Development of deep learning-based facial expression recognition system. - Heechul Jung; Sihaeng Lee; Sunjeong Park; Byungju Kim; Junmo Kim 002; Injae Lee; Chunghyun Ahn (FCV, 2015)

Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. - Heechul Jung; Sihaeng Lee; Junho Yim; Sunjeong Park; Junmo Kim 002 (ICCV, 2015)

Deep Temporal Appearance-Geometry Network for Facial Expression Recognition. - Heechul Jung; Sihaeng Lee; Sunjeong Park; Injae Lee; Chunghyun Ahn; Junmo Kim 002 (CoRR, 2015)

Refine pedestrian detections by referring to features in different ways. - Jaemyung Lee 003; Sihaeng Lee; Youngdong Kim; Janghyeon Lee 001; Junmo Kim 002 (Intelligent Vehicles Symposium, 2017)

An Exploration of the Power of Max Switch Locations in CNNs. - Jeongwoo Ju; Junho Yim; Sihaeng Lee; Junmo Kim 002 (RiTA, 2017)

Leveraging Contextual Information for Monocular Depth Estimation. - Doyeon Kim; Sihaeng Lee; Janghyeon Lee 001; Junmo Kim 002 (IEEE Access, 2020)

Deep Architecture With Cross Guidance Between Single Image and Sparse LiDAR Data for Depth Completion. - Sihaeng Lee; Janghyeon Lee 001; Doyeon Kim; Junmo Kim 002 (IEEE Access, 2020)

Patch-Wise Attention Network for Monocular Depth Estimation. - Sihaeng Lee; Janghyeon Lee 001; Byungju Kim; Eojindl Yi; Junmo Kim 002 (AAAI, 2021)

L-Verse: Bidirectional Generation Between Image and Text. - Taehoon Kim; Gwangmo Song; Sihaeng Lee; Sangyun Kim; Yewon Seo; Soonyoung Lee; Seung Hwan Kim; Honglak Lee; Kyunghoon Bae (CVPR, 2022)

Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. - Sihaeng Lee; Eojindl Yi; Janghyeon Lee 001; Junmo Kim 002 (IROS, 2022)

Fully Convolutional Transformer with Local-Global Attention. - Sihaeng Lee; Eojindl Yi; Janghyeon Lee 001; Jinsu Yoo; Honglak Lee; Seung Hwan Kim (IROS, 2022)

TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. - Beomyoung Kim; Janghyeon Lee 001; Sihaeng Lee; Doyeon Kim; Junmo Kim 002 (WACV, 2022)

Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution. - Jinsu Yoo; Taehoon Kim; Sihaeng Lee; Seung Hwan Kim; Honglak Lee; Tae Hyun Kim 006 (CoRR, 2022)

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution. - Jinsu Yoo; Taehoon Kim; Sihaeng Lee; Seung Hwan Kim; Honglak Lee; Tae Hyun Kim 006 (WACV, 2023)

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. - Taehoon Kim; Pyunghwan Ahn; Sangyun Kim; Sihaeng Lee; Mark Marsden; Alessandra Sala; Seung Hwan Kim; Bohyung Han; Kyoung Mu Lee; Honglak Lee; Kyounghoon Bae; Xiangyu Wu; et al. (CVPR Workshops, 2024)

Large-Scale Bidirectional Training for Zero-Shot Image Captioning. - Taehoon Kim; Mark Marsden; Pyunghwan Ahn; Sangyun Kim; Sihaeng Lee; Alessandra Sala; Seung Hwan Kim (CVPR Workshops, 2024)

MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations. - Kyungho Bae; Jinhyung Kim; Sihaeng Lee; Soonyoung Lee; Gunhee Lee; Jinwoo Choi (CVPR, 2025)

ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams. - Chris Dongjoo Kim; Jihwan Moon 002; Sangwoo Moon 001; Heeseung Yun; Sihaeng Lee; Aniruddha Kembhavi; Soonyoung Lee; Gunhee Kim; Sangho Lee 008; Christopher Clark (CVPR, 2025)