Junsik Kim

Orcid: 0000-0003-2555-5232

Affiliations:
  • KAIST, Robotics and Computer Vision Lab., Daejeon, Korea
  • Korea Advanced Institute of Science and Technology, School of Electrical Engineering, Daejeon, Korea (PhD 2020)


According to our database1, Junsik Kim authored at least 42 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Weakly Supervised Contrastive Learning for Unsupervised Vehicle Reidentification.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

ENInst: Enhancing weakly-supervised low-shot instance segmentation.
Pattern Recognit., January, 2024

Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models.
CoRR, 2024

Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment.
CoRR, 2024

R<sup>2</sup>-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding.
CoRR, 2024

Blurry Video Compression A Trade-off between Visual Enhancement and Data Compression.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MoRA: LoRA Guided Multi-modal Disease Diagnosis with Missing Modality.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multimodal Learning for Embryo Viability Prediction in Clinical IVF.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

$\mathrm R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding.
Proceedings of the Computer Vision - ECCV 2024, 2024

Joint-Task Regularization for Partially Labeled Multi-Task Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Active anomaly detection based on deep one-class classification.
Pattern Recognit. Lett., March, 2023

Event-Specific Audio-Visual Fusion Layers: A Simple and New Perspective on Video Understanding.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Sound Source Localization is All about Cross-Modal Alignment.
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.
CoRR, 2022

Audio-Visual Fusion Layers for Event Type Aware Video Recognition.
CoRR, 2022

Less Can Be More: Sound Source Localization With a Classification Model.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Learning Sound Localization Better from Semantically Similar Samples.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination.
CoRR, 2021

ResNet or DenseNet? Introducing Dense Shortcuts to ResNet.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Restoration of Video Frames From a Single Blurred Image With Motion Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Optical Flow Estimation from a Single Motion-blurred Image.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Motion-blurred Video Interpolation and Extrapolation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DeepPTZ: Deep Self-Calibration for PTZ Cameras.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Revisiting Residual Networks with Nonlinear Shortcuts.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Visuomotor Understanding for Representation Learning of Driving Scenes.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Part-Based Player Identification Using Deep Convolutional Representation and Multi-Scale Pooling.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

On Learning Association of Sound Source and Visual Scenes.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Learning to Localize Sound Source in Visual Scenes.
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.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Real-time Robust Manhattan Frame Estimation: Global Optimality and Applications.
CoRR, 2016

Human body part classification from optical flow.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

Globally Optimal Manhattan Frame Estimation in Real-Time.
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.
Proceedings of the 11th International Conference on Ubiquitous Robots and Ambient Intelligence, 2014


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