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Tai Wang
Tai Wang
Shanghai AI Laboratory
Verified email at pjlab.org.cn - Homepage
Title
Cited by
Cited by
Year
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 Best Paper, 2021
4862021
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) Oral, 2020
4782020
MMDetection3D: OpenMMLab Next-Generation Platform for General 3D Object Detection
M Contributors
https://github.com/open-mmlab/mmdetection3d, 2020
2702020
Probabilistic and Geometric Depth: Detecting Objects in Perspective
T Wang, X Zhu, J Pang, D Lin
Conference on Robot Learning (CoRL), 2021
2302021
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
129*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
1152020
MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection
R Zhang, H Qiu, T Wang, Z Guo, Z Cui, P Gao, Y Qiao, H Li
IEEE/CVF International Conference on Computer Vision (ICCV), 2022
972022
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
932021
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
892022
Scene as Occupancy
C Sima*, W Tong*, T Wang, L Chen, S Wu, H Deng, Y Gu, L Lu, P Luo, ...
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
63*2023
Monocular 3D Object Detection with Depth from Motion
T Wang, J Pang, D Lin
European Conference on Computer Vision (ECCV) Oral, 2022
462022
PointLLM: Empowering Large Language Models to Understand Point Clouds
R Xu, X Wang, T Wang, Y Chen, J Pang, D Lin
arXiv preprint arXiv:2308.16911, 2023
432023
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
T Wang, X Zhu, D Lin
Conference on Robot Learning (CoRL), 2020
352020
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
232022
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), 2021
232021
Unified Human-Scene Interaction via Prompted Chain-of-Contacts
Z Xiao, T Wang, J Wang, J Cao, W Zhang, B Dai, D Lin, J Pang
International Conference on Learning Representations (ICLR) Spotlight, 2023
192023
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
R Xu, T Wang, W Zhang, R Chen, J Cao, J Pang, D Lin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
172023
GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding
J Liu, T Wang, B Liu, Q Zhang, Y Liu, H Li
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
11*2023
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries
Y Lu, X Zhu, T Wang, Y Ma
arXiv preprint arXiv:2312.03774, 2023
72023
EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI
T Wang, X Mao, C Zhu, R Xu, R Lyu, P Li, X Chen, W Zhang, K Chen, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
62023
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