Modeling Non-Stationary Asymmetric Lens Blur by Normal Sinh-Arcsinh Model. - Jinhyeok Jang; Joo Dong Yun; Seungjoon Yang (IEEE Trans. Image Process., 2016)

Color channel-wise recurrent learning for facial expression recognition. - Jinhyeok Jang; Dae Hoe Kim; Hyungil Kim; Yong Man Ro (ICASSP, 2017)

Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions. - Jinhyeok Jang; Hyunjoong Cho; Jaehong Kim 001; Jaeyeon Lee 001; Seungjoon Yang (CoRR, 2018)

Optimal Architecture for Deep Neural Networks with Heterogeneous Sensitivity. - Hyunjoong Cho; Jinhyeok Jang; Chanhyeok Lee; Seungjoon Yang (CoRR, 2018)

Neural Networks with Activation Networks. - Jinhyeok Jang; Jaehong Kim 001; Jaeyeon Lee 001; Seungjoon Yang (CoRR, 2018)

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)

Facial Attribute Recognition by Recurrent Learning With Visual Fixation. - Jinhyeok Jang; Hyunjoong Cho; Jaehong Kim 001; Jaeyeon Lee 001; Seungjoon Yang (IEEE Trans. Cybern., 2019)

ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly. - Jinhyeok Jang; Dohyung Kim 004; Cheonshu Park; Minsu Jang; Jaeyeon Lee 001; Jaehong Kim 001 (IROS, 2020)

Deep neural networks with a set of node-wise varying activation functions. - Jinhyeok Jang; Hyunjoong Cho; Jaehong Kim 001; Jaeyeon Lee 001; Seungjoon Yang (Neural Networks, 2020)

Efficient architecture for deep neural networks with heterogeneous sensitivity. - Hyunjoong Cho; Jinhyeok Jang; Chanhyeok Lee; Seungjoon Yang (Neural Networks, 2021)

Real-world Validation Study of Daily Activity Detection for the Elderly. - Miyoung Cho; Jinhyeok Jang; Jaeyeon Lee 001; Minsu Jang; Dohyung Kim 004; Jaehong Kim 001 (RO-MAN, 2022)

HDOP and VDOP Analysis in an Ideal Placement Environment for Dual GNSSs. - Jinhyeok Jang; Dana Park; Sangkyung Sung; Young Jae Lee (Sensors, 2022)

Learning to Boost Training by Periodic Nowcasting Near Future Weights. - Jinhyeok Jang; Woo-han Yun; Won Hwa Kim; Youngwoo Yoon; Jaehong Kim 001; Jaeyeon Lee 001; ByungOk Han (ICML, 2023)

Video-Based Gait Analysis for Assessing Alzheimer's Disease and Dementia with Lewy Bodies. - Diwei Wang; Chaima Zouaoui; Jinhyeok Jang; Hassen Drira; Hyewon Seo (AMAI@MICCAI, 2023)

Deep emotion change detection via facial expression analysis. - ByungOk Han; Cheol-Hwan Yoo; Ho-Won Kim 002; Jang-Hee Yoo; Jinhyeok Jang (Neurocomputing, 2023)

Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role. - Jinhyeok Jang; Chan-Hyun Youn; Minsu Jeon; Changha Lee (AAAI, 2024)

Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-Wise Hidden Bias. - Jinhyeok Jang; ByungOk Han; Jaehong Kim 001; Chan-Hyun Youn (ECCV (21), 2024)

A Dual Process VLA: Efficient Robotic Manipulation Leveraging VLM. - ByungOk Han; Jaehong Kim 001; Jinhyeok Jang (CoRR, 2024)

Evaluating Human-Care Robot Services for the Elderly: An Experimental Study. - Miyoung Cho; Do-Hyung Kim 004; Minsu Jang; Jaeyeon Lee 001; Jaehong Kim 001; Woo-han Yun; Youngwoo Yoon; Jinhyeok Jang; Chankyu Park; Woo-Ri Ko; Jaeyoon Jang; Ho-Sub Yoon; et al. (Int. J. Soc. Robotics, 2024)

Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning. - Jinhyeok Jang; Jaehong Kim 001; Chan-Hyun Youn (AAAI, 2025)

Learning from Oblivion: Predicting Knowledge Overflowed Weights via Retrodiction of Forgetting. - Jinhyeok Jang; Jaehong Kim; Jung Uk Kim (CoRR, 2025)