Longlong Jing
Longlong Jing
Waymo LLC
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Cited by
Cited by
Self-supervised visual feature learning with deep neural networks: A survey
L Jing, Y Tian
IEEE transactions on pattern analysis and machine intelligence 43 (11), 4037 …, 2020
Self-supervised spatiotemporal feature learning via video rotation prediction
L Jing, X Yang, J Liu, Y Tian
arXiv preprint arXiv:1811.11387, 2018
Coarse-to-fine semantic segmentation from image-level labels
L Jing, Y Chen, Y Tian
IEEE transactions on image processing 29, 225-236, 2019
LGAN: Lung segmentation in CT scans using generative adversarial network
J Tan, L Jing, Y Huo, L Li, O Akin, Y Tian
Computerized Medical Imaging and Graphics 87, 101817, 2021
Videossl: Semi-supervised learning for video classification
L Jing, T Parag, Z Wu, Y Tian, H Wang
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
Learning from Temporal Gradient for Semi-supervised Action Recognition
J Xiao, L Jing, L Zhang, J He, Q She, Z Zhou, A Yuille, Y Li
Computer Vision and Pattern Recognition (CVPR), 2022
Cross-modal center loss for 3D cross-modal retrieval
L Jing, E Vahdani, J Tan, Y Tian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Video you only look once: Overall temporal convolutions for action recognition
L Jing, X Yang, Y Tian
Journal of Visual Communication and Image Representation 52, 58-65, 2018
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Z Feng, L Yang, L Jing, H Wang, YL Tian, B Li
ECCV 2022, 2022
Self-supervised feature learning by cross-modality and cross-view correspondences
L Jing, L Zhang, Y Tian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
3D convolutional neural network with multi-model framework for action recognition
L Jing, Y Ye, X Yang, Y Tian
2017 IEEE international conference on image processing (ICIP), 1837-1841, 2017
Multi-camera Vehicle Tracking and Re-identification on AI City Challenge 2019
Y Chen, L Jing, E Vahdani, L Zhang, M He, Y Tian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Recognizing american sign language manual signs from rgb-d videos
L Jing, E Vahdani, M Huenerfauth, Y Tian
arXiv preprint arXiv:1906.02851, 2019
Self-Supervised Modality-Invariant and Modality-Specific Feature Learning for 3D Objects
L Jing, Z Chen, B Li, Y Tian
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
Z Feng, L Jing, P Yin, Y Tian, B Li
The Conference on Robot Learning (CoRL), 2021
Multimodal Semi-Supervised Learning for 3D Objects
Z Chen, L Jing, Y Liang, YL Tian, B Li
The British Machine Vision Conference, 2021
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
Z Chen, L Jing, Y Li, B Li
Advances on Neural Information Processing Systems (NeurIPS), 2023, 2023
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
L Jing, R Yu, H Kretzschmar, K Li, CR Qi, H Zhao, A Ayvaci, X Chen, ...
International Conference on Robotics and Automation (ICRA), 2022
An isolated-signing RGBD dataset of 100 American Sign Language signs produced by fluent ASL signers
S Hassan, L Berke, E Vahdani, L Jing, Y Tian, M Huenerfauth
Proceedings of the LREC2020 9th workshop on the representation and …, 2020
Class-Level Confidence Based 3D Semi-Supervised Learning
Z Chen, L Jing, L Yang, Y Li, B Li
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, 2023
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