主页/代表性论文
  • 2023

    1. Zhijing Wan, Xin Xu, Zheng Wang, Zhixiang Wang, and Ruimin Hu, “From Multi-Source Virtual to Real: Effective Virtual Data Search for Vehicle Re-Identification.” IEEE Transactions on Intelligent Transportation Systems, 2023. https://ieeexplore.ieee.org/document/10315031
    2. Shiqin Wang, Xin Xu, Xianzheng Ma, Kui Jiang, and Zheng Wang, “Informative Classes Matter: Towards Unsupervised Domain Adaptive Nighttime Semantic Segmentation.” in Proceedings of the the 31st ACM International Conference on Multimedia (ACM MM), 2023. https://dl.acm.org/doi/10.1145/3581783.3611956
    3. Wanyu Wu, Wei Wang, Zheng Wang, Kui Jiang, and Xin Xu, “From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement.” in Proceedings of the 32th International Joint Conference on Artificial Intelligence (IJCAI), 2023. https://www.ijcai.org/proceedings/2023/170
    4. Xin Yuan, Xin Xu, Zheng Wang, Kai Zhang, Wei Liu, and Ruimin Hu, “Searching Parameterized Retrieval & Verification Loss for Re-identification.” IEEE Journal of Selected Topics in Signal Processing, 2023. https://ieeexplore.ieee.org/abstract/document/10056933
    5. 别倩, 王晓, 徐新, 赵启军, 王正, 陈军, 胡瑞敏, “红外—可见光跨模态的行人检测综述.” 中国图象图形学报, 2023. http://www.cjig.cn/jig/ch/reader/view_abstract.aspx?file_no=220670&flag=1
    6. Xin Yuan, Xin Xu, Xiao Wang, Kai Zhang, Liang Liao, Zheng Wang, and Chia‐Wen Lin, “OSAP-Loss: Efficient optimization of average precision via involving samples after positive ones towards remote sensing image retrieval.” CAAI Transactions on Intelligence Technology, 2023. https://doi.org/10.1049/cit2.12151

  • 2022

    1. Xin Xu, Wei Liu, Zheng Wang, Ruimin Hu, and Qi Tian, “Towards generalizable person re-identification with a bi-stream generative model.” Pattern Recognition, 2022. https://www.sciencedirect.com/science/article/abs/pii/S0031320322004344
    2. Xin Xu, Xin Yuan, Zheng Wang, Kai Zhang, and Ruimin Hu, “Rank-in-Rank Loss for Person Re-identification.” ACM Transactions on Multimedia Computing, Communications, and Applications, 2022. https://dl.acm.org/doi/10.1145/3532866
    3. Xiao Wang, Zheng Wang, Wu Liu, Xin Xu, Qijun Zhao, and Shin'ichi Satoh, “Towards causality inference for very important person localization.” in Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022. https://dl.acm.org/doi/abs/10.1145/3503161.3548014
    4. Pengyu Xie, Xin Xu, Zheng Wang, and Toshihiko Yamasaki, “Sampling and Re-weighting: Towards Diverse Frame Aware Unsupervised Video Person Re-identification.” IEEE Transactions on Multimedia, 2022. https://ieeexplore.ieee.org/document/9807391
    5. Zhijing Wan, Xin Xu, Zheng Wang, Toshihiko Yamasaki, Xiaolong Zhang, and Ruimin Hu, “Efficient virtual data search for annotation-free vehicle reidentification.” International Journal of Intelligent Systems, 2022.（封面论文） https://onlinelibrary.wiley.com/doi/10.1002/int.22829
    6. Cunxing Lei, Xin Xu, Yingying Ma, Shikuan Jin, Boming Liu, and Wei Gong, “Full coverage estimation of the PM2.5 concentration across China based on an adaptive spatiotemporal approach.” IEEE Transactions on Geoscience and Remote Sensing, 2022. https://ieeexplore.ieee.org/document/9916512
    7. 邓梦娇，徐新，马盈盈，龚威，金适宽，胡瑞敏, “多层感知机结合辐射传输模型的复杂陆地表面云检测.” 电子学报, 2022. https://www.ejournal.org.cn/CN/10.12263/DZXB.20210636

  • 2021

    1. Xin Xu, Lei Liu, Xiaolong Zhang, Weili Guan, and Ruimin Hu, “Rethinking data collection for person re-identification: active redundancy reduction.” Pattern Recognition, May 2021, 113: 107827. https://www.sciencedirect.com/science/article/pii/S0031320321000145
    2. Xin Xu, Shiqin Wang, Zheng Wang, Xiaolong Zhang, and Ruimin Hu, “Exploring image enhancement for salient object detection in low light images.” ACM Transactions on Multimedia Computing, Communications, and Applications, 2021, 17(1s): art. no. 8. https://dl.acm.org/doi/abs/10.1145/3414839
    3. Yang Zhu, Yingying Ma, Boming Liu, Xin Xu, Shikuan Jin, and Wei Gong, “Retrieving the vertical distribution of PM2.5 mass concentration from lidar via a random forest model.” IEEE Transactions on Geoscience and Remote Sensing, 2021, accepted. https://ieeexplore.ieee.org/abstract/document/9513287
    4. Xiao Wang, Zheng Wang, Wu Liu, Xin Xu, Jing Chen, and Chia-Wen Lin, “Consistency-constancy bi-knowledge learning for pedestrian detection in night surveillance.” in Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), Oct. 2021, pp. 4463- 4471. https://dl.acm.org/doi/abs/10.1145/3474085.3475599
    5. Xiao Wang, et al., “Very important person localization in unconstrained conditions: a new benchmark.” in Proceedings of The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021, 35(4), 2809-2816. https://www.aaai.org/AAAI21Papers/AAAI-727.WangX.pdf
    6. Pengyu Xie, Xin Xu, Zheng Wang, and Toshihiko Yamasaki, “Unsupervised video person re-identification via noise and hard frame aware clustering.” IEEE International Conference on Multimedia and Expo (ICME), July 2021, pp. 1-6. （最佳论文提名奖） https://ieeexplore.ieee.org/abstract/document/9428200
    7. Wenbo Yu, Xin Xu, Shikuan Jin, Yingying Ma, and Wei Gong, "BP Neural Network Retrieval for Remote Sensing Atmospheric Profile of Ground-Based Microwave Radiometer." IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2021. https://ieeexplore.ieee.org/document/9559908

  • Before 2021

    1. Wei Wang, et al., “Hazy image decolorization with color contrast restoration.” IEEE Transactions on Image Processing, vol. 29, pp. 1776-1787, 2020. https://ieeexplore.ieee.org/abstract/document/8835066
    2. Xiao Wang, et al., “S3D: scalable pedestrian detection via score scale surface discrimination.” IEEE Transactions on Circuits and Systems for Video Technology, 30(10), pp. 3332-3344, 2020. https://ieeexplore.ieee.org/abstract/document/8698270
    3. Xiao Wang, et al., “Listen, look, and find the one: robust person search with multimodality index.” ACM Transactions on Multimedia Computing, Communications, and Applications, 16(2), Article 47, 2020. https://dl.acm.org/doi/abs/10.1145/3380549
    4. Xiao Wang, et al., “When pedestrian detection meets nighttime surveillance: a new benchmark.” in Conf. Rec. 2020 the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), 2020, 509-515. https://www.ijcai.org/Proceedings/2020/0071.pdf
    5. Wei Wang, et al., “Color contrast-preserving decolorization.” IEEE Transactions on Image Processing, 27(11): 5464–5474, 2018. https://ieeexplore.ieee.org/abstract/document/6215215/
    6. 徐新, 穆楠, 张晓龙. 一种鲁棒的夜间图像显著性对象检测模型[J]. 软件学报, 2018, 29(9): 2616-2631. http://www.jos.org.cn/1000-9825/5396.htm