| 2026 | WACV | SCATR: Mitigating New Instance Suppression in LiDAR-based Tracking-by-Attention via Second Chance Assignment and Track Query Dropout. | Brian Cheong, Letian Wang, Sandro Papais, Steven L. Waslander |
| 2026 | WACV | FlowCLAS: Enhancing Normalizing Flow-Based Anomaly Segmentation Via Contrastive Learning. | Chang Won Lee, Selina Leveugle, Paul Grouchy, Chris Langley, Svetlana Stolpner, Jonathan Kelly, Steven L. Waslander |
| 2025 | CVPR | Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection. | Marc-Antoine Lavoie, Anas Mahmoud, Steven L. Waslander |
| 2025 | CVPR | PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds. | Barza Nisar, Steven L. Waslander |
| 2025 | ICCV | ForeSight: Multi-View Streaming Joint Object Detection and Trajectory Forecasting. | Sandro Papais, Letian Wang, Brian Cheong, Steven L. Waslander |
| 2025 | ICLR | SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction. | Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu |
| 2025 | IROS | OpenNav: Open-World Navigation with Multimodal Large Language Models. | Mingfeng Yuan, Letian Wang, Steven L. Waslander |
| 2024 | CoRL | Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors. | Ziwei Liao, Binbin Xu, Steven L. Waslander |
| 2024 | CVPR | Multiple View Geometry Transformers for 3D Human Pose Estimation. | Ziwei Liao, Jialiang Zhu, Chunyu Wang, Han Hu, Steven L. Waslander |
| 2024 | CVPR | LMDrive: Closed-Loop End-to-End Driving with Large Language Models. | Hao Shao, Yuxuan Hu, Letian Wang, Guanglu Song, Steven L. Waslander, Yu Liu, Hongsheng Li |
| 2024 | CVPR | SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. | Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu |
| 2024 | ECCV | Image-to-Lidar Relational Distillation for Autonomous Driving Data. | Anas Mahmoud, Ali Harakeh, Steven L. Waslander |
| 2024 | ICRA | UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking. | Chang Won Lee, Steven L. Waslander |
| 2024 | ICRA | Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors. | Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven L. Waslander |
| 2024 | ICRA | SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking. | Sandro Papais, Robert Ren, Steven L. Waslander |
| 2024 | IROS | Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera. | Jun Yang, Jian Yao, Steven L. Waslander |
| 2024 | WACV | Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. | Ziwei Liao, Steven L. Waslander |
| 2023 | AAAI | Estimating Regression Predictive Distributions with Sample Networks. | Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull |
| 2023 | CVPR | Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. | Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander |
| 2023 | CVPR | ReasonNet: End-to-End Driving with Temporal and Global Reasoning. | Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu |
| 2023 | ICRA | 6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. | Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander |
| 2023 | WACV | Dense Voxel Fusion for 3D Object Detection. | Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander |
| 2022 | CVPR | Point Density-Aware Voxels for LiDAR 3D Object Detection. | Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander |
| 2022 | ICRA | Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. | Jun Yang, Steven L. Waslander |
| 2021 | CVPR | Categorical Depth Distribution Network for Monocular 3D Object Detection. | Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander |
| 2021 | ICLR | Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. | Ali Harakeh, Steven L. Waslander |
| 2021 | IROS | ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. | Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander |
| 2020 | ICRA | BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. | Ali Harakeh, Michael Smart, Steven L. Waslander |
| 2020 | ICRA | Object-Centric Stereo Matching for 3D Object Detection. | Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander |
| 2020 | ICRA | AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM. | Jason Rebello, Angus Fung, Steven L. Waslander |
| 2020 | IROS | Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. | Chengyao Li, Jason Ku, Steven L. Waslander |
| 2019 | CVPR | Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. | Jason Ku, Alex D. Pon, Steven L. Waslander |
| 2019 | IROS | Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. | Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander |
| 2018 | ICRA | Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters. | Christopher L. Choi, Jason Rebello, Leonid Koppel, Pranav Ganti, Arun Das, Steven L. Waslander |
| 2018 | IROS | Joint 3D Proposal Generation and Object Detection from View Aggregation. | Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven L. Waslander |
| 2007 | ACC | Convergence of Lump-Sum Markets with Price-Anticipating Agents. | Steven L. Waslander, Claire J. Tomlin |