A Two Phase Approach for Pedestrian Detection. - Soonmin Hwang; Tae Hyun Oh; In-So Kweon (ACCV Workshops (2), 2014)

Multispectral pedestrian detection: Benchmark dataset and baseline. - Soonmin Hwang; Jaesik Park; Namil Kim; Yukyung Choi; In So Kweon (CVPR, 2015)

Artrieval: Painting retrieval without expert knowledge. - Namil Kim; Yukyung Choi; Soonmin Hwang; In-So Kweon (ICIP, 2015)

Low-Cost Synchronization for Multispectral Cameras. - Soonmin Hwang; Yukyung Choi; Namil Kim; Kibaek Park; Jae Shin Yoon; In So Kweon (URAI, 2015)

Geometrical calibration of multispectral calibration. - Namil Kim; Yukyung Choi; Soonmin Hwang; Kibaek Park; Jae Shin Yoon; In So Kweon (URAI, 2015)

Thermal Image Enhancement using Convolutional Neural Network. - Yukyung Choi; Namil Kim; Soonmin Hwang; In So Kweon (IROS, 2016)

Thermal-infrared based drivable region detection. - Jae Shin Yoon; Kibaek Park; Soonmin Hwang; Namil Kim; Yukyung Choi; François Rameau; In-So Kweon (Intelligent Vehicles Symposium, 2016)

Fast multiple objects detection and tracking fusing color camera and 3D LIDAR for intelligent vehicles. - Soonmin Hwang; Namil Kim; Yukyung Choi; Seokju Lee; In-So Kweon (URAI, 2016)

Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision. - Namil Kim; Yukyung Choi; Soonmin Hwang; In So Kweon (AAAI, 2018)

StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection. - Sanghyun Woo; Soonmin Hwang; In So Kweon (WACV, 2018)

KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving. - Yukyung Choi; Namil Kim; Soonmin Hwang; Kibaek Park; Jae Shin Yoon; Kyounghwan An; In So Kweon (IEEE Trans. Intell. Transp. Syst., 2018)

Gated bidirectional feature pyramid network for accurate one-shot detection. - Sanghyun Woo; Soonmin Hwang; Ho-Deok Jang; In So Kweon (Mach. Vis. Appl., 2019)

T2FPV: Constructing High-Fidelity First-Person View Datasets From Real-World Pedestrian Trajectories. - Benjamin Stoler; Meghdeep Jana; Soonmin Hwang; Jean Oh (CoRR, 2022)

TransDSSL: Transformer Based Depth Estimation via Self-Supervised Learning. - Daechan Han; Jeongmin Shin; Namil Kim; Soonmin Hwang; Yukyung Choi (IEEE Robotics Autom. Lett., 2022)

Instant Domain Augmentation for LiDAR Semantic Segmentation. - Kwonyoung Ryu; Soonmin Hwang; Jaesik Park (CVPR, 2023)

Empirical Study: Monocular Depth Estimation from RGB, NIR, Thermal Image in Adverse Weather Conditions. - Ukcheol Shin; Soonmin Hwang; Jean Oh (ICTC, 2023)

T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction. - Benjamin Stoler; Meghdeep Jana; Soonmin Hwang; Jean Oh (IROS, 2023)

SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving. - Benjamin Stoler; Ingrid Navarro; Meghdeep Jana; Soonmin Hwang; Jonathan Francis; Jean Oh (IV, 2024)

DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation. - Jisoo Kim 006; Jungbin Cho; Joonho Park; Soonmin Hwang; Da Eun Kim; Geon Kim; Youngjae Yu (AAAI, 2025)

Efficient Occupancy Prediction with Instance-Level Attention. - Sungjin Park; Jaeha Song; Soonmin Hwang (ICAIIC, 2025)

Leveraging Camera-Based Methods for Enhanced Feature-to-World Mapping. - Jaeha Song; Sungjin Park; Soonmin Hwang (ICAIIC, 2025)

MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments. - Zhixuan Liu; Haokun Zhu; Rui Chen; Jonathan Francis; Soonmin Hwang; Ji Zhang 003; Jean Oh (CoRR, 2025)

Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation. - Seokjun Kwon; Jeongmin Shin; Namil Kim; Soonmin Hwang; Yukyung Choi (CoRR, 2025)