‌Publication

 

Journals

 
2024
- AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
  Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, and Junmo Kim
  Knowledge-Based Systems
- Towards Understanding Dual BN In Hybrid Adversarial Training
  Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim*, and In So Kweon* 
  (Corresponding authors*)
  Transactions on Machine Learning Research
- ContextMix: A Context-Aware Data Augmentation Method for Industrial Visual Inspection Systems
  Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, and Junmo Kim 
  Engineering Applications of Artificial Intelligence
2023
- Multi-Scale Foreground-Background Separation for Light Field Depth Estimation with Deep Convolutional Networks
  Jae Young Lee, Jiwan Hur, Jaehyun Choi, Rae-Hong Park, and Junmo Kim 
  Pattern Recognition Letters
2022
- Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution
  Youngsoo Kim, Jeonghyo Ha, Yooshin Cho, and ​Junmo Kim 
  IEEE Access
- 3D Measurement using a Single Image for Smart Manufacturing of Microscopic Products in a Ceramic Powder Pressing Process 
  Hyejin S. Kim, Yoonsoo Han, and Junmo Kim
  International Journal of Precision Engineering and Manufacturing-Green Technology
- Projection-Based Point Convolution for Efficient Point Cloud Segmentation
  Pyunghwan Ahn, Juyoung Yang, Eojindl Yi, Chanho Lee, and Junmo Kim
  IEEE Access
- Cocktail Glass Network: Fast Depth Estimation Using Channel to Space Unrolling
  Jung-Jae Yu, Jong-Gook Ko, and Junmo Kim
  IEEE Access
- Extending Contrastive Learning to Unsupervised Redundancy Identification
  Jeongwoo Ju, Heechul Jung, and Junmo Kim
  Applied Sciences
- Extending Contrastive Learning to Unsupervised Coreset Selection
  Jeongwoo Ju, Heechul Jung, Yoonju Oh, and Junmo Kim
  IEEE Access
2021
- Classification of Focal Liver Lesions in CT Images Using Convolutional Neural Networks with Lesion Information Augmented Patches and Synthetic Data Augmentation
  Hansang Lee, Haeil Lee, Helen Hong, Heejin Bae, Joon Seok Lim, and Junmo Kim
  Medical Physics
- Integrating Multiple Receptive Fields through Grouped Active Convolution
  Yunho Jeon and Junmo Kim
  IEEE Transactions on Pattern Analysis and Machine Intelligence
- Occlusion Handling by Successively Excluding Foregrounds for Light Field Depth Estimation based on Foreground-Background Separation
  Jae Young Lee, Rae-Hong Park, and Junmo Kim
  IEEE Access
- SAR Image Generation of Ground Targets for Automatic Target Recognition Using Indirect Information
  Jihee Yoo and Junmo Kim
  IEEE Access
- Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection
  Woo-Han Yun, Taewoo Kim, Jaeyeon Lee, Jaehong Kim, and Junmo Kim
  IEEE Access 
2020
- Joint Learning of Generative Translator and Classifier for Visually Similar Classes
  Byungin Yoo, Tristan Sylvain, Yoshua Bengio and Junmo Kim
  IEEE Access
- TiVGAN: Text to Image to Video Generation With Step-by-Step Evolutionary Generator
  Doyeon Kim*, Donggyu Joo*, and Junmo Kim (equally contributed by the authors*)
  IEEE Access
- Leveraging Contextual Information for Monocular Depth Estimation
  Doyeon Kim, Sihaeng Lee, Janghyeon Lee and Junmo Kim
  IEEE Access
- Single Image Super-Resolution via Similarity Between Spatially Scattered Features
  Jeonghyo Ha, Youngsoo Kim and Junmo Kim
  IEEE Access
- Adjusting Decision Boundary for Class Imbalanced Learning
  Byungju Kim and Junmo Kim
  IEEE Access
- Deep Architecture With Cross Guidance Between Single Image and Sparse LiDAR Data for Depth Completion
  Sihaeng Lee, Janghyeon Lee, Doyeon Kim and Junmo Kim
  IEEE Access
- Densely Distilled Flow-Based Knowledge Transfer in Teacher-Student Framework for Image Classification
  Ji-Hoon Bae, Doyeob Yeo, Junho Yim, Nae-Soo Kim, Cheol-Sig Pyo and Junmo Kim
  IEEE Transactions on Image Processing
- Automatic Recognition of Children Engagement from Facial Video Using Convolutional Neural Networks
  Woo-Han Yun, Dongjin Lee, Chankyu Park, Jaehong Kim and Junmo Kim
 IEEE Transactions on Affective Computing
2019

- Refining background subtraction using consistent motion detection in adverse weather
  Heechul Jung, Jeongwoo Ju, Wonjun Hwang and Junmo Kim
  Journal Electron. Imaging, Vol. 28 No. 2, 020501, March 2019

- Randomized Voting-based Rigid-body Motion Segmentation
  Heechul Jung, Jungwoo Ju and Junmo Kim
  IEEE Transactions on Circuits and Systems for Video Technology, Vol. 29, No. 3, pp.698-713, March 2019.

- Teacher-Student framework-based knowledge transfer with incremental block-wise retraining
  Ji-Hoon Bae, Junho Yim and Junmo Kim
  IET Journal. 2019

- Layer-Wise Hint-Based Training for Knowledge Transfer in a Teacher-Student Framework
  Ji-Hoon Bae, Junho Yim, Nae-Soo Kim, Cheol-Sig Pyo, and Junmo Kim
  ETRI Journal, Vol. 41, No. 2, pp.242-253, April 2019  

2018

- ELD-Net: An efficient deep learning architecture for accurate saliency detection
  Gayoung Lee, Yu-Wing Tai, and Junmo Kim
  IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 40, No. 7, pp. 1599-1610, July 2018

- Computationally efficient automatic coast mode target tracking based on occlusion aware in infrared images
  Sohyun Kim, Gwang-Il Jang, Sungho Kim, and Junmo Kim
  Sensors

- Deep Facial Age Estimation using Conditional Multitask Learning with Weak Label Expansion
  ByungIn Yoo, Youngjun Kwak, Youngsung Kim, Changkyu Choi, and Junmo Kim
  IEEE Signal Processing Letters

- Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data
  Dongyoon Han and Junmo Kim
  IEEE Transactions on Neural Networks and Learning Systems

- Deep Feature Classification of Angiomyolipoma without Visible Fat and Renal Cell Carcinoma in Abdominal Contrast-Enhanced CT Images with Texture Image Patches and Hand-Crafted Feature Concatenation
  Hansang Lee, Helen Hong, Junmo Kim, and Dae Chul Jung
  Medical Physics

- Genetic prediction of type 2 diabetes using deep neural network
  Jongoh Kim,  Junmo Kim,  Min Ji Kwak, and Mandeep Bajaj
  Clinical Genetics

- Example Image-based Feature Extraction for Face Recognition
  Wonjun Hwang and Junmo Kim
  MULTIMEDIA TOOLS AND APPLICATIONS

- Revisiting Gist-PCA Hashing for Near Duplicate Image Detection
  Hyunwoo Kim, SungRyull Sohn and Junmo Kim
  Journal of Signal Processing Systems

2017

- Question-aware prediction with candidate answer recommendation for visual question answering
  Byungju Kim and Junmo Kim
  Electronics Letters

- Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization
  Y. Kee, Y. Lee, M. Souiai, D. Cremers, and J. Kim
  SIAM Journal on Imaging Sciences

- Differentiation of Fat-poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma in Contrast-enhanced MDCT Images Using Quantitative Feature Classification
  H. Lee, H. Hong, D. C. Jung, S. Park, and J. Kim
  Medical Physics

- Uncorrelated Component Analysis-based Hashing
  Sungryull Sohn, Hyunwoo Kim, and Junmo Kim
  IEEE Transactions on Image Processing

- Tunnel Effect in CNNs: Image Reconstruction From Max-Switch Locations
  Matthieu de La Roche Saint Andre, Laura Rieger, Morten Hannemose, and Junmo Kim
  IEEE Signal Processing Letters

- Seed growing for interactive image segmentation using SVM classification with geodesic distance
  Sunjeong Park, Hansang Lee, and Junmo Kim
  Electronics Letters, vol. 53, no. 1, pp. 22–24, Jan. 2017

2016

- Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support
  Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, and Junmo Kim
  Image Processing, IEEE Transactions on 25.1 (2016):9-23

2015

- Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications
  Youngwook Kee, Han S. Lee, Junho Yim, Daniel Cremers, and Junmo Kim
  IEEE Signal Processing Letters, Vol. 22, No. 11, pp. 1922-1926, Nov., 2015

- Markov Network-based Unified Classifier for Face Recognition
  Wonjun Hwang and Junmo Kim
  IEEE Trans. on Image Processing, Vol. 24, No. 11, pp. 4263-4275, Nov., 2015.

- Face Recognition Using Extended Curvature Gabor Classifier Bunch
  Wonjun Hwang, Xiangsheng Huang, Stan Z. Li, and Junmo Kim
  Pattern Recognition, Vol. 48, No. 4, pp. 1243-1256, Apr., 2015.

2014

- Face Recognition using Average Example Image
  Wonjun Hwang, Wonjun Kim, Sungjoo Suh, Jae-joon Han, and Junmo Kim
  Electronics Letters, Vol. 50, No. 25, pp. 1921-1923, Dec., 2014.

- Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement
  Hansang Lee, Helen Hong, and Junmo Kim
  Computers in Biology and Medicine, Vol. 55, No. 1, pp. 1-10, Dec. 2014.

2012

- Achievable rates of multi-antenna downlink channels with peak power constraints
  Ihnjung Baik, Saeyoung Chung, and Junmo Kim
  IEEE Transactions on Communications, Vol. 60, No. 8, pp. 2199-2207, Aug. 2012.

2011

- An Automatic Cerebellum Extraction Method in T1-weighted Brain MR Images Using an Active Contour Model with a Shape Prior
  Jinyoung Hwang, Junmo Kim, Yeji Han, and Hyunwook Park
  Magnetic Resonance Imaging, vol. 29, no. 7, pp. 1014-1022, 2011.

- Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature under Uncontrolled llumination Variation
  Wonjun Hwang, Haitao Wang, Hyunwoo Kim, Seokcheol Kee, and Junmo Kim
  IEEE Transactions on Image Processing, 20(4):1152–1165, Apr 2011.

2010

- Rate Enhancement for the Gaussian Z-Interference Channel with Transmitter Cooperation
  Daewon Seo, Sangwoon Jeon, Saeyoung Chung, Junmo Kim
  IEEE Communication Letters, vol. 14, no. 9, September 2010

Previous

- MIMO Broadcast Channels with User Cooperation
  J. Kim, H. Kwon, C. S. Park, G. Kim, D. Hwang, and S. Kim
  Samsung Journal of Innovative Technology, February 2008.

- Resource Partitioning with Beamforming for the Decode-Forward Relay Networks
  D. Hwang, J. Kim, and S. Kim
  EURASIP Journal on Wireless Communications and Networking, vol. 2008, Article ID 853164, 6 pages, 2008. doi:10.1155/2008/853164.

- Nonparametric Shape Priors for Active Contour-Based Image Segmentation
  J. Kim, M. Cetin, and A. Willsky
  Signal Processing, vol. 87, no. 12, pp. 3021--3044, December 2007.

- A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution
  J. Kim, J. Fisher III, A. Yezzi, Jr., M. Cetin, and A. Willsky
  IEEE Transactions on Image Processing, vol. 14, no. 10, pp. 1486--1502, October 2005.