | 64 | 2019 |
| Deep Reinforcement Learning for Autonomous Driving S Wang, D Jia, X Weng arXiv preprint arXiv:1811.11329, 2018 | 53 | 2018 |
| A Baseline for 3D Multi-Object Tracking X Weng, K Kitani arXiv preprint arXiv:1907.03961, 2019 | 50 | 2019 |
| Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator N Lee, X Weng, VN Boddeti, Y Zhang, F Beainy, K Kitani, T Kanade arXiv preprint arXiv:1612.05234, 2016 | 34* | 2016 |
| 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics X Weng, J Wang, D Held, K Kitani IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 19 | 2020 |
| Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling X Weng, Y Yuan, K Kitani arXiv preprint arXiv:2003.07847, 2020 | 19 | 2020 |
| GroundNet: Monocular Ground Plane Normal Estimation with Geometric Consistency Y Man, X Weng, X Li, K Kitani ACM International Conference on Multimedia (ACM-MM), 2170-2178, 2019 | 18* | 2019 |
| Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading X Weng, K Kitani British Machine Vision Conference (BMVC), 2019 | 17* | 2019 |
| GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning X Weng, Y Wang, Y Man, KM Kitani IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6499-6508, 2020 | 16 | 2020 |
| Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision X Weng, S Wu, F Beainy, KM Kitani IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1084-1092, 2018 | 15 | 2018 |
| Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges A Manglik, X Weng, E Ohn-Bar, KM Kitani IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 12 | 2019 |
| Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges A Manglik, X Weng, E Ohn-Bar, KM Kitani arXiv preprint arXiv:1903.09102, 2019 | 10 | 2019 |
| Learning Shape Representations for Clothing Variations in Person Re-Identification YJ Li, Z Luo, X Weng, KM Kitani arXiv preprint arXiv:2003.07340, 2020 | 9 | 2020 |
| Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting X Weng, J Wang, S Levine, K Kitani, N Rhinehart Conference on Robot Learning (CoRL), 2020 | 7 | 2020 |
| When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous X Sun, X Weng, K Kitani IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 7 | 2020 |
| Joint Detection and Multi-Object Tracking with Graph Neural Networks Y Wang, X Weng, K Kitani arXiv preprint arXiv:2006.13164, 2020 | 7 | 2020 |
| GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning X Weng, Y Wang, Y Man, K Kitani arXiv preprint arXiv:2006.07327, 2020 | 7* | 2020 |
| Supervision by Registration and Triangulation for Landmark Detection X Dong, Y Yang, SE Wei, X Weng, Y Sheikh, SI Yu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 | 7* | 2020 |
| Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting X Weng, J Wang, S Levine, K Kitani, N Rhinehart arXiv preprint arXiv:2003.08376, 2020 | 7 | 2020 |
Kris KitaniCarnegie Mellon University, Robotics InstituteVerified email at cs.cmu.edu
