2024
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024
MoST: Multi-modality Scene Tokenization for Motion Prediction.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Multi-Class 3D Object Detection with Single-Class Supervision.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking.
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Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2022, 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022
Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining.
Proceedings of the Computer Vision - ECCV 2022, 2022
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Revisiting 3D Object Detection From an Egocentric Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.
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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Offboard 3D Object Detection From Point Cloud Sequences.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Object-Centric Multi-View Aggregation.
CoRR, 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.
Proceedings of the Computer Vision - ECCV 2020, 2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
KPConv: Flexible and Deformable Convolution for Point Clouds.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Deep Hough Voting for 3D Object Detection in Point Clouds.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Order-Aware Generative Modeling Using the 3D-Craft Dataset.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Generating 3D Adversarial Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
FlowNet3D: Learning Scene Flow in 3D Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Learning Scene Flow in 3D Point Clouds.
CoRR, 2018
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018
Frustum PointNets for 3D Object Detection From RGB-D Data.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
FPNN: Field Probing Neural Networks for 3D Data.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Volumetric and Multi-view CNNs for Object Classification on 3D Data.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Joint embeddings of shapes and images via CNN image purification.
ACM Trans. Graph., 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Teaching digital signal processing with Stanford's Lab-in-a-Box.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015