Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning


Mar 10, 2022
Jaehoon Choi, Dongki Jung, Yonghan Lee, Deokhwa Kim, Dinesh Manocha, Donghwan Lee

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes


Aug 12, 2021
Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments


Nov 10, 2020
Jaehoon Choi, Dongki Jung, Yonghan Lee, Deokhwa Kim, Dinesh Manocha, Donghwan Lee

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Self-supervised Monocular Depth Estimation with Semantic-aware Depth Features


Oct 13, 2020
Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction


Oct 06, 2020
Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Arbitrary Style Transfer using Graph Instance Normalization


Oct 06, 2020
Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection


Sep 02, 2019
Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim

Add code

* ICCV 2019 (oral) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation


Sep 02, 2019
Jaehoon Choi, Taekyung Kim, Changick Kim

Add code

* Accepted to International Conference on Computer Vision (ICCV) 2019 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation


Aug 01, 2019
Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim

Add code

* Accepted to British Machine Vision Conference (BMVC) 2019 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning User Preferences and Understanding Calendar Contexts for Event Scheduling


Oct 17, 2018
Donghyeon Kim, Jinhyuk Lee, Donghee Choi, Jaehoon Choi, Jaewoo Kang

Add code

* CIKM 2018 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>