| 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 | 391 | 2020 |
| AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting Y Yuan, X Weng, Y Ou, K Kitani IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 354 | 2021 |
| Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud X Weng, K Kitani IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 857-866, 2019 | 310 | 2019 |
| Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking J Cao, X Weng, R Khirodkar, J Pang, K Kitani IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 292 | 2023 |
| Joint Object Detection and Multi-Object Tracking with Graph Neural Networks Y Wang, K Kitani, X Weng IEEE International Conference on Robotics and Automation (ICRA), 13708-13715, 2021 | 278 | 2021 |
| 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 | 220 | 2020 |
| 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 | 218 | 2018 |
| Deep Reinforcement Learning for Autonomous Driving S Wang, D Jia, X Weng arXiv preprint arXiv:1811.11329, 2018 | 191 | 2018 |
| A Baseline for 3D Multi-Object Tracking X Weng, K Kitani arXiv preprint arXiv:1907.03961, 2019 | 133 | 2019 |
| AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics X Weng, J Wang, D Held, K Kitani European Conference on Computer Vision (ECCV) Workshops, 2020 | 92 | 2020 |
| Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading X Weng, K Kitani British Machine Vision Conference (BMVC), 2019 | 87 | 2019 |
| PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling X Weng, Y Yuan, K Kitani IEEE Robotics and Automation Letters 6 (3), 4640-4647, 2021 | 63 | 2021 |
| 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 | 49 | 2020 |
| Multiface: A Dataset for Neural Face Rendering C Wuu, N Zheng, S Ardisson, R Bali, D Belko, E Brockmeyer, L Evans, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023 | 42 | 2023 |
| Learning Shape Representations for Person Re-Identification under Clothing Change YJ Li, X Weng, KM Kitani IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2432-2441, 2021 | 42 | 2021 |
| Learning Shape Representations for Clothing Variations in Person Re-Identification YJ Li, Z Luo, X Weng, KM Kitani arXiv preprint arXiv:2003.07340, 2020 | 42 | 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 | 41 | 2020 |
| 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 | 40 | 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, 2018 | 40* | 2018 |
| 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 | 37 | 2020 |
Kris KitaniCarnegie Mellon University, Meta FAIRVerified email at andrew.cmu.edu
