Kai Zhao
Orcid: 0000-0002-2496-0829Affiliations:
- Shanghai University, School of Communication and Information Engineering, Shanghai, China
- University of California, Department of Radiological Sciences, Los Angeles, CA (2022 - 2025)
- Nankai University, College of Computer Science, Tianjin, China (PhD 2020)
According to our database1,
Kai Zhao authored at least 47 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on kaizhao.net
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Bibliography
2026
CoRR, May, 2026
CoRR, March, 2026
MIST: A Benchmark and Baseline for Multi-Frame Infrared Small Target Detection in Complex Motion.
IEEE Trans. Image Process., 2026
PCa-Mamba: Spatiotemporal state space models for prostate cancer detection in multi-parametric MRI.
Medical Image Anal., 2026
Open-Vocabulary Camouflaged Object Segmentation with Cascaded Vision Language Models.
Comput. Vis. Media, 2026
AICM: An Anatomical-Prior Integrated Conditional Consistency Model for Self-Supervised MRI Through-Plane Super-Resolution.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
Beyond Predictive Resampling: Learning Input-Agnostic Downsampling for Efficient Aligned Vision Recognition.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Vision-Motion-Reference Alignment for Referring Multi-Object Tracking via Multi-Modal Large Language Models.
CoRR, November, 2025
CoRR, August, 2025
IEEE Trans. Medical Imaging, March, 2025
NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolution.
Comput. Biol. Medicine, 2025
MPR-Diff: A Self-Supervised Diffusion Model for Multi-Planar Reformation in Prostate Micro-Ultrasound Imaging.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
Refining Uncertain Features With Self-Distillation for Face Recognition and Person Re-Identification.
IEEE Trans. Multim., 2024
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction.
CoRR, 2024
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution.
IEEE Access, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
Pattern Recognit., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Neurocomputing, 2022
Geometric Synthesis: A Free lunch for Large-scale Palmprint Recognition Model Pretraining.
CoRR, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Structured sparsification with joint optimization of group convolution and channel shuffle.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
2020
Proceedings of the Computer Vision - ECCV 2020, 2020
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
2018
DHNet: working double hard to learn a convolutional neural network-based local descriptor.
J. Electronic Imaging, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images.
IEEE Trans. Image Process., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016