Sungryull Sohn
Sungryull Sohn
Research Scientist, LG AI Research
Verified email at - Homepage
Cited by
Cited by
Learning to generate long-term future via hierarchical prediction
R Villegas, J Yang, Y Zou, S Sohn, X Lin, H Lee
international conference on machine learning, 3560-3569, 2017
Hierarchical reinforcement learning for zero-shot generalization with subtask dependencies
S Sohn, J Oh, H Lee
Neural Information Processing Systems (NeurIPS), 2018., 2018
Method of fitting virtual item using human body model and system for providing fitting service of virtual item
HW Kim, SW Lee, KN Kim, JS Choi, BK Koo, KS Cho, TJ Kim, SR Sohn, ...
US Patent 9,607,419, 2017
Meta reinforcement learning with autonomous inference of subtask dependencies
S Sohn, H Woo, J Choi, H Lee
International Conference on Learning Representation (ICLR), 2020, 2020
Successor feature landmarks for long-horizon goal-conditioned reinforcement learning
C Hoang, S Sohn, J Choi, W Carvalho, H Lee
NeurIPS 2021 (Advances in neural information processing systems) 34, 26963-26975, 2021
Smart device and virtual experience providing server providing virtual experience service method using digitalexperience service method using digital clothes
HW Kim, KS Cho, TJ Kim, SR Sohn, JS Choi, BK Koo, KN Kim
US Patent App. 14/668,658, 2015
Apparatus and method of reconstructing 3D clothing model
TJ Kim, HW Kim, SR Sohn, KS Cho, KN Kim, JS Choi, BK Koo
US Patent 9,542,769, 2017
Facial age estimation via extended curvature Gabor filter
J Kim, D Han, S Sohn, J Kim
IEEE international conference on image processing (ICIP), 2015, 1165-1169, 2015
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments
W Carvalho, A Liang, K Lee, S Sohn, H Lee, RL Lewis, S Singh
International Joint Conferences on Artificial Intelligence (IJCAI), 2021, 2020
Multimodal subtask graph generation from instructional videos
Y Jang, S Sohn, L Logeswaran, T Luo, M Lee, H Lee
ICLR 2023 Workshop on Multimodal Representation Learning: Perks and Pitfalls, 2023
Unsupervised task graph generation from instructional video transcripts
L Logeswaran, S Sohn, Y Jang, M Lee, H Lee
Findings of the ACL 2023, 2023
Revisiting Gist-PCA hashing for near duplicate image detection
H Kim, SR Sohn, J Kim
Journal of Signal Processing Systems 91, 575-586, 2019
Fast inference and transfer of compositional task structures for few-shot task generalization
S Sohn, H Woo, J Choi, L Qiang, I Gur, A Faust, H Lee
UAI 2022 (Uncertainty in Artificial Intelligence), 1857-1865, 2022
Learning parameterized task structure for generalization to unseen entities
A Liu, S Sohn, M Qazwini, H Lee
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7534-7541, 2022
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
S Sohn, S Lee, J Choi, H van Seijen, M Fatemi, H Lee
International Conference on Machine Learning (ICML), 2021, 2021
A picture is worth a thousand words: Language models plan from pixels
AZ Liu, L Logeswaran, S Sohn, H Lee
EMNLP 2023 (Conference on Empirical Methods in Natural Language Processing …, 2023
Autoguide: Automated generation and selection of state-aware guidelines for large language model agents
Y Fu, DK Kim, J Kim, S Sohn, L Logeswaran, K Bae, H Lee
arXiv preprint arXiv:2403.08978, 2024
Supervised hashing via uncorrelated component analysis
SR Sohn, H Kim, J Kim
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models
J Choi, S Lee, X Wang, S Sohn, H Lee
Proceedings of the AAAI Conference on Artificial Intelligence. 2024. 38 (10 …, 2024
Code Models are Zero-shot Precondition Reasoners
L Logeswaran, S Sohn, Y Lyu, AZ Liu, DK Kim, D Shim, M Lee, H Lee
NAACL 2024 (Annual Conference of the North American Chapter of the …, 2023
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