Seam carving with forward gradient difference maps. - Hyeonwoo Noh; Bohyung Han (ACM Multimedia, 2012)

Learning Deconvolution Network for Semantic Segmentation. - Hyeonwoo Noh; Seunghoon Hong; Bohyung Han (ICCV, 2015)

Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation. - Seunghoon Hong; Hyeonwoo Noh; Bohyung Han (NIPS, 2015)

Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction. - Hyeonwoo Noh; Paul Hongsuck Seo; Bohyung Han (CVPR, 2016)

Image Retrieval with Deep Local Features and Attention-based Keypoints. - Hyeonwoo Noh; André Araújo 001; Jack Sim; Bohyung Han (CoRR, 2016)

Training Recurrent Answering Units with Joint Loss Minimization for VQA. - Hyeonwoo Noh; Bohyung Han (CoRR, 2016)

Large-Scale Image Retrieval with Attentive Deep Local Features. - Hyeonwoo Noh; André Araújo 001; Jack Sim; Tobias Weyand; Bohyung Han (ICCV, 2017)

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization. - Hyeonwoo Noh; Tackgeun You; Jonghwan Mun; Bohyung Han (NIPS, 2017)

Neural Program Synthesis from Diverse Demonstration Videos. - Shao-Hua Sun; Hyeonwoo Noh; Sriram Somasundaram; Joseph J. Lim (ICML, 2018)

Transfer Learning via Unsupervised Task Discovery for Visual Question Answering. - Hyeonwoo Noh; Taehoon Kim; Jonghwan Mun; Bohyung Han (CVPR, 2019)

Exploiting Hierarchy for Learning and Transfer in KL-regularized RL. - Dhruva Tirumala; Hyeonwoo Noh; Alexandre Galashov; Leonard Hasenclever; Arun Ahuja; Greg Wayne; Razvan Pascanu; Yee Whye Teh; Nicolas Heess (CoRR, 2019)

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. - Ilchae Jung; Kihyun You; Hyeonwoo Noh; Minsu Cho; Bohyung Han (AAAI, 2020)

Asymmetric self-play for automatic goal discovery in robotic manipulation. - OpenAI; Matthias Plappert; Raul Sampedro; Tao Xu; Ilge Akkaya; Vineet Kosaraju; Peter Welinder; Ruben D'Sa; Arthur Petron; Henrique Pondé de Oliveira Pinto; Alex Paino; Hyeonwoo Noh; et al. (CoRR, 2021)

Behavior Priors for Efficient Reinforcement Learning. - Dhruva Tirumala; Alexandre Galashov; Hyeonwoo Noh; Leonard Hasenclever; Razvan Pascanu; Jonathan Schwarz; Guillaume Desjardins; Wojciech Marian Czarnecki; Arun Ahuja; Yee Whye Teh; Nicolas Heess (J. Mach. Learn. Res., 2022)