Tai Wang
Cited by
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Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
X Zhu*, H Zhou*, T Wang, F Hong, Y Ma, W Li, H Li, D Lin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 2020
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
T Wang, X Zhu, J Pang, D Lin
IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2021, 2021
MMDetection3D: OpenMMLab Next-Generation Platform for General 3D Object Detection
M Contributors, 2020
Probabilistic and Geometric Depth: Detecting Objects in Perspective
T Wang, X Zhu, J Pang, D Lin
Conference on Robot Learning (CoRL) 2021, 2021
SSN: Shape Signature Networks for Multi-class Object Detection from Point Cloud
X Zhu, Y Ma, T Wang, Y Xu, J Shi, D Lin
European Conference on Computer Vision (ECCV) 2020, 2020
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
T Wu, L Pan, J Zhang, T Wang, Z Liu, D Lin
Conference on Neural Information Processing Systems (NeurIPS), 2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception
X Zhu, H Zhou, T Wang, F Hong, W Li, Y Ma, H Li, R Yang, D Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
T Wang, X Zhu, D Lin
Conference on Robot Learning (CoRL) 2020, 2020
MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection
R Zhang*, H Qiu*, T Wang, Z Guo, X Xu, Y Qiao, P Gao, H Li
arXiv preprint arXiv:2203.13310, 2022
Monocular 3D Object Detection with Depth from Motion
T Wang, J Pang, D Lin
European Conference on Computer Vision (ECCV) 2022, 2022
Vision-Centric BEV Perception: A Survey
Y Ma*, T Wang*, X Bai*, H Yang, Y Hou, Y Wang, Y Qiao, R Yang, ...
arXiv preprint arXiv:2208.02797, 2022
MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones
T Wang*, Q Lian*, C Zhu, X Zhu, W Zhang
arXiv preprint arXiv:2207.12716, 2022
SIDE: Center-Based Stereo 3D Detector with Structure-aware Instance Depth Estimation
X Peng, X Zhu, T Wang, Y Ma
IEEE Winter Conference on Applications of Computer Vision (WACV) 2022, 2021
FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-based Point Clouds
T Wang, C He, Z Wang, J Shi, D Lin
ACM Symposium on User Interface Software and Technology (UIST) 2020, Poster, 2020
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