| 2025 | AAAI | Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. | Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka |
| 2025 | CVPR | MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving. | Zhiyuan Zhang, Xiaofan Li, Zhihao Xu, Wenjie Peng, Zijian Zhou, Miaojing Shi, Shuangping Huang |
| 2025 | CVPR | Learning Flow Fields in Attention for Controllable Person Image Generation. | Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li, Mengmeng Xu, Juan-Manuel Prez-Ra, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He |
| 2025 | MICCAI | Does a Rising Tide Lift All Boats? Bias Mitigation for AI-Based CMR Segmentation. | Tiarna Lee, Esther Puyol-Antn, Bram Ruijsink, Miaojing Shi, Andrew P. King |
| 2025 | SIGCSE | Menagerie: A Dataset of Graded Programming Assignments. | Marcus Messer, Neil C. C. Brown, Michael Klling, Miaojing Shi |
| 2025 | WACV | Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization. | Maxime Fontana, Michael W. Spratling, Miaojing Shi |
| 2024 | AIED | Grading Documentation with Machine Learning. | Marcus Messer, Miaojing Shi, Neil C. C. Brown, Michael Klling |
| 2024 | CVPR | Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation. | Zhipeng Du, Miaojing Shi, Jiankang Deng |
| 2024 | CVPR | LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation. | Linfeng Yuan, Miaojing Shi, Zijie Yue, Qijun Chen |
| 2024 | ECCV | OpenPSG: Open-Set Panoptic Scene Graph Generation via Large Multimodal Models. | Zijian Zhou, Zheng Zhu, Holger Caesar, Miaojing Shi |
| 2024 | ISCAS | Memory-Based Contrastive Learning with Optimized Sampling for Incremental Few-Shot Semantic Segmentation. | Yuxuan Zhang, Miaojing Shi, Taiyi Su, Hanli Wang |
| 2023 | AAAI | Domain-General Crowd Counting in Unseen Scenarios. | Zhipeng Du, Jiankang Deng, Miaojing Shi |
| 2023 | ICCV | HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation. | Zijian Zhou, Miaojing Shi, Holger Caesar |
| 2023 | ITiCSE | Machine Learning-Based Automated Grading and Feedback Tools for Programming: A Meta-Analysis. | Marcus Messer, Neil C. C. Brown, Michael Klling, Miaojing Shi |
| 2022 | CVPR | Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model. | Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li |
| 2021 | WACV | Detecting Human-Object Interaction with Mixed Supervision. | Suresh Kirthi Kumaraswamy, Miaojing Shi, Ewa Kijak |
| 2021 | WACV | Fast Fourier Intrinsic Network. | Yanlin Qian, Miaojing Shi, Joni-Kristian Kmrinen, Jiri Matas |
| 2020 | ECCV | Active Crowd Counting with Limited Supervision. | Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li |
| 2019 | CVPR | Point in, Box Out: Beyond Counting Persons in Crowds. | Yuting Liu, Miaojing Shi, Qijun Zhao, Xiaofang Wang |
| 2019 | CVPR | Revisiting Perspective Information for Efficient Crowd Counting. | Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen |
| 2018 | WACV | Crowd Counting via Scale-Adaptive Convolutional Neural Network. | Lu Zhang, Miaojing Shi, Qiaobo Chen |
| 2017 | ICCV | Weakly Supervised Object Localization Using Things and Stuff Transfer. | Miaojing Shi, Holger Caesar, Vittorio Ferrari |
| 2016 | ECCV | Weakly Supervised Object Localization Using Size Estimates. | Miaojing Shi, Vittorio Ferrari |
| 2015 | CVPR | Early burst detection for memory-efficient image retrieval. | Miaojing Shi, Yannis Avrithis, Herv Jgou |