2024
- CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model (ECCV2024) 11/01
- Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection (ECCV2024) 10/27
- On-the-fly Category Discovery for LiDAR Semantic Segmentation (ECCV2024) 10/27
- Towards Stable 3D Object Detection (ECCV2024) 10/27
- UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction (ECCV2024) 10/27
- 3D Small Object Detection with Dynamic Spatial Pruning (ECCV2024) 08/12
- Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments (arxiv 2024/03, ECCV2024) 08/12
- Injecting Planning-Awareness into Prediction and Detection Evaluation (IV2022) 08/12
- Soft Robotics Commercialization: Jamming Grippers from Research to Product (Soft robotics 2016) 08/12
- Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance (ECCV2024) 08/12
- What data do we need for training an AV motion planner? (ICRA2021) 08/12
- Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data (arxiv 2024/01) 08/11
- MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection (ICLR2024) 08/11
- OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples (IEEE Transaction on visualization and computer graphics 2024/01) 08/11
- FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation (arxiv2023/12) 08/10
- SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving (arxiv2024/02, RA-L 2024) 08/04
- A Survey on Autonomous Driving Datasets: Data Statistic, Annotation, and Outlook (arxiv2024/01) 08/02
2022
- MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception (arxiv2022/11) 12/20
- DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars (IROS2022) 12/19
- aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception (arxiv 2022/11) 12/16
- MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation (IV2022) 12/15
- Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? (arxiv 2022/09) 12/13
- BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving (arxiv2022/05) 12/11
- BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers (ECCV2022) 12/11
- BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation (arxiv2022/05) 12/10
- MTBF Model for AVs - From Perception Errors to Vehicle-Level Failures (IV2022) 06/21
2021
- Center-based 3D Object Detection and Tracking (araxiv 2020/06, CVPR2021) 10/10
- EagerMOT: 3D Multi-Object Tracking via Sensor Fusion (ICRA2021) 10/10
- Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models (NeurIPS 2020 Workshop) 10/10
- Let’s Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving (WACV2021) 10/10
- LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net (ICCV Workshop 2019) 10/10
- Multi-View 3D Object Detection Network for Autonomous Driving (IROS2019) 10/10
- Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks (ICRA2019) 10/10
- Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks (IROS2020) 10/10
- MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views (IROS2020) 10/10
- One Million Scenes for Autonomous Driving: ONCE Dataset (2021/06 arxiv) 10/10
- Optimising the selection of samples for robust lidar camera calibration (arxiv 2021/03) 10/10
- The Importance of Prior Knowledge in Precise Multimodal Prediction (IROS2020) 10/10
- Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving (arxiv2018, WACV2020) 10/10