Junsik Kim

According to our database, Junsik Kim authored at least 41 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Weakly Supervised Contrastive Learning for Unsupervised Vehicle Reidentification.

Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim

IEEE Trans. Neural Networks Learn. Syst., November, 2024

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination.

Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi

IEEE Trans. Neural Networks Learn. Syst., October, 2024

ENInst: Enhancing weakly-supervised low-shot instance segmentation.

Moon Ye-Bin, Dongmin Choi, Yongjin Kwon, Junsik Kim, Tae-Hyun Oh

Pattern Recognit., January, 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, Mahia Rahman, Hanspeter Pfister

CoRR, 2024

Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment.

Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung

CoRR, 2024

R²-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding.

Ye Liu, Jixuan He, Wanhua Li, Junsik Kim, Donglai Wei, Hanspeter Pfister, Chang Wen Chen

CoRR, 2024

Blurry Video Compression A Trade-off between Visual Enhancement and Data Compression.

Dawit Mureja Argaw, Junsik Kim, In So Kweon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MoRA: LoRA Guided Multi-modal Disease Diagnosis with Missing Modality.

Zhiyi Shi, Junsik Kim, Wanhua Li, Yicong Li, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multimodal Learning for Embryo Viability Prediction in Clinical IVF.

Junsik Kim, Zhiyi Shi, Davin Jeong, Johannes Knittel, Helen Y. Yang, Yonghyun Song, Wanhua Li, Yicong Li, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Joint-Task Regularization for Partially Labeled Multi-Task Learning.

Kento Nishi, Junsik Kim, Wanhua Li, Hanspeter Pfister

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Active anomaly detection based on deep one-class classification.

Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi

Pattern Recognit. Lett., March, 2023

Event-Specific Audio-Visual Fusion Layers: A Simple and New Perspective on Video Understanding.

Arda Senocak, Junsik Kim, Tae-Hyun Oh, Dingzeyu Li, In So Kweon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Sound Source Localization is All about Cross-Modal Alignment.

Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection.

Fei Pan, François Rameau, Junsik Kim, In So Kweon

CoRR, 2022

Audio-Visual Fusion Layers for Event Type Aware Video Recognition.

Arda Senocak, Junsik Kim, Tae-Hyun Oh, Hyeonggon Ryu, Dingzeyu Li, In So Kweon

CoRR, 2022

Less Can Be More: Sound Source Localization With a Classification Model.

Arda Senocak, Hyeonggon Ryu, Junsik Kim, In So Kweon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification.

Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics.

Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Learning Sound Localization Better from Semantically Similar Samples.

Arda Senocak, Hyeonggon Ryu, Junsik Kim, In So Kweon

Proceedings of the IEEE International Conference on Acoustics, 2022

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, In So Kweon

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications.

Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination.

Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim

CoRR, 2021

ResNet or DenseNet? Introducing Dense Shortcuts to ResNet.

Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Restoration of Video Frames From a Single Blurred Image With Motion Understanding.

Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Optical Flow Estimation from a Single Motion-blurred Image.

Dawit Mureja Argaw, Junsik Kim, François Rameau, Jae-Won Cho, In So Kweon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Motion-blurred Video Interpolation and Extrapolation.

Dawit Mureja Argaw, Junsik Kim, François Rameau, In So Kweon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DeepPTZ: Deep Self-Calibration for PTZ Cameras.

Chaoning Zhang, François Rameau, Junsik Kim, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time.

Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In So Kweon

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images.

Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Revisiting Residual Networks with Nonlinear Shortcuts.

Chaoning Zhang, François Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Visuomotor Understanding for Representation Learning of Driving Scenes.

Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Part-Based Player Identification Using Deep Convolutional Representation and Multi-Scale Pooling.

Arda Senocak, Tae-Hyun Oh, Junsik Kim, In So Kweon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

On Learning Association of Sound Source and Visual Scenes.

Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Learning to Localize Sound Source in Visual Scenes.

Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition.

Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks.

Jae Shin Yoon, François Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon

Proceedings of the IEEE International Conference on Computer Vision, 2017

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition.

Seokju Lee, Junsik Kim, Jae Shin Yoon, Seunghak Shin, Oleksandr Bailo, Namil Kim, Tae-Hee Lee, Hyun Seok Hong, Seung-Hoon Han, In So Kweon

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Real-time Robust Manhattan Frame Estimation: Global Optimality and Applications.

Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In-So Kweon

CoRR, 2016

Human body part classification from optical flow.

Junsik Kim, Kyungdon Joo, Tae Hyun Oh, In-So Kweon

Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

Globally Optimal Manhattan Frame Estimation in Real-Time.

Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In-So Kweon

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014

A fusion approach for robust visual object tracking in crowd scenes.

Tae Hyun Oh, Kyungdon Joo, Junsik Kim, Jaesik Park, In-So Kweon

Proceedings of the 11th International Conference on Ubiquitous Robots and Ambient Intelligence, 2014