Breast tissue removal for enhancing microcalcification cluster detection in mammograms. - Wissam J. Baddar; Dae Hoe Kim; Yong Man Ro (BHI, 2014)

Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume. - Dae Hoe Kim; Seong-Tae Kim 001; Wissam J. Baddar; Yong Man Ro (ICIP, 2015)

Human action recognition using time-invariant key-trajectories describing spatio-temporal salient motion. - Jeong-Jik Seo; Wissam J. Baddar; Dae Hoe Kim; Yong Man Ro (ICIP, 2015)

Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes. - Wissam J. Baddar; Eun Joon Kim; Dae Hoe Kim; Yong Man Ro (Computer-Aided Diagnosis, 2015)

High-Speed Periodic Motion Reconstruction Using an Off-the-shelf Camera with Compensation for Rolling Shutter Effect. - Jeong-Jik Seo; Wissam J. Baddar; Hyungil Kim; Yong Man Ro (PCM (2), 2015)

Bilateral hemiface feature representation learning for pose robust facial expression recognition. - Wissam J. Baddar; Yong Man Ro (APSIPA, 2016)

A deep facial landmarks detection with facial contour and facial components constraint. - Wissam J. Baddar; Jisoo Son; Dae Hoe Kim; Seong-Tae Kim 001; Yong Man Ro (ICIP, 2016)

Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations. - Dae Hoe Kim; Wissam J. Baddar; Yong Man Ro (ACM Multimedia, 2016)

Collaborative expression representation using peak expression and intra class variation face images for practical subject-independent emotion recognition in videos. - Seung-Ho Lee; Wissam J. Baddar; Yong Man Ro (Pattern Recognit., 2016)

Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition. - Wissam J. Baddar; Dae Hoe Kim; Yong Man Ro (MMM (1), 2017)

Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder. - Hak Gu Kim; Wissam J. Baddar; Heoun-taek Lim; Hyunwook Jeong; Yong Man Ro (VRST, 2017)

Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data. - Geonmo Gu; Seong Tae Kim 001; Ki Hyun Kim; Wissam J. Baddar; Yong Man Ro (CoRR, 2017)

Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image. - Wissam J. Baddar; Geonmo Gu; Sangmin Lee 001; Yong Man Ro (CoRR, 2017)

Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly Prediction. - Wissam J. Baddar; Yong Man Ro (AAAI, 2018)

Teacher and Student Joint Learning for Compact Facial Landmark Detection Network. - Hong Joo Lee 001; Wissam J. Baddar; Hak Gu Kim; Seong Tae Kim 001; Yong Man Ro (MMM (1), 2018)

Convolution with Logarithmic Filter Groups for Efficient Shallow CNN. - Tae Kwan Lee; Wissam J. Baddar; Seong Tae Kim 001; Yong Man Ro (MMM (1), 2018)

Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition. - Wissam J. Baddar; Yong Man Ro (AAAI, 2019)

Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition. - Dae Hoe Kim; Wissam J. Baddar; Jinhyeok Jang; Yong Man Ro (IEEE Trans. Affect. Comput., 2019)

Encoding features robust to unseen modes of variation with attentive long short-term memory. - Wissam J. Baddar; Yong Man Ro (Pattern Recognit., 2020)

Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity Utilization. - Wissam J. Baddar; Seungju Han 001; Seon-Min Rhee; Jae-Joon Han (CoRR, 2021)

On-the-Fly Facial Expression Prediction Using LSTM Encoded Appearance-Suppressed Dynamics. - Wissam J. Baddar; Sangmin Lee 001; Yong Man Ro (IEEE Trans. Affect. Comput., 2022)

Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation. - Byungjai Kim; Chanho Ahn; Wissam J. Baddar; Kikyung Kim; Huijin Lee; Saehyun Ahn; Seungju Han 001; Sungjoo Suh; Eunho Yang (ICLR, 2025)