Jun Li
Orcid: 0009-0006-5270-313XAffiliations:
- Nanjing University of Science and Technology, School of Computer Science and Engineering, PCA Lab, Nanjing, China
- Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA (2015 - 2018)
- Nanjing University of Science and Technology, School of Computer Science and Technology, China (PhD 2015)
According to our database1,
Jun Li
authored at least 103 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Pedestrian Crossing Intention Prediction Based on Cross-Modal Transformer and Uncertainty-Aware Multi-Task Learning for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., September, 2024
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024
Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
CoRR, 2024
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Text2Avatar: Text to 3d Human Avatar Generation with Codebook-Driven Body Controllable Attribute.
Proceedings of the IEEE International Conference on Acoustics, 2024
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
IEEE Trans. Neural Networks Learn. Syst., May, 2023
Neurocomputing, April, 2023
Pattern Recognit., 2023
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization.
CoRR, 2023
Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image.
CoRR, 2023
CoRR, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Image and Graphics - 12th International Conference, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Image Process., 2022
Fast and Lightweight Network for Single Frame Structured Illumination Microscopy Super-Resolution.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Pattern Recognit., 2021
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution.
CoRR, 2021
G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime.
Proceedings of the Machine Learning for Health, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
IEEE Signal Process. Lett., 2020
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes.
CoRR, 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning.
IEEE Trans. Multim., 2019
Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying.
IEEE Trans. Image Process., 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Visual Representation and Classification by Learning Group Sparse Deep Stacking Network.
IEEE Trans. Image Process., 2018
Image Vis. Comput., 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Image Process., 2017
Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks.
CoRR, 2017
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
IEEE Trans. Image Process., 2016
Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
Super Resolution of the Partial Pixelated Images With Deep Convolutional Neural Network.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
Object segmentation using low-rank representation with multiple block-diagonal priors.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Higher-level feature combination via multiple kernel learning for image classification.
Neurocomputing, 2015
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Continuous attractors of higher-order recurrent neural networks with infinite neurons.
Neurocomputing, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
2012
Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix.
Neurocomputing, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012