Sunok Kim

Orcid: 0000-0002-9665-4214

According to our database1, Sunok Kim authored at least 27 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Unsupervised Deep Asymmetric Stereo Matching with Spatially-Adaptive Self-Similarity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Shape-Robust SAR Ship Detection via Context-Preserving Augmentation and Deep Contrastive RoI Learning.
IEEE Geosci. Remote. Sens. Lett., 2022

Deep Cascade Network for Noise-Robust SAR Ship Detection With Label Augmentation.
IEEE Geosci. Remote. Sens. Lett., 2022

Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection.
CoRR, 2022

Meta-confidence estimation for stereo matching.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Mask-Guided Attention and Episode Adaptive Weights for Few-Shot Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Adversarial Confidence Estimation Networks for Robust Stereo Matching.
IEEE Trans. Intell. Transp. Syst., 2021

Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation.
CoRR, 2021

Adaptive confidence thresholding for monocular depth estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Looking Into Your Speech: Learning Cross-Modal Affinity for Audio-Visual Speech Separation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Multi-Modal Recurrent Attention Networks for Facial Expression Recognition.
IEEE Trans. Image Process., 2020

Adaptive confidence thresholding for semi-supervised monocular depth estimation.
CoRR, 2020

2019
Unified Confidence Estimation Networks for Robust Stereo Matching.
IEEE Trans. Image Process., 2019

Context-Aware Emotion Recognition Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semantic Attribute Matching Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos.
Proceedings of the 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, 2018

Audio-Visual Attention Networks for Emotion Recognition.
Proceedings of the 2018 Workshop on Audio-Visual Scene Understanding for Immersive Multimedia, 2018

Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Feature Augmentation for Learning Confidence Measure in Stereo Matching.
IEEE Trans. Image Process., 2017

Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning.
IEEE Trans. Image Process., 2017

Lazy dragging: effortless bounding-box drawing for touch-screen devices.
IEEE Trans. Consumer Electron., 2017

Deep stereo confidence prediction for depth estimation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2015
Learning depth from a single image using visual-depth words.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Structure-aware depth super-resolution using Gaussian mixture model.
Proceedings of the Three-Dimensional Image Processing, 2015


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