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20192023
most citedRevisiting RCAN: Improved Training for Image Super-Resolution

47 citations · 140 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation

Anirudh S Chakravarthy, Won-Dong Jang, Zudi Lin +3

Video instance segmentation aims to detect, segment, and track objects in a video. Current approaches extend image-level segmentation algorithms to the temporal domain. However, th…

eess.IV2021★ 28 cited

PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics

Zudi Lin, Donglai Wei, Jeff Lichtman +1

We present PyTorch Connectomics (PyTC), an open-source deep-learning framework for the semantic and instance segmentation of volumetric microscopy images, built upon PyTorch. We de…

eess.IV2021★ 25 cited

Asymmetric 3D Context Fusion for Universal Lesion Detection

Jiancheng Yang, Yi He, Kaiming Kuang +3

Modeling 3D context is essential for high-performance 3D medical image analysis. Although 2D networks benefit from large-scale 2D supervised pretraining, it is weak in capturing 3D…

cs.CV2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Donglai Wei, Kisuk Lee, Hanyu Li +13

Electron microscopy (EM) enables the reconstruction of neural circuits at the level of individual synapses, which has been transformative for scientific discoveries. However, due t…

cs.CV2021

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Zudi Lin, Donglai Wei, Mariela D. Petkova +12

Segmenting 3D cell nuclei from microscopy image volumes is critical for biological and clinical analysis, enabling the study of cellular expression patterns and cell lineages. Howe…