Sungwoong Kim

According to our database, Sungwoong Kim authored at least 34 papers between 2007 and 2023.

Collaborative distances:

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

2023

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

MTVG : Multi-text Video Generation with Text-to-Video Models.

Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Hyeokmin Kwon, Sangpil Kim

CoRR, 2023

Hexa: Self-Improving for Knowledge-Grounded Dialogue System.

Daejin Jo, Daniel Wontae Nam, Gunsoo Han, Kyoung-Woon On, Taehwan Kwon, Seungeun Rho, Sungwoong Kim

CoRR, 2023

Effortless Integration of Memory Management into Open-Domain Conversation Systems.

Eunbi Choi, Kyoung-Woon On, Gunsoo Han, Sungwoong Kim, Daniel Wontae Nam, Daejin Jo, Seungeun Rho, Taehwan Kwon, Minjoon Seo

CoRR, 2023

Score-based Generative Models with Lévy Processes.

Eun-Bi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation.

Gunsoo Han, Daejin Jo, Daniel Wontae Nam, Eunseop Yoon, Taehwan Kwon, Seungeun Rho, Kyoung-Woon On, Chang Dong Yoo, Sungwoong Kim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MAGVLT: Masked Generative Vision-and-Language Transformer.

Sungwoong Kim, Daejin Jo, Donghoon Lee, Jongmin Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward.

DaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Regularization for Semi-Supervised Learning.

Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han

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

Selective Token Generation for Few-shot Natural Language Generation.

DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Automated Learning Rate Scheduler for Large-batch Training.

Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim

CoRR, 2021

Hybrid Generative-Contrastive Representation Learning.

Saehoon Kim, Sungwoong Kim, Juho Lee

CoRR, 2021

Insights From the NeurIPS 2021 NetHack Challenge.

Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Spatially Consistent Representation Learning.

Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Visual Concept Reasoning Networks.

Taesup Kim, Sungwoong Kim, Yoshua Bengio

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

AutoCLINT: The Winning Method in AutoCV Challenge 2019.

Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim

CoRR, 2020

torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models.

Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim

CoRR, 2020

Learning Loss for Test-Time Augmentation.

Ildoo Kim, Younghoon Kim, Sungwoong Kim

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spatially Attentive Output Layer for Image Classification.

Ildoo Kim, Woonhyuk Baek, Sungwoong Kim

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

2019

Mining GOLD Samples for Conditional GANs.

Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast AutoAugment.

Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Scalable Neural Architecture Search for 3D Medical Image Segmentation.

Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Edge-Labeling Graph Neural Network for Few-Shot Learning.

Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo

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

2018

Bayesian Model-Agnostic Meta-Learning.

Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.

Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother

Int. J. Comput. Vis., 2015

2014

Image Segmentation UsingHigher-Order Correlation Clustering.

Sungwoong Kim, Chang Dong Yoo, Sebastian Nowozin, Pushmeet Kohli

IEEE Trans. Pattern Anal. Mach. Intell., 2014

2013

Task-Specific Image Partitioning.

Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo

IEEE Trans. Image Process., 2013

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.

Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

Large Margin Discriminative Semi-Markov Model for Phonetic Recognition.

Sungwoong Kim, Sungrack Yun, Chang D. Yoo

IEEE Trans. Speech Audio Process., 2011

Higher-Order Correlation Clustering for Image Segmentation.

Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Wearable sensor activity analysis using semi-Markov models with a grammar.

Owen Thomas, Peter Sunehag, Gideon Dror, Sungrack Yun, Sungwoong Kim, Matthew W. Robards, Alexander J. Smola, Daniel Green, Philo Saunders

Pervasive Mob. Comput., 2010

Largemargin training of semi-Markov model for phonetic recognition.

Sungwoong Kim, Sungrack Yun, Chang Dong Yoo

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Pairwise boosted audio fingerprint.

Dalwon Jang, Chang Dong Yoo, Sunil Lee, Sungwoong Kim, Ton Kalker

IEEE Trans. Inf. Forensics Secur., 2009

2007

Boosted Binary Audio Fingerprint Based on Spectral Subband Moments.

Sungwoong Kim, Chang Dong Yoo

Proceedings of the IEEE International Conference on Acoustics, 2007