Zhongying Deng
Orcid: 0000-0003-0887-7408
According to our database1,
Zhongying Deng
authored at least 35 papers
between 2019 and 2024.
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Bibliography
2024
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning.
Trans. Mach. Learn. Res., 2024
CoRR, 2024
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI.
CoRR, 2024
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey.
CoRR, 2024
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.
CoRR, 2024
CoRR, 2024
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies.
CoRR, 2023
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.
CoRR, 2023
CoRR, 2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.
CoRR, 2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.
CoRR, 2023
CoRR, 2023
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023
Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation.
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023
Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
CoRR, 2022
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022
Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Learning Discriminative Representation For Facial Expression Recognition From Uncertainties.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
IEEE Trans. Image Process., 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019