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  • Seoul National University
  • Seoul, Republic of Korea

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Official code for "SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning" (ICML 2023)

Python 26 6 Updated Dec 21, 2023

"SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network" (ICRA 2023)

Python 32 1 Updated Mar 8, 2023

"S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning" (NeurIPS 2022)

Python 3 1 Updated Mar 1, 2023

"FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow" (CVPRW 2022)

Python 8 1 Updated Jun 6, 2022

"Learning a Geometric Representation for Depth Estimation via Gradient Field and Contrastive Loss" (ICRA 2021)

Python 26 7 Updated Jun 9, 2022

"DACL: Learning a Domain-Agnostic Contrastive Representation for Dense Prediction beyond Distribution Gap" (arXiv)

Python 16 Updated Mar 13, 2023

"Gaussian RAM: Lightweight Image Classification via Stochastic Retina Inspired Glimpse and Reinforcement Learning" (ICCAS 2020)

Python 15 4 Updated Jun 7, 2022

Optimal trajectory generation library given equality and inequality constraints (C++/Matlab)

HTML 219 53 Updated Dec 29, 2020

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation presented at ICCV 2019.

Python 163 15 Updated Oct 3, 2023