LEAPSE: Learning Environment Affordances for 3D Human Pose and Shape Estimation

IEEE Transactions on Image Processing (TIP), vol. 33, pp. 3285-3300, May 2024 [paper]

Fangzheng Tian and Sungchan Kim

Diagnosing Oral and Maxillofacial Diseases using Deep Learning

Scientific Reports, vol. 14, 2497, January 2024 [paper]

Junegyu Kang, Van Nhat Thang Le, Dae‑Woo Lee, and Sungchan Kim

Globally-Robust Instance Identification and Locally-Accurate Keypoint Alignment for Multi-Person Pose Estimation

ACM International Conference on Multimedia (MM), October 2023 [paper][code][demo]

Fangzheng Tian and Sungchan Kim

Two-Step Approach toward Alignment of Spatiotemporal Wide-Area Unmanned Aerial Vehicle Imageries

Drones, vol. 7, no. 131, February 2023 [paper]

Hyeonseok Lee, Semo Kim, Dohun Lim, Seoung-Hun Bae, Lae-Hyong Kang, and Sungchan Kim

SSPNet: Learning Spatiotemporal Saliency Prediction Networks for Visual Tracking

Information Sciences, vol. 575, pp. 399-416, October 2021 [paper]

Hyeonseok Lee and Sungchan Kim

Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021 [paper][arXiv][code]

Dohun Lim, Hyeonseok Lee, and Sungchan Kim

Explaining Neural Networks using Attentive Knowledge Distillation

Sensors, February 2021 [paper]

Hyeonseok Lee and Sungchan Kim

BP-GAN: Interpretable Human Branchpoint Prediction using Attentive Generative Adversarial Networks

IEEE ACCESS, May 2020 [paper]

Hyeonseok Lee, Sangwoo Yeom, and Sungchan Kim

Salient Explanation for Fine-Grained Classification

IEEE ACCESS, March 2020 [paper]

Kanghan Oh, Sungchan Kim, and Il-Seok Oh

Robust Appearance Feature Learning using Pixel-wise Discrimination for Visual Tracking

ETRI Journal, Volume 41, Issue 4, pp. 483-493, May 2019 [paper]

Minji Kim and Sungchan Kim