Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features. - Guisik Kim; Junseok Kwon (BMVC, 2017)

Effective Visual Tracking Using Multi-Block and Scale Space Based on Kernelized Correlation Filters. - Soowoong Jeong; Guisik Kim; Sangkeun Lee 001 (Sensors, 2017)

Adaptive Patch Based Convolutional Neural Network for Robust Dehazing. - Guisik Kim; Suhyeon Ha; Junseok Kwon (ICIP, 2018)

Bidirectional Deep Residual learning for Haze Removal. - Guisik Kim; Jinhee Park 001; Suhyeon Ha; Junseok Kwon (CVPR Workshops, 2019)

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Nam Hyung Joon; Yu Seung Won; Guisik Kim; Dokyeong Kwon; Chih-Chung Hsu; Chia-Hsiang Lin; Yuanfei Huang; Xiaopeng Sun; Wen Lu; Jie Li 001; Martin Danelljan; et al. (ICCV Workshops, 2019)

Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With Task-Driven Training. - Guisik Kim; Dokyeong Kwon; Junseok Kwon (ICIP, 2019)

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Manuel Fritsche; Shuhang Gu; Kuldeep Purohit; Praveen Kandula; Maitreya Suin; A. N. Rajagopalan 001; Nam Hyung Joon; Yu Seung Won; Guisik Kim; et al. (CoRR, 2019)

Robust visual tracking with adaptive initial configuration and likelihood landscape analysis. - Guisik Kim; Junseok Kwon (IET Comput. Vis., 2019)

DALE : Dark Region-Aware Low-light Image Enhancement. - Dokyeong Kwon; Guisik Kim; Junseok Kwon (BMVC, 2020)

NTIRE 2020 Challenge on Image and Video Deblurring. - Seungjun Nah; Sanghyun Son 002; Radu Timofte; Kyoung Mu Lee; Yu Tseng; Yu-Syuan Xu; Cheng-Ming Chiang; Yi-Min Tsai; Stephan Brehm; Sebastian A. Scherer; Dejia Xu; Yihao Chu; et al. (CVPR Workshops, 2020)

Robust person re-identification via graph convolution networks. - Guisik Kim; Dong Wook Shu; Junseok Kwon (Multim. Tools Appl., 2021)

Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing. - Guisik Kim; Sung Woo Park; Junseok Kwon (IEEE Trans. Image Process., 2021)

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. - Furkan Kinli; Sami Mentes; Baris Özcan; Furkan Kiraç; Radu Timofte; Yi Zuo; Zitao Wang; Xiaowen Zhang; Yu Zhu 004; Chenghua Li; Cong Leng; Jian Cheng 001; et al. (ECCV Workshops (3), 2022)

Learning to Intrinsic Image Filter for Instagram Filter Removal. - Seohyeon Lee; Guisik Kim; Junseok Kwon (ICTC, 2022)

Deep Illumination-Aware Dehazing With Low-Light and Detail Enhancement. - Guisik Kim; Junseok Kwon (IEEE Trans. Intell. Transp. Syst., 2022)

Style transfer with target feature palette and attention coloring. - Suhyeon Ha; Guisik Kim; Junseok Kwon (Multim. Tools Appl., 2022)

Deep Dehazing Powered by Image Processing Network. - Guisik Kim; Jinhee Park 001; Junseok Kwon (CVPR Workshops, 2023)

Dual Gradient Based Snow Attentive Desnowing. - Guisik Kim; Sungmin Cho; Dokyeong Kwon; Seohyeon Lee; Junseok Kwon (IEEE Access, 2023)

Self-Parameter Distillation Dehazing. - Guisik Kim; Junseok Kwon (IEEE Trans. Image Process., 2023)

Satellite Image Dehazing Via Masked Image Modeling and Jigsaw Transformation. - Guisik Kim; Choongsang Cho; Junseok Kwon (ECCV Workshops (9), 2024)

Satellite Image Dehazing Based on Dual Frequency Pass Networks. - Guisik Kim; Chungsang Cho; Joohyung Kang; Junseok Kwon (IEEE Geosci. Remote. Sens. Lett., 2024)

On the Importance of Dual-Space Augmentation for Domain Generalized Object Detection. - Hayoung Park; Choongsang Cho; Guisik Kim (WACV, 2025)

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection. - Taewoo Kim; Guisik Kim; Choongsang Cho; Young Han Lee (CoRR, 2025)