Longlong Jing

Orcid: 0000-0001-7115-2341

According to our database1, Longlong Jing authored at least 30 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-Modal Multi-Channel American Sign Language Recognition.
Int. J. Artif. Intell. Robotics Res., 2024

3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation.
CoRR, 2024

2023
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder.
CoRR, 2023

Class-Level Confidence Based 3D Semi-Supervised Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation.
CoRR, 2022

Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

R4D: Utilizing Reference Objects for Long-Range Distance Estimation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning from Temporal Gradient for Semi-supervised Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning Deep Visual Features from Limited Labeled Data.
PhD thesis, 2021

Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

LGAN: Lung segmentation in CT scans using generative adversarial network.
Comput. Medical Imaging Graph., 2021

VideoSSL: Semi-Supervised Learning for Video Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Self-Supervised Feature Learning by Cross-Modality and Cross-View Correspondences.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Cross-Modal Center Loss for 3D Cross-Modal Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Multimodal Semi-Supervised Learning for 3D Objects.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Coarse-to-Fine Semantic Segmentation From Image-Level Labels.
IEEE Trans. Image Process., 2020

Cross-modal Center Loss.
CoRR, 2020

Self-supervised Modal and View Invariant Feature Learning.
CoRR, 2020

Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences.
CoRR, 2020

Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Medical Image Tampering Detection: A New Dataset and Baseline.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Recognizing American Sign Language Manual Signs from RGB-D Videos.
CoRR, 2019

LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network.
CoRR, 2019

Multi-camera Vehicle Tracking and Re-identification on AI City Challenge 2019.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Video you only look once: Overall temporal convolutions for action recognition.
J. Vis. Commun. Image Represent., 2018

Self-supervised Spatiotemporal Feature Learning by Video Geometric Transformations.
CoRR, 2018

2017
3D convolutional neural network with multi-model framework for action recognition.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017


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