师资队伍

李学龙* and 赵斌, “视频萃取,” 中国科学: 信息科学, 2021, 51(5): 695-734. [BibTeX] | [PDF]

B. Zhao, P. Han, and X. Li, "Vehicle perception from satellite," IEEE Transactions on pattern analysis and machine intelligence, vol. 46, no. 4, pp. 2545-2554, 2023. [BibTeX] | [Project] | (SCI一区, IF: 24.314)

C. Yan, D. Qu, D. Wang, D. Xu, Z. Wang, B. Zhao, and X. Li, "Gs-slam: Dense visual slam with 3d Gaussian splatting," IEEE Conference on Computer Vision and Pattern Recognition, 2024. [BibTeX] | [Project] | (CCF A类)

D. Qu, C. Yan, D. Wang, J. Yin, D. Xu, B. Zhao, and X. Li, "Implicit Event-RGBD Neural SLAM," IEEE Conference on Computer Vision and Pattern Recognition, 2024. [BibTeX] | [Project] | (CCF A类)

Z. Li, B. Zhao, and Y. Yuan, "Cross-modal Generative Model for Visual-Guided Binaural Stereo Generation," IEEE Conference on Computer Vision and Pattern Recognition, 2024. [BibTeX] | [PDF] | (CCF A类)

M. Cui, Z. Wang, D. Wang, B. Zhao, and X. Li, "Color Event Enhanced Single-Exposure HDR Imaging," in Proceedings of the AAAI Conference on Artificial Intelligence, 2024, pp. 1399-1407. [BibTeX] | [PDF] | (CCF A类)

Y. Tang, R. Zhang, Z. Guo, X. Ma, B. Zhao, Z. Wang, D. Wang, and X. Li, "Point-PEFT: Parameter-efficient fine-tuning for 3D pre-trained models," in Proceedings of the AAAI Conference on Artificial Intelligence, 2024, pp. 1399-1407. [BibTeX] | [Project] | (CCF A类)

H. He, C. Bai, K. Xu, Z. Yang, W. Zhang, D. Wang, B. Zhao, and X. Li, "Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning," Advances in neural information processing systems, vol. 36, 2024. [BibTeX] | [Project] | (CCF A类)

K. Xu, C. Bai, X. Ma, D. Wang, B. Zhao, Z. Wang, X. Li, and W. Li, "Cross-domain policy adaptation via value-guided data filtering," Advances in Neural Information Processing Systems, vol. 36, 2024. [BibTeX] | [PDF] | (CCF A类)

J. Sun, B. Zhao, D. Wang, Z. Wang, J. Zhang, N. Koukourakis, J. W. Czarske, and X. Li, "Calibration-free quantitative phase imaging in multi-core fiber endoscopes using end-to-end deep learning," Optics Letters, vol. 49, no. 2, pp. 342-345, 2024. [BibTeX] | [PDF] | (SCI二区, IF: 3.6)

C. Bai, L. Wang, J. Hao, Z. Yang, B. Zhao, Z. Wang, and X. Li, "Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning," Artificial Intelligence, vol. 326, pp. 104048, 2024. [BibTeX] | [PDF] | (SCI一区, IF: 14.4)

Z. Li, B. Zhao, and Y. Yuan, "Bio-Inspired Audiovisual Multi-Representation Integration via Self-Supervised Learning," in Proceedings of the 31st ACM International Conference on Multimedia, 2023, pp. 3755-3764. [BibTeX] | [PDF] | (CCF A类)

Y. Wang, Z. Wang, B. Zhao*, D. Wang, M. Chen, X. Li*, “Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking,” IEEE Conference on Computer Vision and Pattern Recognition, 2023. [BibTeX] | [PDF] | (CCF A类)

H. Si#, B. Zhao#, D. Wang, Y. Gao, M. Chen, Z. Wang, X. Li*, "Fully Self-Supervised Depth Estimation from Defocus Clue," IEEE Conference on Computer Vision and Pattern Recognition, 2023. [BibTeX] | [PDF] | (CCF A类)

W. Li, L. Zhang, D. Wang, B. Zhao*, Z. Wang, M. Chen, B. Zhang, Z. Wang, L. Bo, X. Li*, "One-Shot Talking Head Synthesis with Subject-Agnostic and Deformable Neural Radiance Field," IEEE Conference on Computer Vision and Pattern Recognition, 2023. [BibTeX] | [PDF] | (CCF A类)

R. Zhang, Z. Guo, P. Gao, R. Fang, B. Zhao, D. Wang, Y. Qiao, H. Li, "Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training", Advances in Neural Information Processing Systems, 2023. [BibTeX] | [PDF] | (CCF A类)

B. Zhao, H. Li, X. Lu, and X. Li*, "Reconstructive Sequence-Graph Network for Video Summarization," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 5, pp. 2793-2801, 2022. [BibTeX] | [PDF] | (SCI一区, IF: 24.314)

@article{liVideoDistillation2021,
          title={Reconstructive Sequence-Graph Network for Video Summarization},
          author={Zhao, Bin and Haopeng, Li and Lu, Xiaoqiang Li, Xuelong},
          journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
          doi={10.1109/TPAMI.2021.3072117},
          year={2021}
        }

B. Zhao, X. Li, and X. Lu, "CAM-RNN: Co-Attention Model based RNN for Video Captioning," IEEE Transactions on Image Processing, vol. 28, no. 11, pp. 5552-5565, 2019. [BibTeX] | [PDF] | (SCI一区, IF: 11.041)

@article{zhao2019cam,
          title={CAM-RNN: Co-attention model based RNN for video captioning},
          author={Zhao, Bin and Li, Xuelong and Lu, Xiaoqiang},
          journal={IEEE Transactions on Image Processing},
          volume={28},
          number={11},
          pages={5552--5565},
          year={2019}
        }

B. Zhao, X. Li, and X. Lu, "Property-Constrained Dual Learning for Video Summarization," IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 10, pp. 3989-4000, 2020. [BibTeX] | [PDF] | (SCI一区, IF: 10.453)

@article{zhao2019property,
  title={Property-constrained dual learning for video summarization},
  author={Zhao, Bin and Li, Xuelong and Lu, Xiaoqiang},
  journal={IEEE transactions on neural networks and learning systems},
  volume={31},
  number={10},
  pages={3989--4000},
  year={2019},
  publisher={IEEE}
        }

B. Zhao, X. Li, and X. Lu, "HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization," IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 7405-7414. [BibTeX] | [PDF] | (CCF A类)

@inproceedings{zhao2018hsa,
          title={Hsa-rnn: Hierarchical structure-adaptive rnn for video summarization},
          author={Zhao, Bin and Li, Xuelong and Lu, Xiaoqiang},
          booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
          pages={7405--7414},
          year={2018}
        }

B. Zhao, X. Li, and X. Lu, "Hierarchical Recurrent Neural Network for Video Summarization," ACM International Conference on Multimedia, 2017, pp. 863-871. [BibTeX] | [PDF] | (CCF A类)

@inproceedings{zhao2017hierarchical,
          title={Hierarchical recurrent neural network for video summarization},
          author={Zhao, Bin and Li, Xuelong and Lu, Xiaoqiang},
          booktitle={Proceedings of the 25th ACM international conference on Multimedia},
          pages={863--871},
          year={2017}
        }

B. Zhao, X. Li, and X. Lu, "Video Captioning with Tube Features," IJCAI, 2018, pp. 1177-1183. [BibTeX] | [PDF] | (CCF A类)

@inproceedings{zhao2018video,
  title={Video Captioning with Tube Features.},
  author={Zhao, Bin and Li, Xuelong and Lu, Xiaoqiang and others},
  booktitle={IJCAI},
  pages={1177--1183},
  year={2018}
        }

B. Zhao, X. Li, and X. Lu, "TTH-RNN: Tensor-Train Hierarchical Recurrent Neural Network for Video Summarization," IEEE Transactions on Industrial Electronics, vol. 68, no. 4, pp. 3629-3637, 2020. [BibTeX] | [PDF] | (SCI一区, IF: 7.515)

@article{zhao2020tth,
  title={TTH-RNN: Tensor-train hierarchical recurrent neural network for video summarization},
  author={Zhao, Bin and Li, Xuelong and Lu, Xiaoqiang},
  journal={IEEE Transactions on Industrial Electronics},
  volume={68},
  number={4},
  pages={3629--3637},
  year={2020},
  publisher={IEEE}
        }

B. Zhao, M. Gong, and X. Li, "AudioVisual Video Summarization," IEEE Transactions on Neural Networks and Learning Systems, 2021. [BibTeX] | [PDF] | (SCI一区, IF: 10.453)

@article{zhao2021audiovisual,
  title={AudioVisual Video Summarization},
  author={Zhao, Bin and Gong, Maoguo and Li, Xuelong},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2021},
  publisher={IEEE}
        }

B. Zhao, X. Li, "EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation," IEEE Transactions on Neural Networks and Learning Systems, 2022. [BibTeX] | [PDF] | (SCI一区, IF: 10.453)

@article{zhao2021ea,
  title={EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation},
  author={Zhao, Bin and Li, Xuelong},
  journal={arXiv preprint arXiv:2105.07673},
  year={2021}
        }

X. Li, B. Zhao, and X. Lu, "MAM-RNN: Multi-level Attention Model Based RNN for Video Captioning," IJCAI, 2017, pp. 2208-2214. [BibTeX] | [PDF] | (CCF A类)

@inproceedings{li2017mam,
  title={MAM-RNN: Multi-level Attention Model Based RNN for Video Captioning.},
  author={Li, Xuelong and Zhao, Bin and Lu, Xiaoqiang and others},
  booktitle={IJCAI},
  volume={2017},
  pages={2208--2214},
  year={2017}
        }

X. Li, B. Zhao, and X. Lu, "A General Framework for Edited Video and Raw Video Summarization," IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3652-3664, 2017. [BibTeX] | [PDF] | (SCI一区, IF: 11.041)

@article{li2017general,
  title={A general framework for edited video and raw video summarization},
  author={Li, Xuelong and Zhao, Bin and Lu, Xiaoqiang},
  journal={IEEE Transactions on Image Processing},
  volume={26},
  number={8},
  pages={3652--3664},
  year={2017},
  publisher={IEEE}
        }

H. Ning, B. Zhao, and Y. Yuan, "Semantics-Consistent Representation Learning for Remote Sensing Image–Voice Retrieval," IEEE Transactions on Geoscience and Remote Sensing, DOI:10.1109/TGRS.2021.3060705, 2021. [BibTeX] | [PDF] | (SCI一区，IF: 8.125)

@article{ning2021semantics,
  title={Semantics-Consistent Representation Learning for Remote Sensing Image--Voice Retrieval},
  author={Ning, Hailong and Zhao, Bin and Yuan, Yuan},
  journal={IEEE transactions on geoscience and remote sensing},
  number={10.1109/TGRS.2021.3060705},
  year={2021}
        }

X. Li, G. Li, and B. Zhao, "Low-Light Hyperspectral Image Enhancement," IEEE Transactions on Geoscience and Remote Sensing, 2022. [BibTeX] | [PDF] | (SCI一区, IF: 8.125)

@article{li2022low,
  title={Low-Light Hyperspectral Image Enhancement},
  author={Li, Xuelong and Li, Guanlin and Zhao, Bin},
  journal={arXiv preprint arXiv:2208.03042},
  year={2022}
        }

H. Ning, B. Zhao, Z. Hu, L. He, and E. Pei, “Audio-visual Collaborative Representation Learning for Dynamic Saliency Prediction”, Knowledge-Based Systems, 109675, 2022. [BibTeX] | [PDF] |(SCI一区, IF: 8.139)