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Junsik Kim 0001
Person information
- affiliation: KAIST, Robotics and Computer Vision Lab., Daejeon, Korea
- affiliation (PhD 2020): Korea Advanced Institute of Science and Technology, School of Electrical Engineering, Daejeon, Korea
Other persons with the same name
- Junsik Kim — disambiguation page
- Junsik Kim 0002 — Kyung Hee University, Department of Electronic Engineering, Yongin, South Korea
- Junsik Kim 0003 — Electronics and Telecommunications Research Institute (ETRI), Mobile Telecommunication Research Division, Daejeon, Korea
- Junsik Kim 0004 — Inha University, Department of Information and Communication Engineering, Incheon, Korea
- Junsik Kim 0005 — Dankook University, Yongin, South Korea
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2020 – today
- 2024
- [j6]Moon Ye-Bin, Dongmin Choi, Yongjin Kwon, Junsik Kim, Tae-Hyun Oh:
ENInst: Enhancing weakly-supervised low-shot instance segmentation. Pattern Recognit. 145: 109888 (2024) - [j5]Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi:
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13327-13339 (2024) - [j4]Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim:
Weakly Supervised Contrastive Learning for Unsupervised Vehicle Reidentification. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15543-15553 (2024) - [c29]Kento Nishi, Junsik Kim, Wanhua Li, Hanspeter Pfister:
Joint-Task Regularization for Partially Labeled Multi-Task Learning. CVPR 2024: 16152-16162 - [c28]Ye Liu, Jixuan He, Wanhua Li, Junsik Kim, Donglai Wei, Hanspeter Pfister, Chang Wen Chen:
$\mathrm R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding. ECCV (41) 2024: 421-438 - [c27]Zhiyi Shi, Junsik Kim, Wanhua Li, Yicong Li, Hanspeter Pfister:
MoRA: LoRA Guided Multi-modal Disease Diagnosis with Missing Modality. MICCAI (3) 2024: 273-282 - [c26]Junsik Kim, Zhiyi Shi, Davin Jeong, Johannes Knittel, Helen Y. Yang, Yonghyun Song, Wanhua Li, Yicong Li, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Multimodal Learning for Embryo Viability Prediction in Clinical IVF. MICCAI (5) 2024: 542-552 - [c25]Dawit Mureja Argaw, Junsik Kim, In So Kweon:
Blurry Video Compression A Trade-off between Visual Enhancement and Data Compression. WACV 2024: 4268-4278 - [i30]Ye Liu, Jixuan He, Wanhua Li, Junsik Kim, Donglai Wei, Hanspeter Pfister, Chang Wen Chen:
R2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding. CoRR abs/2404.00801 (2024) - [i29]Kento Nishi, Junsik Kim, Wanhua Li, Hanspeter Pfister:
Joint-Task Regularization for Partially Labeled Multi-Task Learning. CoRR abs/2404.01976 (2024) - [i28]Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung:
Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment. CoRR abs/2407.13676 (2024) - [i27]Zhiyi Shi, Junsik Kim, Wanhua Li, Yicong Li, Hanspeter Pfister:
MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality. CoRR abs/2408.09064 (2024) - [i26]Salma Abdel Magid, Weiwei Pan, Simon Warchol, Grace Guo, Junsik Kim, Mahia Rahman, Hanspeter Pfister:
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models. CoRR abs/2410.04634 (2024) - [i25]Junsik Kim, Zhiyi Shi, Davin Jeong, Johannes Knittel, Helen Y. Yang, Yonghyun Song, Wanhua Li, Yicong Li, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Multimodal Learning for Embryo Viability Prediction in Clinical IVF. CoRR abs/2410.15581 (2024) - 2023
- [j3]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Active anomaly detection based on deep one-class classification. Pattern Recognit. Lett. 167: 18-24 (2023) - [c24]Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung:
Sound Source Localization is All about Cross-Modal Alignment. ICCV 2023: 7743-7753 - [c23]Arda Senocak, Junsik Kim, Tae-Hyun Oh, Dingzeyu Li, In So Kweon:
Event-Specific Audio-Visual Fusion Layers: A Simple and New Perspective on Video Understanding. WACV 2023: 2236-2246 - [i24]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. CoRR abs/2302.06048 (2023) - [i23]Moon Ye-Bin, Dongmin Choi, Yongjin Kwon, Junsik Kim, Tae-Hyun Oh:
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation. CoRR abs/2302.09765 (2023) - [i22]Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi:
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. CoRR abs/2309.09436 (2023) - [i21]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Active anomaly detection based on deep one-class classification. CoRR abs/2309.09465 (2023) - [i20]Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung:
Sound Source Localization is All about Cross-Modal Alignment. CoRR abs/2309.10724 (2023) - [i19]Dawit Mureja Argaw, Junsik Kim, In So Kweon:
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression. CoRR abs/2311.04430 (2023) - 2022
- [c22]Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon:
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation. ECCV (34) 2022: 236-251 - [c21]Arda Senocak, Hyeonggon Ryu, Junsik Kim, In So Kweon:
Learning Sound Localization Better from Semantically Similar Samples. ICASSP 2022: 4863-4867 - [c20]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. ICDM (Workshops) 2022: 39-46 - [c19]Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh:
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. ICRA 2022: 905-911 - [c18]Arda Senocak, Hyeonggon Ryu, Junsik Kim, In So Kweon:
Less Can Be More: Sound Source Localization With a Classification Model. WACV 2022: 577-586 - [i18]Arda Senocak, Hyeonggon Ryu, Junsik Kim, In So Kweon:
Learning Sound Localization Better From Semantically Similar Samples. CoRR abs/2202.03007 (2022) - [i17]Arda Senocak, Junsik Kim, Tae-Hyun Oh, Hyeonggon Ryu, Dingzeyu Li, In So Kweon:
Audio-Visual Fusion Layers for Event Type Aware Video Recognition. CoRR abs/2202.05961 (2022) - [i16]Fei Pan, François Rameau, Junsik Kim, In So Kweon:
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection. CoRR abs/2206.00181 (2022) - [i15]Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon:
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation. CoRR abs/2207.09045 (2022) - 2021
- [j2]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1605-1619 (2021) - [c17]Dawit Mureja Argaw, Junsik Kim, François Rameau, Jae-Won Cho, In So Kweon:
Optical Flow Estimation from a Single Motion-blurred Image. AAAI 2021: 891-900 - [c16]Dawit Mureja Argaw, Junsik Kim, François Rameau, In So Kweon:
Motion-blurred Video Interpolation and Extrapolation. AAAI 2021: 901-910 - [c15]Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon:
Restoration of Video Frames From a Single Blurred Image With Motion Understanding. CVPR Workshops 2021: 701-710 - [c14]Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon:
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. WACV 2021: 3549-3558 - [i14]Dawit Mureja Argaw, Junsik Kim, François Rameau, In So Kweon:
Motion-blurred Video Interpolation and Extrapolation. CoRR abs/2103.02984 (2021) - [i13]Dawit Mureja Argaw, Junsik Kim, François Rameau, Jae-Won Cho, In So Kweon:
Optical Flow Estimation from a Single Motion-blurred Image. CoRR abs/2103.02996 (2021) - [i12]Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon:
Restoration of Video Frames from a Single Blurred Image with Motion Understanding. CoRR abs/2104.09134 (2021) - [i11]Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh:
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. CoRR abs/2109.06401 (2021) - [i10]Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim:
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination. CoRR abs/2110.14825 (2021) - 2020
- [c13]Chaoning Zhang, François Rameau, Junsik Kim, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon:
DeepPTZ: Deep Self-Calibration for PTZ Cameras. WACV 2020: 1030-1038 - [i9]Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon:
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. CoRR abs/2010.12496 (2020)
2010 – 2019
- 2019
- [j1]Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In So Kweon:
Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 682-696 (2019) - [c12]Chaoning Zhang, François Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon:
Revisiting Residual Networks with Nonlinear Shortcuts. BMVC 2019: 12 - [c11]Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon:
Visuomotor Understanding for Representation Learning of Driving Scenes. BMVC 2019: 262 - [c10]Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon:
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. CVPR 2019: 9462-9470 - [i8]Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon:
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. CoRR abs/1904.08482 (2019) - [i7]Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon:
Visuomotor Understanding for Representation Learning of Driving Scenes. CoRR abs/1909.06979 (2019) - [i6]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications. CoRR abs/1911.09649 (2019) - 2018
- [c9]Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon:
Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. AAAI 2018: 6975-6982 - [c8]Arda Senocak, Tae-Hyun Oh, Junsik Kim, In So Kweon:
Part-Based Player Identification Using Deep Convolutional Representation and Multi-Scale Pooling. CVPR Workshops 2018: 1732-1739 - [c7]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
On Learning Association of Sound Source and Visual Scenes. CVPR Workshops 2018: 2508-2509 - [c6]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Source in Visual Scenes. CVPR 2018: 4358-4366 - [i5]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Source in Visual Scenes. CoRR abs/1803.03849 (2018) - 2017
- [c5]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:
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition. ICCV 2017: 1965-1973 - [c4]Jae Shin Yoon, François Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon:
Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks. ICCV 2017: 2186-2195 - [i4]Jae Shin Yoon, François Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon:
Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks. CoRR abs/1708.05137 (2017) - [i3]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:
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition. CoRR abs/1710.06288 (2017) - [i2]Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon:
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. CoRR abs/1712.01907 (2017) - 2016
- [c3]Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In-So Kweon:
Globally Optimal Manhattan Frame Estimation in Real-Time. CVPR 2016: 1763-1771 - [c2]Junsik Kim, Kyungdon Joo, Tae Hyun Oh, In-So Kweon:
Human body part classification from optical flow. URAI 2016: 903-904 - [i1]Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In-So Kweon:
Real-time Robust Manhattan Frame Estimation: Global Optimality and Applications. CoRR abs/1605.03730 (2016) - 2014
- [c1]Tae Hyun Oh, Kyungdon Joo, Junsik Kim, Jaesik Park, In-So Kweon:
A fusion approach for robust visual object tracking in crowd scenes. URAI 2014: 558-560
Coauthor Index
aka: In So Kweon
aka: Tae-Hyun Oh
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last updated on 2024-12-23 19:31 CET by the dblp team
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