| 2024 | IROS | Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds. | Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang |
| 2023 | CVPR | PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds. | Jinyu Li, Chenxu Luo, Xiaodong Yang |
| 2023 | ICCV | DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation. | Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, Xiaodong Yang |
| 2021 | CVPR | Self-Supervised Pillar Motion Learning for Autonomous Driving. | Chenxu Luo, Xiaodong Yang, Alan L. Yuille |
| 2021 | ICCV | Exploring Simple 3D Multi-Object Tracking for Autonomous Driving. | Chenxu Luo, Xiaodong Yang, Alan L. Yuille |
| 2020 | IROS | Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles. | Chenxu Luo, Lin Sun, Dariush Dabiri, Alan L. Yuille |
| 2019 | CVPR | UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos. | Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, Wei Xu |
| 2019 | ICCV | Grouped Spatial-Temporal Aggregation for Efficient Action Recognition. | Chenxu Luo, Alan L. Yuille |
| 2018 | BMVC | OriNet: A Fully Convolutional Network for 3D Human Pose Estimation. | Chenxu Luo, Xiao Chu, Alan L. Yuille |
| 2017 | AAAI | Learning Discriminative Activated Simplices for Action Recognition. | Chenxu Luo, Chang Ma, Chunyu Wang, Yizhou Wang |