| EIE: Efficient Inference Engine on Compressed Deep Neural Network S Han, X Liu, H Mao, J Pu, A Pedram, MA Horowitz, WJ Dally ISCA 2016, 2016 | 3076 | 2016 |
| Ego4D: Around the World in 3,000 Hours of Egocentric Video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... CVPR 2022 (Oral), 2022 | 543 | 2022 |
| Flownet3D: Learning Scene Flow in 3D Point Clouds X Liu, CR Qi, LJ Guibas CVPR 2019, 2019 | 496 | 2019 |
| Exploring the Regularity of Sparse Structure in Convolutional Neural Networks H Mao, S Han, J Pool, W Li, X Liu, Y Wang, WJ Dally arXiv preprint arXiv:1705.08922, 2017 | 315 | 2017 |
| MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences X Liu, M Yan, J Bohg ICCV 2019 (Oral), 2019 | 222 | 2019 |
| Exploring the Granularity of Sparsity in Convolutional Neural Networks H Mao, S Han, J Pool, W Li, X Liu, Y Wang, WJ Dally CVPR 2017 workshop, 2017 | 174 | 2017 |
| Efficient Sparse-Winograd Convolutional Neural Networks X Liu, J Pool, S Han, WJ Dally ICLR 2018, 2018 | 157 | 2018 |
| KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects X Liu, R Jonschkowski, A Angelova, K Konolige CVPR 2020, 2020 | 105 | 2020 |
| RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation S Iwase, X Liu, R Khirodkar, R Yokota, KM Kitani ICCV 2021, 2021 | 81* | 2021 |
| Learning Video Representations from Correspondence Proposals X Liu, JY Lee, H Jin CVPR 2019 (Oral), 2019 | 77 | 2019 |
| Deep Compression and EIE: Efficient Inference Engine on Compressed Deep Neural Network S Han, X Liu, H Mao, J Pu, A Pedram, M Horowitz, B Dally Hot Chips 2016, 2016 | 57 | 2016 |
| StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation X Liu, S Iwase, KM Kitani ICCV 2021, 2021 | 37 | 2021 |
| FastTree: A Hardware KD-tree Construction Acceleration Engine for Real-time Ray Tracing X Liu, Y Deng, Y Ni, Z Li DATE 2015, 2015 | 26 | 2015 |
| Representation Learning using Joint Semantic Vectors X Liu, H Jin, J Lee US Patent 11,062,460, 2021 | 22 | 2021 |
| REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer X Liu, D Pathak, KM Kitani ICML 2022 (Long Oral), 2022 | 15 | 2022 |
| Sequential Voting with Relational Box Fields for Active Object Detection Q Fu, X Liu, KM Kitani CVPR 2022, 2021 | 10 | 2021 |
| Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation Q Fu, X Liu, R Xu, JC Niebles, KM Kitani ICCV 2023, 2023 | 7 | 2023 |
| HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration X Liu, D Pathak, KM Kitani CoRL 2022, 2022 | 7 | 2022 |
| KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation X Liu, S Iwase, KM Kitani IROS 2021, 2021 | 7 | 2021 |
| V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects X Liu, KM Kitani CoRL 2021, 2021 | 6 | 2021 |
