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06/26/2023
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
Unpaired image-to-image translation (UNIT) aims to map images between tw...
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11/26/2022
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
Multi-modality (MM) image fusion aims to render fused images that mainta...
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04/17/2022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
Existing leading methods for spectral reconstruction (SR) focus on desig...
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04/06/2022
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN
Instance segmentation for unlabeled imaging modalities is a challenging ...
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01/27/2022
Revisiting RCAN: Improved Training for Image Super-Resolution
Image super-resolution (SR) is a fast-moving field with novel architectu...
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12/10/2021
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics
We present PyTorch Connectomics (PyTC), an open-source deep-learning fra...
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11/15/2021
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
Video instance segmentation aims to detect, segment, and track objects i...
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09/17/2021
Asymmetric 3D Context Fusion for Universal Lesion Detection
Modeling 3D context is essential for high-performance 3D medical image a...
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09/27/2019
A Topological Nomenclature for 3D Shape Analysis in Connectomics
An essential task in nano-scale connectomics is the morphology analysis ...
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09/13/2019
White-Box Adversarial Defense via Self-Supervised Data Estimation
In this paper, we study the problem of how to defend classifiers against...
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07/29/2019