| 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 | 714* | 2020 |
| 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 | 673 | 2023 |
| 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 | 543 | 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 | 379* | 2019 |
| 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 | 355 | 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 | 258 | 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 | 247 | 2018 |
| Deep Reinforcement Learning for Autonomous Driving S Wang, D Jia, X Weng arXiv preprint arXiv:1811.11329, 2018 | 221 | 2018 |
| Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading X Weng, K Kitani British Machine Vision Conference (BMVC), 2019 | 105 | 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 | 77 | 2021 |
| EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision J Yang, B Ivanovic, O Litany, X Weng, SW Kim, B Li, T Che, D Xu, S Fidler, ... International Conference on Learning Representations (ICLR), 2024 | 75* | 2024 |
| 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 | 72 | 2023 |
| 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 | 60 | 2020 |
| 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 | 59 | 2021 |
| All-In-One Drive: A Comprehensive Perception Dataset with High-Density Long-Range Point Clouds X Weng, Y Man, D Cheng, J Park, M O’Toole, K Kitani, J Wang, D Held arXiv preprint arXiv:1907.03961, 2020 | 57* | 2020 |
| Learning Shape Representations for Clothing Variations in Person Re-Identification YJ Li, Z Luo, X Weng, KM Kitani arXiv preprint arXiv:2003.07340, 2020 | 52 | 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 | 51 | 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 | 48 | 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 | 48* | 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 | 45 | 2020 |
Kris KitaniCarnegie Mellon University, Meta FAIR確認したメール アドレス: andrew.cmu.edu