A fusion approach for robust visual object tracking in crowd scenes. - Tae Hyun Oh; Kyungdon Joo; Junsik Kim 001; Jaesik Park; In-So Kweon (URAI, 2014)

Globally Optimal Manhattan Frame Estimation in Real-Time. - Kyungdon Joo; Tae-Hyun Oh; Junsik Kim 001; In-So Kweon (CVPR, 2016)

Human body part classification from optical flow. - Junsik Kim 001; Kyungdon Joo; Tae Hyun Oh; In-So Kweon (URAI, 2016)

Real-time Robust Manhattan Frame Estimation: Global Optimality and Applications. - Kyungdon Joo; Tae-Hyun Oh; Junsik Kim 001; In-So Kweon (CoRR, 2016)

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition. - Seokju Lee; Junsik Kim 001; Jae Shin Yoon; Seunghak Shin; Oleksandr Bailo; Namil Kim; Tae-Hee Lee; Hyun Seok Hong; Seung-Hoon Han; In So Kweon (ICCV, 2017)

Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks. - Jae Shin Yoon; François Rameau; Junsik Kim 001; Seokju Lee; Seunghak Shin; In So Kweon (ICCV, 2017)

Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. - Junsik Kim 001; Seokju Lee; Tae-Hyun Oh; In So Kweon (AAAI, 2018)

Learning to Localize Sound Source in Visual Scenes. - Arda Senocak; Tae-Hyun Oh; Junsik Kim 001; Ming-Hsuan Yang 001; In So Kweon (CVPR, 2018)

On Learning Association of Sound Source and Visual Scenes. - Arda Senocak; Tae-Hyun Oh; Junsik Kim 001; Ming-Hsuan Yang 001; In So Kweon (CVPR Workshops, 2018)

Part-Based Player Identification Using Deep Convolutional Representation and Multi-Scale Pooling. - Arda Senocak; Tae-Hyun Oh; Junsik Kim 001; In So Kweon (CVPR Workshops, 2018)

Visuomotor Understanding for Representation Learning of Driving Scenes. - Seokju Lee; Junsik Kim 001; Tae-Hyun Oh; Yongseop Jeong; Donggeun Yoo; Stephen Lin 001; In So Kweon (BMVC, 2019)

Revisiting Residual Networks with Nonlinear Shortcuts. - Chaoning Zhang; François Rameau; Seokju Lee; Junsik Kim 001; Philipp Benz; Dawit Mureja Argaw; Jean-Charles Bazin; In So Kweon (BMVC, 2019)

Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. - Junsik Kim 001; Tae-Hyun Oh; Seokju Lee; Fei Pan; In So Kweon (CVPR, 2019)

Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time. - Kyungdon Joo; Tae-Hyun Oh; Junsik Kim 001; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

DeepPTZ: Deep Self-Calibration for PTZ Cameras. - Chaoning Zhang; François Rameau; Junsik Kim 001; Dawit Mureja Argaw; Jean-Charles Bazin; In So Kweon (WACV, 2020)

Motion-blurred Video Interpolation and Extrapolation. - Dawit Mureja Argaw; Junsik Kim 001; François Rameau; In So Kweon (AAAI, 2021)

Optical Flow Estimation from a Single Motion-blurred Image. - Dawit Mureja Argaw; Junsik Kim 001; François Rameau; Jae-Won Cho; In So Kweon (AAAI, 2021)

Restoration of Video Frames From a Single Blurred Image With Motion Understanding. - Dawit Mureja Argaw; Junsik Kim 001; François Rameau; Chaoning Zhang; In So Kweon (CVPR Workshops, 2021)

ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. - Chaoning Zhang; Philipp Benz; Dawit Mureja Argaw; Seokju Lee; Junsik Kim 001; François Rameau; Jean-Charles Bazin; In So Kweon (WACV, 2021)

Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination. - Jongmin Yu; Hyeontaek Oh; Minkyung Kim 001; Junsik Kim 001 (CoRR, 2021)

Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications. - Arda Senocak; Tae-Hyun Oh; Junsik Kim 001; Ming-Hsuan Yang 001; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation. - Fei Pan; Sungsu Hur; Seokju Lee; Junsik Kim 001; In So Kweon (ECCV (34), 2022)

Learning Sound Localization Better from Semantically Similar Samples. - Arda Senocak; Hyeonggon Ryu; Junsik Kim 001; In So Kweon (ICASSP, 2022)

Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. - Minkyung Kim 001; Junsik Kim 001; Jongmin Yu; Jun Kyun Choi (ICDM (Workshops), 2022)

Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. - Jongmin Yu; Junsik Kim 001; Minkyung Kim 001; Hyeontaek Oh (ICRA, 2022)

Less Can Be More: Sound Source Localization With a Classification Model. - Arda Senocak; Hyeonggon Ryu; Junsik Kim 001; In So Kweon (WACV, 2022)

Audio-Visual Fusion Layers for Event Type Aware Video Recognition. - Arda Senocak; Junsik Kim 001; Tae-Hyun Oh; Hyeonggon Ryu; Dingzeyu Li; In So Kweon (CoRR, 2022)

Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection. - Fei Pan; François Rameau; Junsik Kim 001; In So Kweon (CoRR, 2022)

Sound Source Localization is All about Cross-Modal Alignment. - Arda Senocak; Hyeonggon Ryu; Junsik Kim 001; Tae-Hyun Oh; Hanspeter Pfister; Joon Son Chung (ICCV, 2023)

Event-Specific Audio-Visual Fusion Layers: A Simple and New Perspective on Video Understanding. - Arda Senocak; Junsik Kim 001; Tae-Hyun Oh; Dingzeyu Li; In So Kweon (WACV, 2023)

Active anomaly detection based on deep one-class classification. - Minkyung Kim 001; Junsik Kim 001; Jongmin Yu; Jun Kyun Choi (Pattern Recognit. Lett., 2023)

Joint-Task Regularization for Partially Labeled Multi-Task Learning. - Kento Nishi; Junsik Kim 001; Wanhua Li 001; Hanspeter Pfister (CVPR, 2024)

$ mathrm R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding. - Ye Liu 002; Jixuan He; Wanhua Li 001; Junsik Kim 001; Donglai Wei 001; Hanspeter Pfister; Chang Wen Chen (ECCV (41), 2024)

Multimodal Learning for Embryo Viability Prediction in Clinical IVF. - Junsik Kim 001; Zhiyi Shi; Davin Jeong; Johannes Knittel; Helen Y. Yang; Yonghyun Song; Wanhua Li 001; Yicong Li 002; Dalit Ben-Yosef; Daniel Needleman; Hanspeter Pfister (MICCAI (5), 2024)

MoRA: LoRA Guided Multi-modal Disease Diagnosis with Missing Modality. - Zhiyi Shi; Junsik Kim 001; Wanhua Li 001; Yicong Li 002; Hanspeter Pfister (MICCAI (3), 2024)

Blurry Video Compression A Trade-off between Visual Enhancement and Data Compression. - Dawit Mureja Argaw; Junsik Kim 001; In So Kweon (WACV, 2024)

R2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding. - Ye Liu 002; Jixuan He; Wanhua Li 001; Junsik Kim 001; Donglai Wei 001; Hanspeter Pfister; Chang Wen Chen (CoRR, 2024)

Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment. - Arda Senocak; Hyeonggon Ryu; Junsik Kim 001; Tae-Hyun Oh; Hanspeter Pfister; Joon Son Chung (CoRR, 2024)

Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion. - Jixuan He; Wanhua Li 001; Ye Liu 002; Junsik Kim 001; Donglai Wei 001; Hanspeter Pfister (CoRR, 2024)

ENInst: Enhancing weakly-supervised low-shot instance segmentation. - Moon Ye-Bin; Dongmin Choi; Yongjin Kwon; Junsik Kim 001; Tae-Hyun Oh (Pattern Recognit., 2024)

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. - Minkyung Kim 001; Jongmin Yu; Junsik Kim 001; Tae-Hyun Oh; Jun Kyun Choi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Weakly Supervised Contrastive Learning for Unsupervised Vehicle Reidentification. - Jongmin Yu; Hyeontaek Oh; Minkyung Kim 001; Junsik Kim 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models. - Salma Abdel Magid; Weiwei Pan; Simon Warchol; Grace Guo; Junsik Kim 001; Mahia Rahman; Hanspeter Pfister (Trans. Mach. Learn. Res., 2025)

DualEdit: Dual Editing for Knowledge Updating in Vision-Language Models. - Zhiyi Shi; Binjie Wang; Chongjie Si; Yichen Wu; Junsik Kim 001; Hanspeter Pfister (CoRR, 2025)

Spatial-Temporal Pre-Training for Embryo Viability Prediction Using Time-Lapse Videos. - Zhiyi Shi; Junsik Kim 001; Helen Y. Yang; Yonghyun Song; Hyun-Jic Oh; Dalit Ben-Yosef; Daniel Needleman; Hanspeter Pfister (CoRR, 2025)

Toward Interactive Sound Source Localization: Better Align Sight and Sound! - Arda Senocak; Hyeonggon Ryu; Junsik Kim 001; Tae-Hyun Oh; Hanspeter Pfister; Joon Son Chung (IEEE Trans. Pattern Anal. Mach. Intell., 2025)