Jihan Yang
Jihan Yang
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Cited by
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Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation
R Xu, G Li, J Yang, L Lin
ICCV 2019, 2019
Openpcdet: An open-source toolbox for 3d object detection from point clouds
OD Team, 2020
St3d: Self-training for unsupervised domain adaptation on 3d object detection
J Yang*, S Shi*, Z Wang, H Li, X Qi
CVPR 2021, 2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
R He*, J Yang*, X Qi
ICCV 2021, 2021
An adversarial perturbation oriented domain adaptation approach for semantic segmentation
J Yang, R Xu, R Li, X Qi, X Shen, G Li, L Lin
AAAI 2020, 2020
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding
R Ding*, J Yang*, C Xue, W Zhang, S Bai, X Qi
CVPR 2023, 2023
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
J Yang, S Shi, Z Wang, H Li, X Qi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Towards Efficient 3D Object Detection with Knowledge Distillation
J Yang, S Shi, R Ding, Z Wang, X Qi
NeurIPS 2022, 2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
R He, S Sun, J Yang, S Bai, X Qi
CVPR 2022, 2022
Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding
J Yang*, R Ding*, W Deng, Z Wang, X Qi
CVPR 2024, 2024
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation
R Ding*, J Yang*, L Jiang, X Qi
ECCV 2022, 2022
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection/3D Tracking/Domain Adaptation of Waymo Open Dataset Challenges
S Shi, C Guo, J Yang, H Li
Technical Report for Waymo Open Challenges, 2020
Lowis3d: Language-driven open-world instance-level 3d scene understanding
R Ding, J Yang, C Xue, W Zhang, S Bai, X Qi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
V-IRL: Grounding Virtual Intelligence in Real Life
J Yang, R Ding, E Brown, X Qi, S Xie
arXiv preprint arXiv:2402.03310, 2024
Can 3D Vision-Language Models Truly Understand Natural Language?
W Deng, R Ding, J Yang, J Liu, Y Li, X Qi, E Ngai
arXiv preprint arXiv:2403.14760, 2024
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