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 31th ACM International Conference on Multimedia (ACM MM), 2023.
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.
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.
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.
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.
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.
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.
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, 37(5): 2988-3005. (封面论文)
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.
Xin Xu, Lei Liu, Xiaolong Zhang, Weili Guan, and Ruimin Hu, “Rethinking data collection for person re-identification: active redundancy reduction,” Pattern Recognition, 2021, 113: 107827.
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.
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.
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), 2021, pp. 4463-4471.
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 2021), 2021, pp. 1-6. (最佳论文奖提名, 4/1321)
