activity
20192021
most citedLearning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation

4 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

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…

cs.CV2021★ 1 cited

Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei +8

The developmental process of embryos follows a monotonic order. An embryo can progressively cleave from one cell to multiple cells and finally transform to morula and blastocyst. F…

cs.CV2020★ 4 cited

Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation

Won-Dong Jang, Donglai Wei, Xingxuan Zhang +6

Blastomere instance segmentation is important for analyzing embryos' abnormality. To measure the accurate shapes and sizes of blastomeres, their amodal segmentation is necessary. A…

cs.CV2020★ 1 cited

Automated Measurements of Key Morphological Features of Human Embryos for IVF

Brian D. Leahy, Won-Dong Jang, Helen Y. Yang +11

A major challenge in clinical In-Vitro Fertilization (IVF) is selecting the highest quality embryo to transfer to the patient in the hopes of achieving a pregnancy. Time-lapse micr…

cs.CV2019

A Topological Nomenclature for 3D Shape Analysis in Connectomics

Abhimanyu Talwar, Zudi Lin, Donglai Wei +7

One of the essential tasks in connectomics is the morphology analysis of neurons and organelles like mitochondria to shed light on their biological properties. However, these biolo…