Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection JX Zhong, N Li, W Kong, S Liu, TH Li, G Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 454 | 2019 |
ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection WH Lin, JX Zhong, S Liu, T Li, G Li IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 129 | 2020 |
Step-by-step erasion, one-by-one collection: a weakly supervised temporal action detector JX Zhong, N Li, W Kong, T Zhang, TH Li, G Li Proceedings of the 26th ACM international conference on Multimedia, 35-44, 2018 | 99 | 2018 |
Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning N Li, JX Zhong, X Shu, H Guo Neurocomputing 481, 154-167, 2022 | 20 | 2022 |
Context-aware attention network for predicting image aesthetic subjectivity M Xu, JX Zhong, Y Ren, S Liu, G Li Proceedings of the 28th ACM international conference on multimedia, 798-806, 2020 | 20 | 2020 |
No pain, big gain: classify dynamic point cloud sequences with static models by fitting feature-level space-time surfaces JX Zhong, K Zhou, Q Hu, B Wang, N Trigoni, A Markham Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 18 | 2022 |
Weakly-and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images J Wu, JX Zhong, EZ Chen, J Zhang, JY Jay, L Yu International Workshop on Graph Learning in Medical Imaging, 112-119, 2019 | 13* | 2019 |
Dynpoint: Dynamic neural point for view synthesis K Zhou, JX Zhong, S Shin, K Lu, Y Yang, A Markham, N Trigoni Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
Diverse part attentive network for video-based person re-identification X Shu, G Li, L Wei, JX Zhong, X Zang, S Zhang, Y Wang, Y Liang, Q Tian Pattern Recognition Letters 149, 17-23, 2021 | 10 | 2021 |
Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection JX Zhong, H Zhang AAAI 2021 Workshop: Trustworthy AI for Healthcare, 2021 | 5 | 2021 |
Online action tube detection via resolving the spatio-temporal context pattern J Huang, N Li, JX Zhong, TH Li, G Li Proceedings of the 26th ACM international conference on Multimedia, 993-1001, 2018 | 5 | 2018 |
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network Z Li, JX Zhong, J Huang, T Zhang, T Li, G Li 2019 International Joint Conference on Artificial Intelligence, 2019 | 3 | 2019 |
An active action proposal method based on reinforcement learning T Zhang, N Li, J Huang, JX Zhong, G Li 2018 25th IEEE International Conference on Image Processing (ICIP), 4053-4057, 2018 | 3 | 2018 |
Deep Metric Learning with False Positive Probability: Trade Off Hard Levels in a Weighted Way JX Zhong, G Li, N Li Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 3 | 2017 |
Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection Q Xie, TY Cheng, JX Zhong, K Zhou, A Markham, N Trigoni Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search K Paramonov, JX Zhong, U Michieli, J Moon, M Ozay arXiv preprint arXiv:2407.07541, 2024 | 1 | 2024 |
MGDepth: Motion-guided cost volume for self-supervised monocular depth in dynamic scenarios K Zhou, JX Zhong, JW Bian, Q Xie, JQ Zheng, N Trigoni, A Markham arXiv preprint arXiv:2312.15268, 2023 | 1 | 2023 |
Precision optical weed removal evaluation with laser H Zhang, JX Zhong, WJ Zhou CLEO: Applications and Technology, JW2A. 145, 2023 | 1 | 2023 |
A New Accurate Image Denoising Method Based on Sparse Coding Coefficients K Lin, G Li, Y Zhang, JX Zhong International Conference on Multimedia Modeling, 3-13, 2018 | 1 | 2018 |
SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field Y He, S Xu, JX Zhong, S Shin, N Trigoni, A Markham arXiv preprint arXiv:2406.11006, 2024 | | 2024 |