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20212024
most citedPyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics

28 citations · 38 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CV20243 cited

OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction

Jian Liu, Sipeng Zhang, Chuixin Kong +7

This technical report presents our solution, "occTransformer" for the 3D occupancy prediction track in the autonomous driving challenge at CVPR 2023. Our method builds upon the str…

cs.CV2023

Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform

Zudi Lin, Donglai Wei, Aarush Gupta +3

Objects with complex structures pose significant challenges to existing instance segmentation methods that rely on boundary or affinity maps, which are vulnerable to small errors a…

cs.CV2023

CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation

Devaansh Gupta, Siddhant Kharbanda, Jiawei Zhou +3

There has been a growing interest in developing multimodal machine translation (MMT) systems that enhance neural machine translation (NMT) with visual knowledge. This problem setup…

cs.CV20231 cited

Why is the winner the best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru +122

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…

cs.CV20231 cited

The XPRESS Challenge: Xray Projectomic Reconstruction -- Extracting Segmentation with Skeletons

Tri Nguyen, Mukul Narwani, Mark Larson +9

The wiring and connectivity of neurons form a structural basis for the function of the nervous system. Advances in volume electron microscopy (EM) and image segmentation have enabl…

cs.CV2023

An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes

Jingpeng Wu, Yicong Li, Nishika Gupta +6

The size of image stacks in connectomics studies now reaches the terabyte and often petabyte scales with a great diversity of appearance across brain regions and samples. However,…