Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation.
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IEEE Trans. Medical Imaging, December, 2023
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs.
IEEE J. Biomed. Health Informatics, August, 2023
Relaxing Contrastiveness in Multimodal Representation Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
NucExM Dataset for Nuclei Segmentation in Expansion Microscopy.
Dataset, August, 2022
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN.
CoRR, 2022
Revisiting RCAN: Improved Training for Image Super-Resolution.
CoRR, 2022
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Texture-based Error Analysis for Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
NTIRE 2022 Spectral Recovery Challenge and Data Set.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics.
CoRR, 2021
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation.
CoRR, 2021
Asymmetric 3D Context Fusion for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Two Stream Active Query Suggestion for Active Learning in Connectomics.
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Proceedings of the Computer Vision - ECCV 2020, 2020
A Topological Nomenclature for 3D Shape Analysis in Connectomics.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
White-Box Adversarial Defense via Self-Supervised Data Estimation.
CoRR, 2019
FDive: Learning Relevance Models Using Pattern-based Similarity Measures.
Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019