Won-Dong Jang

According to our database, Won-Dong Jang authored at least 38 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation.

Daniel Franco-Barranco, Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin, Yutian Fan, Mingxing Li, Chang Chen, Zhiwei Xiong, Rui Xin, Hao Liu, Huai Chen, Zhili Li, Jie Zhao, Xuejin Chen, Constantin Pape, Ryan Conrad, Luke Nightingale, Joost de Folter, Martin L. Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, Donglai Wei

IEEE Trans. Medical Imaging, December, 2023

Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation.

Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian D. Leahy, Helen Y. Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-Task Curriculum Learning for Partially Labeled Data.

Won-Dong Jang, Stanislav Lukyanenko, Donglai Wei, Jiancheng Yang, Brian D. Leahy, Helen Y. Yang, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Implementation and Analysis on Backpropagating Refinement Scheme for Interactive Image Segmentation.

Chaewon Lee, Won-Dong Jang, Chang-Su Kim

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset.

Donglai Wei, Siddhant Kharbanda, Sarthak Arora, Roshan Roy, Nishant Jain, Akash Palrecha, Tanav Shah, Shray Mathur, Ritik Mathur, Abhijay Kemkar, Anirudh Srinivasan Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, James Tompkin, Philip H. S. Torr, Hanspeter Pfister

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

Anirudh Srinivasan Chakravarthy, Won-Dong Jang, Zudi Lin, Donglai Wei, Song Bai, Hanspeter Pfister

CoRR, 2021

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

Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister

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.

Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data.

Robert Krüger, Johanna Beyer, Won-Dong Jang, Nam Wook Kim, Artem Sokolov, Peter K. Sorger, Hanspeter Pfister

IEEE Trans. Vis. Comput. Graph., 2020

Superpixels for image and video processing based on proximity-weighted patch matching.

Se-Ho Lee, Won-Dong Jang, Chang-Su Kim

Multim. Tools Appl., 2020

MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images.

Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Channel Embedding for Informative Protein Identification from Highly Multiplexed Images.

Salma Abdel Magid, Won-Dong Jang, Denis Schapiro, Donglai Wei, James Tompkin, Peter K. Sorger, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automated Measurements of Key Morphological Features of Human Embryos for IVF.

Brian D. Leahy, Won-Dong Jang, Helen Y. Yang, Robbert Struyven, Donglai Wei, Zhe Sun, Kylie R. Lee, Charlotte Royston, Liz Cam, Yael Kalma, Foad Azem, Dalit Ben-Yosef, Hanspeter Pfister, Daniel Needleman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Two Stream Active Query Suggestion for Active Learning in Connectomics.

Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel R. Berger, Brian Matejek, Lee Kamentsky, Adi Suissa-Peleg, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister

Proceedings of the Computer Vision - ECCV 2020, 2020

A Topological Nomenclature for 3D Shape Analysis in Connectomics.

Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff Lichtman, Hanspeter Pfister

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Interactive Image Segmentation via Backpropagating Refinement Scheme.

Won-Dong Jang, Chang-Su Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Tracking-by-Segmentation Using Superpixel-Wise Neural Network.

Se-Ho Lee, Won-Dong Jang, Chang-Su Kim

IEEE Access, 2018

2017

Comparison of objective functions in CNN-based prostate magnetic resonance image segmentation.

Juhyeok Mun, Won-Dong Jang, Deuk Jae Sung, Chang-Su Kim

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Temporal Superpixels Based on Proximity-Weighted Patch Matching.

Se-Ho Lee, Won-Dong Jang, Chang-Su Kim

Proceedings of the IEEE International Conference on Computer Vision, 2017

Contour-Constrained Superpixels for Image and Video Processing.

Se-Ho Lee, Won-Dong Jang, Chang-Su Kim

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Online Video Object Segmentation via Convolutional Trident Network.

Won-Dong Jang, Chang-Su Kim

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Background subtraction using encoder-decoder structured convolutional neural network.

Kyungsun Lim, Won-Dong Jang, Chang-Su Kim

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016

RGB-D image segmentation based on multiple random walkers.

Se-Ho Lee, Won-Dong Jang, Byung Kwan Park, Chang-Su Kim

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Streaming Video Segmentation via Short-Term Hierarchical Segmentation and Frame-by-Frame Markov Random Field Optimization.

Won-Dong Jang, Chang-Su Kim

Proceedings of the Computer Vision - ECCV 2016, 2016

POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models.

Yeong Jun Koh, Won-Dong Jang, Chang-Su Kim

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions.

Won-Dong Jang, Chulwoo Lee, Chang-Su Kim

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Semi-supervised Video Object Segmentation Using Multiple Random Walkers.

Won-Dong Jang, Chang-Su Kim

Proceedings of the British Machine Vision Conference 2016, 2016

Video object segmentation using multiple random walkers with GMM restart rule.

Minhyeok Heo, Won-Dong Jang, Chang-Su Kim

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015

FDQM: Fast Quality Metric for Depth Maps Without View Synthesis.

Won-Dong Jang, Taeyoung Chung, Jae-Young Sim, Chang-Su Kim

IEEE Trans. Circuits Syst. Video Technol., 2015

Frame-level matching of near duplicate videos based on ternary frame descriptor and iterative refinement.

Kyung-Rae Kim, Won-Dong Jang, Chang-Su Kim

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Multiple random walkers and their application to image cosegmentation.

Chulwoo Lee, Won-Dong Jang, Jae-Young Sim, Chang-Su Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Near-duplicate video clustering using multiple complementary video signatures.

Jun-Tae Lee, Kyung-Rae Kim, Won-Dong Jang, Chang-Su Kim

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014

Automatic Video Genre Classification Using Multiple SVM Votes.

Won-Dong Jang, Chulwoo Lee, Jae-Young Sim, Chang-Su Kim

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

GEQM: A quality metric for gray-level edge maps based on structural matching.

Won-Dong Jang, Jae-Young Sim, Chang-Su Kim

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Optimized contrast enhancement for real-time image and video dehazing.

Jin-Hwan Kim, Won-Dong Jang, Jae-Young Sim, Chang-Su Kim

J. Vis. Commun. Image Represent., 2013

2012

SEQM: Edge quality assessment based on structural pixel matching.

Won-Dong Jang, Chang-Su Kim

Proceedings of the 2012 Visual Communications and Image Processing, 2012

Efficient depth video coding based on view synthesis distortion estimation.

Taeyoung Chung, Won-Dong Jang, Chang-Su Kim

Proceedings of the 2012 Visual Communications and Image Processing, 2012

Temporally x real-time video dehazing.

Jin-Hwan Kim, Won-Dong Jang, Yongsup Park, Dong-Hahk Lee, Jae-Young Sim, Chang-Su Kim

Proceedings of the 19th IEEE International Conference on Image Processing, 2012