Pengchong Qiao
Orcid: 0000-0002-9292-2744
According to our database1,
Pengchong Qiao
authored at least 19 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Int. J. Comput. Vis., March, 2025
IEEE Trans. Multim., 2025
Joint Global-Local Frames Modeling to enhance semantic alignment for zero-shot long video editing.
Neurocomputing, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Medical Imaging, December, 2024
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation.
CoRR, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-Shot Subject-Driven Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix.
IEEE Trans. Medical Imaging, May, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
CoRR, 2022
CoRR, 2022
Brain gray matter nuclei segmentation on quantitative susceptibility mapping using dual-branch convolutional neural network.
Artif. Intell. Medicine, 2022
2021
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021
2020
Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network.
CoRR, 2020