PUBLICATION

International Journal

Jiyoung Lee, Seungryong Kim, Sunok Kim, and Kwanghoon Sohn, "Learning Discriminative Action Tubelets for Weakly-Supervised Action Detection" (Under Review) 

Sunok Kim, Seungryong Kim, Dongbo Min, Pascal Frossard, and Kwanghoon Sohn, "Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation," IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)

Keunhoon Choi, Taeyong Song, Sunok Kim, Hyunsung Jang, Namkoo Ha, and Kwanghoon Sohn, "Deep Cascade Network for Noise-Robust SAR Ship Detection with Label Augmentation," IEEE Geoscience and Remote Sensing Letters, 2022. (Accepted)

Taeyong Song, Sunok Kim, and Kwanghoon Sohn, "Shape-Robust SAR Ship Detection via Context-Preserving Augmentation and Deep Contrastive RoI Learning," IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022. (Imapct Factor: 4.64)

Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, and Stefano Mattoccia, "On the Confidence of Stereo Matching in a Deep-Learning Era: a Quantitative Evaluation," IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 9, pp. 5293-5313, Sep. 2022. (Imapct Factor: 24.314)

Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn, “Tri-modal Recurrent Attention Networks for Emotion Recognition,” IEEE Trans. on Image Processing (TIP), 2020. (Impact Factor: 9.340)

Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Adversarial Confidence Estimation Networks for Robust Stereo Matching,” IEEE Trans. on Intelligent Transportation Systems (TITS), 2020. (Impact Factor: 6.319)

Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Unified Confidence Estimation Networks for Robust Stereo Matching,” IEEE Trans. on Image Processing (TIP), vol. 28, no. 3, pp. 1299-1313, Mar. 2019. (Impact Factor: 9.340)

Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Feature Augmentation for Learning Confidence Measure in Stereo Matching,” IEEE Trans. on Image Processing (TIP), vol. 26, no. 12, pp. 6019-6033, Dec. 2017. (Impact Factor: 9.340)

Kyuwon Kim, Sunok Kim, and Kwanghoon Sohn, “Lazy dragging: Effortless bounding-box drawing for touch-screen devices” IEEE Trans. on Consumer Electronics (TCE), vol. 63, no. 2, pp. 93-100, May 2017. (Impact Factor: 2.739)

Seungryong Kim, Rui Cai, Kihong Park, Sunok Kim, and Kwanghoon Sohn, “Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning,” IEEE Trans. on Image Processing (TIP), vol. 26, no. 2, pp. 884-899, Feb. 2017. (Impact Factor: 9.340)

International Conference

Jini Yang, Minjung Yoo, and Sunok Kim, "Stereo Confidence Estimation with Pyramid Pooling Transformer," in Proc. IEEE International Conference on Consumer Electronics Asia (ICCE-Asia), 2023.

Taeyong Song, Sunok Kim, and Kwanghoon Sohn, "Unsupervised Deep Asymmetric Stereo Matching with Spatially-Adaptive Self-Similarity," in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2023.

Byoungjun Kim, Minjung Yoo, and Sunok Kim, "SAR Ship Detection with Land Detection Networks and Land Masking," in Proc. IEEE International Conference on Consumer Electronics Asia (ICCE-Asia), 2022.

Jaejun Do, Minjung Yoo, and Sunok Kim, "A Semi-supervised SAR Image Classification with Data Augmentation and Pseudo Labeling," in Proc. IEEE International Conference on Consumer Electronics Asia (ICCE-Asia), 2022.

Hyeongjun Kwon, Taeyong Song, Sunok Kim, and Kwanghoon Sohn, "Mask-Guided Attention and Episode Adaptive Weights for Few-shot Segmentation," in Proc. IEEE International Conference on Image Processing (ICIP), 2022.

Seungryong Kim, Matteo Poggi, Sunok Kim, Kwanghoon Sohn, and Stefano Mattoccia, "Meta-Confidence Estimation for Stereo Matching," in Proc. IEEE International Conference on Robotics and Automation (ICRA), 2022.

Taeyong Song, Sunok Kim, Sungtai Kim, Jaeseok Lee, and Kwanghoon Sohn, "Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection," in Proc. IEEE Radar Conference, 2022.

Hyesong Choi, Hunsang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Kwanghoon Sohn, and Dongbo Min, "Adaptive Confidence Thresholding for Monocular Depth Estimation," in Proc. IEEE International Conference on Computer Vision (ICCV), Oct. 2021.

Jiyoung Lee, Soo-Whan Chung, Sunok Kim, Hong-Goo Kang, Kwanghoon Sohn, "Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation," in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2021.

Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, and Kwanghoon Sohn, "Context-Aware Emotion Recognition Networks," in Proc. IEEE International Conference on Computer Vision (ICCV), Nov. 2019.

Sunok Kim, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn, "LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation," in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2019. (Oral Presentation)

Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, and Kwanghoon Sohn, "Semantic Attribute Matching Networks," in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2019.

Jungin Park, Sangryul Jeon, Seungryong Kim, Jiyoung Lee, Sunok Kim, and Kwanghoon Sohn, "Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos," in Proc. ACM International Conference on Multimedia Workshops (ACM MM Workshop), Oct. 2018.

Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn, "Audio-Visual Attention Networks for Emotion Recognition," in Proc. ACM International Conference on Multimedia Workshops (ACM MM Workshop), Oct. 2018.

Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn, "Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Apr. 2018.

Sunok Kim, Dongbo Min, Bumsub Ham, Seungryong Kim, and Kwanghoon Sohn, "Deep Stereo Confidence Prediction for Depth Estimation," in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2017.

Kyuwon Kim, Sunok Kim, and Kwanghoon Sohn, "Lazy Dragging: Effortless Bounding-box Drawing for Touch-screen Devices," in Proc. IEEE International Conference on Consumer Electronics (ICCE), Jan. 2017.

Sunok Kim, Youngjung Kim, and Kwanghoon Sohn, "A study on the Effects of RGB-D Database Scale and Quality on Depth Analogy Performance," in Proc. SPIE Three-Dimensional Imaging, Visualization, and Display, Apr. 2016. (Invited paper)

Sunok Kim, Sunghwan Choi, and Kwanghoon Sohn, "Learning Depth from a Single Image Using Visual-Depth Words," in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2015.

Sunok Kim, Changjae Oh, Youngjung Kim, and Kwanghoon Sohn, "Structure-Aware Depth Super-Resolution using Gaussian Mixture Model," in Proc. Electronic Imaging (EI), Feb. 2015.

Domestic Journal

Jaekwang Park, Sunok Kim, Kwanghoon Sohn, and Dongbo Min, "Confidence Measure of Depth Map for Outdoor RGB+D Database," Journal of Korea Multimedia Society, Vol. 19, No. 9, pp. 1647-1658, 2016.

Domestic Conference

송태용, 김선옥, 김성태, 이재석, 손광훈, "객체 수준 데이터 증강을 통한 딥러닝 기반 SAR 선박 탐지," 한국전자파학회 추계학술대회, 2021년 11월.

최근훈, 김선옥, 김성태, 이재석, 손광훈, "경량 딥러닝 네트워크를 이용한 SAR 영상 잡음 제거 기법," 한국전자파학회 추계학술대회, 2021년 11월.

정형주, 오창재, 김영중, 김선옥, 손광훈, "패널티 방법을 이용한 고속 경계 보존 평활화 기법," 대한전자공학회 하계학술대회, 2015년 6월.

김선옥, 손광훈, "컬러-깊이 영상 학습에 기반한 깊이 영상 복원," 한국정보전자통신기술학회 춘계학술대회, 2015년 5월.

김선옥, 최성환, 오창재, 김영중, 손광훈, "공간 및 시간 영역에서의 결합 양방향 필터링을 통한 깊이 영상의 개선," 대한전자공학회 하계학술대회, 2014년 6월.