‌Publication

Conferences

 

Journals

 

2025
- AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
   Jaehyun Choi*, Junwon Ko*, Dong-Jae Lee*, and Junmo Kim (equally contributed by the authors*)
   WACV 2025 (Winter Conference on Applications of Computer Vision)
- Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
   Haeil Lee*, Hansang Lee*, Seoyeon Gye, and Junmo Kim (equally contributed by the authors*)
   WACV 2025 (Winter Conference on Applications of Computer Vision)
- Reducing the Content Bias for AI-generated Image Detection
   Seoyeon Gye*, Junwon Ko*, Hyounguk Shon*, Minchan Kwon, and Junmo Kim (equally contributed by the authors*)
   WACV 2025 (Winter Conference on Applications of Computer Vision)
2024
- Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
   Jiwan Hur, Dong-Jae Lee, Gyojin Han, Jaehyun Choi, Yunho Jeon†, and Junmo Kim† (Corresponding authors†)
   NeurIPS 2024 (Conference on Neural Information Processing Systems)
- Self-supervised Transformation Learning for Equivariant Representations
   Jaemyung Yu, Jaehyun Choi, Dong-Jae Lee, HyeongGwon Hong, and Junmo Kim​
   NeurIPS 2024 (Conference on Neural Information Processing Systems)
- Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
   Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon†, and Junmo Kim† (Corresponding authors†)
   EMNLP 2024 (The 2024 Conference on Empirical Methods in Natural Language Processing)
- StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model
   Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, and Junmo Kim
   EMNLP 2024 (The 2024 Conference on Empirical Methods in Natural Language Processing)
- PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model
   Seunghee Koh, Chanho Lee, Jae Young Lee, Jaehyun Choi, Youngno Yoon, Changyoung Lee, and Junmo Kim
   MICCAIW 2024 (ShapeMI MICCAI 2024: Workshop on Shape in Medical Imaging)
- Implicit Steganography Beyond the Constraints of Modality
   Sojeong Song*, Seoyun Yang*, Chang D. Yoo†, and Junmo Kim† (equally contributed by the authors*, Corresponding authors†)
   ECCV 2024 (European Conference on Computer Vision)
- Learning Neural Deformation Representation for 4D Dynamic Shape Generation
   Gyojin Han, Jiwan Hur, Jaehyun Choi, and Junmo Kim
   ECCV 2024 (European Conference on Computer Vision)
- AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning ​[PDF]​
   Jongsuk Kim, Jiwon Shin, and Junmo Kim
   INTERSPEECH 2024
- Neural Vicinal Risk Minimization: Noise-robust Distillation for Noisy Labels
   Hyounguk Shon, Seunghee Koh, Yunho Jeon, and Junmo Kim
   IJCAIW 2024 (IJCAI Workshop on Artificial Intelligence Safety)
- EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning [PDF] [video]
   Jongsuk Kim*, Hyeongkeun Lee*, Kyeongha Rho*, Junmo Kim, and Joon Son Chung (equally contributed by the authors*)
   ICML 2024 (The International Conference on Machine Learning)​
- ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
   Chenshuang Zhang, Fei Pan, Junmo Kim*, In So Kweon*, and Chengzhi Mao* (Corresponding authors*)
   CVPR 2024 (IEEE Conference on Computer Vision and Pattern Recognition)
- Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency
   Woonghyun Ka*, Jae Young Lee*, Jaehyun Choi, and Junmo Kim (equally contributed by the authors*)
   ICASSP 2024 (IEEE International Conference on Acoustics, Speech and Signal Processing)
- FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
   Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, and Junmo Kim
   AAAI 2024 (The Thirty-Eighth AAAI Conference on Artificial Intelligence)
- Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
   HyeongGwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, and Junmo Kim
   AAAI 2024 (The Thirty-Eighth AAAI Conference on Artificial Intelligence)
- Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
   Jae Young Lee*, Woonghyun Ka*, Jaehyun Choi, and Junmo Kim (equally contributed by the authors*)
   AAAI 2024 (The Thirty-Eighth AAAI Conference on Artificial Intelligence)
- Real-Time Polyp Detection in Colonoscopy using Lightweight Transformer
   Youngbeom Yoo*, Jae Young Lee*, Dong-Jae Lee, Jiwoon Jeon, and Junmo Kim (equally contributed by the authors*) 
   WACV 2024 (Winter Conference on Applications of Computer Vision)
- Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning
   Jiwan Hur, Jaehyun Choi, Gyojin Han, Dong-Jae Lee, and Junmo Kim
   WACV 2024 (Winter Conference on Applications of Computer Vision)
2023
- Localization using Multi-Focal Spatial Attention for Masked Face Recognition
   Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, and 
Junmo Kim
   FG 2023 (IEEE International Conference on Automatic Face and Gesture Recognition)
- Video Inference for Human Mesh Recovery with Vision Transformer
   Hanbyel Cho, Jaesung Ahn, Yooshin Cho, and Junmo Kim
   FG 2023 (IEEE International Conference on Automatic Face and Gesture Recognition)
- Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models
   Hanbyel Cho and Junmo Kim
   ICCVW 2023 (ICCV Workshop on Computer Vision for Metaverse)
- Disposable Transfer Learning for Selective Source Task Unlearning
   Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, and Junmo Kim
   ICCV 2023 (IEEE International Conference on Computer Vision)
- Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
   Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, and Junmo Kim
  ICCV 2023 (IEEE International Conference on Computer Vision)
- Training Cartoonization Network without Cartoon 
   Doyeon Kim, Dongyeun Lee, Donggyu Joo, and Junmo Kim
   ICIP 2023 (IEEE International Conference on Image Processing)
- Data Poisoning Attack Aiming the Vulnerability of Continual Learning
   Gyojin Han*, Jaehyun Choi*, Hyeong Gwon Hong, and Junmo Kim (equally contributed by the authors*)
   ICIP 2023 (IEEE International Conference on Image Processing)
- Deep Cross-Modal Steganography Using Neural Representations
   Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, and Junmo Kim
   ICIP 2023 Oral (IEEE International Conference on Image Processing)
- Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view
   Hanbyel Cho, Yooshin Cho, Jaesung Ahn, and Junmo Kim
   CVPR 2023 (IEEE Conference on Computer Vision and Pattern Recognition)
- Fix the Noise: Disentangling Source Feature for Controllable Domain Translation
   Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, and Junmo Kim
   CVPR 2023 (IEEE Conference on Computer Vision and Pattern Recognition)
- Reinforcement Learning-Based Black-Box Model Inversion Attacks
   Gyojin Han, Jaehyun Choi, Haeil Lee, and Junmo Kim
   CVPR 2023 (IEEE Conference on Computer Vision and Pattern Recognition)
- Test‐Time Synthetic‐to‐Real Adaptive Depth Estimation
   Eojindl Yi, and Junmo Kim
   ICRA 2023 (IEEE International Conference on Robotics and Automation)
- Lightweight Monocular Depth Estimation via Token-Sharing Transformer
   Dong-Jae Lee*, Jae Young Lee*, Hyounguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, and Junmo Kim (equally contributed by the authors*)
   ICRA 2023 (IEEE International Conference on Robotics and Automation)
- Frequency Selective Augmentation for Video Representation Learning
   Jinhyung Kim, Taeoh Kim , Minho Shim , Dongyoon Han , Dongyoon Wee, and Junmo Kim
   AAAI 2023 (The Thirty-Seventh AAAI Conference on Artificial Intelligence)
- I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images
   Jiwan Hur*, Jae Young Lee*, Jaehyun Choi, and Junmo Kim (equally contributed by the authors*)
   WACV 2023 (Winter Conference on Applications of Computer Vision)
2022
- Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
   Hansang Lee, Haeil Lee, Helen Hong, and Junmo Kim
   MICCAI-DALI 2022 (MICCAI Workshop on Data Augmentation, Labelling, and Imperfections)
- Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning
   Gyojin Han*, Jaehyun Choi*, Hyeong Gwon Hong, and Junmo Kim (equally contributed by the authors*)
   NeurIPSW 2022 (NeurIPS Workshop on Machine Learning Safety)
- UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
   Janghyeon Lee*, Jongsuk Kim*, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, and Junmo Kim     (equally contributed by the authors*)
   NeurIPS 2022 (Conference on Neural Information Processing Systems)
- Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint
   Seung Ho Na, Hyeong Gwon Hong, Junmo Kim and Seungwon Shin
   ACSAC 2022 (Annual Computer Security Applications Conference)
- DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning
   Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, and Junmo Kim
   ECCV 2022 (European Conference on Computer Vision)
- On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network
   Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, and Junmo Kim
   ECCV 2022 (European Conference on Computer Vision)
- Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion
   Sihaeng Lee*, Eojindl Yi*, Janghyeon Lee, and Junmo Kim
   IROS 2022 (IEEE/RSJ International Conference on Intelligent Robots and Systems)
- Subspace-based Feature Alignment for Unsupervised Domain Adaptation
   Eojindl Yi, and Junmo Kim
   IROS 2022 (IEEE/RSJ International Conference on Intelligent Robots and Systems)
- Cyclic Test Time Augmentation with Entropy Weight Method
   Sewhan Chun, Jae Young Lee, and Junmo Kim
   UAI 2022 (The Conference on Uncertainty in Artificial Intelligence)
- Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks
   Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, and Junmo Kim
   ICIP 2022 (IEEE International Conference on Image Processing)
- Which Metrics For Network Pruning: Final Accuracy? or Accuracy Drop?
   Donggyu Joo, Sunghyun Baek, and Junmo Kim
   ICIP 2022 (IEEE International Conference on Image Processing)

- Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN [PDF]
   Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim
   [Best Paper] CVPRW 2022 (IEEE Conference on Computer Vision and Pattern Recognition Workshops)
- Linear Combination Approximation of Feature for Channel Pruning
   Donggyu Joo, Doyeon Kim, Eojindl Yi and Junmo Kim
   CVPRW 2022 (Efficient Deep Learning for Computer Vision CVPR Workshop)

- Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic
   Knowledge Transfer and Self-Refinement​
   Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee and Junmo Kim
   CVPR 2022 (IEEE Conference on Computer Vision and Pattern Recognition)
- Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation​
   Eojindl Yi, Juyoung Yang and Junmo Kim
   ICRA 2022 (IEEE International Conference on Robotics and Automation)
- TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection [PDF]
   Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim and Junmo Kim
   WACV 2022 (Winter Conference on Applications of Computer Vision)
2021
- SinBlowUp: Outpainting from Learning a Single Image
  Jung-Jae Yu, Juwon Lee, and Junmo Kim
  ICCE-Asia 2021 (IEEE International Conference on Consumer Electronics-Asia)
- Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning
  Juyoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee and Junmo Kim
  ICCV 2021 (IEEE Conference on International Conference on Computer Vision)
- Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
  Hanbyel Cho, Yooshin Cho, Jaemyung Yu and Junmo Kim
  ICCV 2021 (IEEE Conference on International Conference on Computer Vision)
- Improving Generalization of Batch Whitening by Convolutional Unit Optimization
  Yooshin Cho, Hanbyel Cho, Youngsoo Kim and Junmo Kim
  ICCV 2021 (IEEE Conference on International Conference on Computer Vision)
- Target-style-aware Unsupervised Domain Adaptation for Object Detection
  Woo-han Yun, Byungok Han, Jaeyeon Lee, Jaehong Kim and Junmo Kim
  ICRA 2021 (IEEE Robotics and Automation Letters (RA-L) (with ICRA))
- Joint Negative and Positive Learning for Noisy Labels
  Youngdong Kim, Juseung Yun, Hyounguk Shon and Junmo Kim
  CVPR 2021 (IEEE Conference on Computer Vision and Pattern Recognition)
- De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning
  Byungju Kim, Hyeong Gwon Hong and Junmo Kim
  WACV 2021 (Winter Conference on Applications of Computer Vision)
- Linearly Replaceable Filters for Deep Network Channel Pruning
  Donggyu Joo, Eojindl Yi, Sunghyun Baek, and Junmo Kim
  AAAI 2021 (The Thirty-Fifth AAAI Conference on Artificial Intelligence)
- Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
  Beomyoung Kim, Sangeun Han and Junmo Kim
  AAAI 2021 (The Thirty-Fifth AAAI Conference on Artificial Intelligence)
- Patch-Wise Attention Network for Monocular Depth Estimation 
  Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi and Junmo Kim
  AAAI 2021 (The Thirty-Fifth AAAI Conference on Artificial Intelligence)
2020
- Slimming ResNet by Slimming Shortcut
   Donggyu Joo, Doyeon Kim and Junmo Kim
   ICPR 2020 (25th International Conference on Pattern Recognition)

- Delivering Meaningful Representation for Monocular Depth Estimation
   Doyeon Kim, Donggyu Joo and Junmo Kim
   ICPR 2020 (25th International Conference on Pattern Recognition)
 
- Weight Decay Scheduling and Knowledge Distillation for Active Learning [PDF]
  Juseung Yun, Byungjoo Kim and Junmo Kim
  ECCV 2020 (European Conference on Computer Vision)
- PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation [PDF]
JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi and Junmo Kim
  IROS 2020 (International Conference on Intelligent Robots and Systems)
- Regularization on Spatio-Temporally Smoothed Feature for Action Recognition [PDF]
  Jinhyung Kim, Seunghwan Cha, Dongyoon Wee, Soonmin Bae and Junmo Kim
  CVPR 2020 (IEEE Conference on Computer Vision and Pattern Recognition)
- Continual Learning with Extended Kronecker-factored Approximate Curvature [PDF]
  Janghyeon Lee,  Hyeong Gwon Hong,  Donggyu Joo and Junmo Kim
  CVPR 2020 (IEEE Conference on Computer Vision and Pattern Recognition)
- Residual Continual Learning [PDF]
  Janghyeon Lee,  Donggyu Joo,  Hyeong Gwon Hong and Junmo Kim
  AAAI 2020 Oral (The Thirty-Fourth AAAI Conference on Artificial Intelligence)
2019

- NLNL: Negative Learning for Noisy Labels [PDF]
  Youngdong Kim,  Junho Yim,  Juseung Yun and Junmo Kim
  ICCV 2019 (IEEE Conference on International Conference on Computer Vision)

- Learning Not to Learn: Training Deep Neural Networks with Biased Data [PDF]
  Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim and Junmo Kim
  CVPR 2019 (IEEE Conference on Computer Vision and Pattern Recognition)

- Collaborative Method For Incremental Learning on Classification and Generation [PDF]
  Byungju Kim, Jaeyoung Lee, Kyungsu Kim, Sungjin Kim and Junmo Kim
  ICIP 2019 (IEEE International Conference on Image Processing)

- Capturing Long-Range Dependencies in Video Captioning [PDF]
  Jaeyoung Lee, Yekang Lee, Sihyeon Seong, Kyungsu Kim, Sungjin Kim and Junmo Kim
  ICIP 2019 (IEEE International Conference on Image Processing)

2018
- Constructing Fast Network through Deconstruction of Convolution [PDF]
  Yunho Jeon and Junmo Kim
  NIPS 2018 Spotlight (Advances in Neural Information Processing Systems)

- Highway Driving Dataset for Semantic Video Segmentation [PDF]
  Byungju Kim, Junho Yim and Junmo Kim
  BMVC 2018 (The British Machine Vision Conference)

- Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling [PDF]
  Donggyu Joo, Junho Yim and Junmo Kim  
  BMVC 2018 (The British Machine Vision Conference)

- Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling [PDF]
  Sihyeon Seong, Yegang Lee, Youngwook Kee, Dongyoon Han and Junmo Kim
  UAI 2018 Oral (The Conference on Uncertainty in Artificial Intelligence)

- Generating a Fusion Image: One’s Identity and Another’s Shape [PDF]
  Donggyu Joo*, Doyeon Kim* and Junmo Kim  (equally contributed by the authors*)
  CVPR 2018 (IEEE Conference on Computer Vision and Pattern Recognition)

- Less-forgetful Learning in Deep Neural Networks for Domain Expansion in Image Classification [PDF]
  Heechul Jung, Jeongwoo Ju, Minju Jung and Junmo Kim
  AAAI 2018 Oral (The Thirty-Second AAAI Conference on Artificial Intelligence)
2017

- Refine Pedestrian Detections by Referring to Features in Different Ways
  Jaemyung Lee, Sihaeng Lee, Youngdong Kim, Janghyeon Lee and Junmo Kim
  IV 2017 (IEEE Intelligent Vehicles Symposium)

- A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
  Junho Yim, Donggyu Joo, Ji-Hoon Bae and Junmo Kim
  CVPR 2017 (IEEE Conference on Computer Vision and Pattern Recognition)

- Deep Pyramidal Residual Networks
  Dongyoon Han*, Jiwhan Kim* and Junmo Kim (equally contributed by the authors*)
  CVPR 2017 (IEEE Conference on Computer Vision and Pattern Recognition)

- Active Convolution: Learning the Shape of Convolution for Image Classification
  Yunho Jeon and Junmo Kim  
  CVPR 2017  (IEEE Conference on Computer Vision and Pattern Recognition)

- Superior prognosis prediction performance of deep learning for gastric cancer compared to Yonsei prognosis prediction model using Cox regression
  Woo Jin Hyung, Taeil Son, Minseok Park, Hansang Lee, Youn Nam Kim, Hyoung-Il Kim, Jong Won Kim, Jae-Ho Cheong, Seung Ho Choi, Sung Hoon Noh and Junmo Kim
  ASCO 2017 (Gastrointestinal Cancers Symposium)

- Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification
  Hansang Lee, Helen Hong and Junmo Kim
  ISBI 2017 (IEEE 14th International Symposium on Biomedical Imaging)

- Cephalometric landmark detection in dental X-ray images using convolutional neural networks
  Hansang Lee, Minseok Park and Junmo Kim
  SPIE Med. Img. 2017

- Contextual convolutional neural networks for lung nodule classification using Gaussian weighted average image patches
  Haeil Lee, Hansang Lee, Minseok Park and Junmo Kim
  SPIE Med. Img. 2017

2016

- An Automatic Self Lane Recognition using Multi-lane and Lane Change Detection
  Heechul Jung, JongHoon Kwak, Jeongwoo Ju and Junmo Kim
  ICCE-Asia 2016 (IEEE International Conference on Consumer Electronics-Asia)

- Plankton Classification on Imbalanced Large Scale Database via Convolutional Neural Networks with Transfer Learning
  Hansang Lee, Minseok Park and Junmo Kim
  ICIP 2016 (IEEE International Conference on Image Processing)

- Seed Growing for Interactive Image Segmentation with Geodesic Voting
  Sunjeong Park, Hansang Lee and Junmo Kim  
  ICIP 2016 (IEEE International Conference on Image Processing)

- Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-wise Contour Refinement
  Hansang Lee and Junmo Kim
  CVPR-CVMI 2016 (CVPR Workshop on Computer Vision for Microscopy Image Analysis)

- Transfer learning with under-sampled data for super-imbalanced large scale data set for plankton classification
  Hansang Lee, Minseok Park and Junmo Kim
  BigVision 2016 (CVPR Works. Large Scale Vis. Recog. Retrv)

- Deep Saliency with Encoded Low level Distance Map and High Level Features
  Gayoung Lee, Yuwing Tai, Junmo Kim  
  CVPR 2016  (IEEE Conference on Computer Vision and Pattern Recognition)

- Multi-layered atlas registrations for multi-atlas segmentation of brain MRI
  Hansang Lee and Junmo Kim
  ISMRM 2016 (Ann. Meet. Intl. Soc. Mag. Res. Med)

- Quantitative CT texture analysis and classification of small renal masses on contrast-enhanced CT images
  Hansang Lee, H. Hong, D.C. Jung, S.H. Park and Junmo Kim
  ISBI 2016 (Intl. Symp. Biomed. Img)

- Supervised Hashing via Uncorrelated Component Analysis
  SungRyull Sohn, Hyunwoo Kim and Junmo Kim
  AAAI 2016  (The Thirtieth AAAI CONFERENCE)

- Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations
  Hansang Lee, Hyeun A Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, Junmo Kim
  The 2016 SPIE Medical Imaging

- Real-time Personalized Facial Expression Recognition System Based on Deep Learning
  Injae Lee, Heechul Jung, Chunghyun Ahn, Jeongil Seo, Junmo Kim, Oh Seok Kwon
  ICCE 2016 (International Conference on Consumer Electronics 2016)

2015

- Making a More Reliable Classifier via Random Crop Pooling
  Yeakang Lee, Jiwhan Kim, Minju Jung, and Junmo Kim
  RiTA 2015 (Robot Intelligence Technology and Applications)

- Entropy Minimization for Convex Relaxation Approaches  
  Mohamed Souiai, Martin Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, and Daniel Cremers
  ICCV 2015  (IEEE International Conference on Computer Vision)

- Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition
  Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park and Junmo Kim
  ICCV 2015  (IEEE International Conference on Computer Vision)

- Facial Age Estimation via Extended Curvature Gabor Filter
  Jiwhan Kim, Dongyoon Han, Sungryull Sohn, and Junmo Kim
  ICIP 2015 (IEEE International Conference on Image Processing)

- Automatic Drawing Simplification via Complex Zernike Moments
  Dongyoon Han, Jung Eun, Pyunghwan Ahn, Jeonghyo Ha, Donghoon Shin, and Junmo Kim
  ITC-CSCC 2015 (The International Technical Conference on Circuits/Systems, Computers and Communications)

- Rotating Your Face Using Multi-task Deep Neural Network
  Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Dusik Park, Junmo Kim
  CVPR 2015  (IEEE International Conference on Computer Vision and Pattern Recognition)

- Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
  Dongyoon Han, Junmo Kim
  CVPR 2015  (IEEE International Conference on Computer Vision and Pattern Recognition)

- On the Equivalence of Linear Discriminant Analysis and Least Squares‌
  Kibok Lee and Junmo Kim
  AAAI 2015  (The Twenty-Ninth AAAI Conference on Artificial Intelligence)

- New Control Owner Switching System for Multiple TV Viewers via Face Recognition
  Jeongwoo Ju, Dongyoon Han, Jiwhan Kim, Injae Lee, Jihun Cha and Junmo Kim
  ICCE 2015 (International Conference on Consumer Electronics)

2014

- Image Classification Using Convolutional Neural Networks with Multi-Stage Feature
  Junho Yim, Jeongwoo Ju, Heechul Jung, and Junmo Kim
  RiTA 2014 (Robot Intelligence Technology and Applications)

- Face Verification Across Pose via Look-Alike Ranked List Comparison
  Sojung Yun, and Junmo Kim  
  RiTA 2014 (Robot Intelligence Technology and Applications)

- Randomized Decision Bush: Combining Global Shape Parameters and Local Scalable Descriptors for Human Body Parts Recognition
  ByungIn Yoo, Wonjun Kim, Jae-Joon Han, Changkyu Choi, Dusik Park, and Junmo Kim
  ICIP 2014 (IEEE International Conference on Image Processing)

- Sequential Convex Relaxation for Mutual Information Based Unsupervised Figure-Ground Segmentation
  Youngwook Kee, Mohamed Souiai, Daniel Cremers, and Junmo Kim
  CVPR 2014  (IEEE International Conference on Computer Vision and Pattern Recognition)

- A Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functional for the Mumford-Shah Functional
  Youngwook Kee and Junmo Kim
  CVPR 2014  (IEEE International Conference on Computer Vision and Pattern Recognition)

- Salient Region Detection via High Dimensional Color Transform
  Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, and Junmo Kim
  CVPR 2014  (IEEE International Conference on Computer Vision and Pattern Recognition)

- Rigid Motion Segmentation using Randomized Voting
  Heechul Jung, Jeongwoo Ju, and Junmo Kim
  CVPR 2014  (IEEE International Conference on Computer Vision and Pattern Recognition)

- Efficient and Fast Multi-View Face Detection Based on Feature Transformation
  Dongyoon Han, Jiwhan Kim, Jeongwoo Ju, Injae Lee, Jihun Cha, and Junmo Kim
  ICACT 2014 (International Conference on Advanced Communications Technology)

- RoVatar: Semi-autonomous Robot Boxing Game by Miniature Avatars
  ByungIn Yoo, Changkyu Choi, NamJoon Kim, Jae-Joon Han, Dusik Park, and Junmo Kim
  In Proceedings of ACM CHI '14 Extended Abstracts on Human Factors in Computing Systems, 2014.

- Real-time 3D Human Pose Recognition from Reconstructed Volume via Voxel Classifiers
  ByungIn Yoo, Changkyu Choi, Jaejoon Han, Changkyo Lee, Wonjun Kim, Sungjoo Suh, Dusik Park, and Junmo Kim
  Proceeding of IS&T/SPIE Electronic Imaging 2014. 

2013

- Markov Network-based Unified Classifier for Face Identification
  Wonjun Hwang, Kyungshik Roh, and Junmo Kim
  ICCV 2013  (IEEE International Conference on Computer Vision)

- Calibration free gaze estimation using restricted Boltzmann machines
  Youngsoo Kim, Jonghoon Kwak, and Junmo Kim 
  The 6th Biennial Workshop on Digital Signal Processing for In-Vehicle Systems

- A Novel Method for Salient Object Detection via Compactness Measurement
  Jiwhan Kim, Hansang Lee, and Junmo Kim
  ICIP 2013 (IEEE International Conference on Image Processing)

- Markov Network-Based Multiple Classifier for Face Image Retrieval
  Wonjun Hwang, Kyungshik Roh, and Junmo Kim  
  ICIP 2013 (IEEE International Conference on Image Processing)

- An Efficient Lane Detection Algorithm For Lane Departure Detection
  Heechul Jung, Junggon Min, and Junmo Kim
  IV 2013 (IEEE Intelligent Vehicles Symposium)

- High-definition Video-based Multi-channel Top-view Vehicle Surrounding Monitoring System for Mobile Navigation Devices
  SungRyull Sohn, Hansang Lee, Heechul Jung, and Junmo Kim
  ICCE 2013 (International Conference on Consumer Electronics)

- Speaker Dependent Visual Speech Recognition Using Extended Curvature Gabor Filters
  Jeongwoo Ju, Heechul Jung, and Junmo Kim
  ICCE 2013 (International Conference on Consumer Electronics)

2012

- Automatic Image Segmentation Using Saliency Detection and Superpixel Graph Cuts
  Sandeul Kang, Hansang Lee, Jiwhan Kim, and Junmo Kim
  RiTA 2012 (International Conference on Robot Intelligence and Technology Application)

- Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment
  Jeongwoo Ju,  Heechul Jung, Junmo Kim  
  RiTA 2012 (International Conference on Robot Intelligence and Technology Application)

- Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints
  Hansang Lee, Helen Hong, and Junmo Kim
  ACCV 2012 (Asian Conference on Computer Vision)

- Groupwise Shape Registration Based on Entropy Minimization
  Youngwook Kee, Daniel Cremers, and Junmo Kim
  DAGM-OAGM 2012

- Block Poisson Method and Its Application to Large Scale Image Editing
  Dewey Ho Lee, Seokbong Yoo, Myungjin Choi,  Jongbeom Ra, and Junmo Kim
  ICIP 2012 (IEEE International Conference on Image Processing)

- Global Color Balancing for Satellite Image Mosaicing Using Decorrelated Color Spaces
  H. Lee, D. H. Lee, Heechul Jung, M. Choi, and J. Kim
  ICEIC 2012 (International Conference on Electronics, Information and Communication)

2011

- Image Deblurring Using Fast Minimization of the Mumford-Shah Functional
  H. Lee, S. S. Lee, and J. Kim
  IRC-CSCC 2011 (International Technical Conference on Circuits/Systems, Computers and Communications)

- Face recognition system using extended curvature Gabor classifier bunch for low-resolution face image
  W. Hwang, X. Huang, K. Noh, and J. Kim  
  IEEE Workshop on Biometrics, June 2011

2010

- Two-User Multi-Antenna Downlink Channels with Peak Power Constraints
  Ihn-Jung Baik, Sae-Young Chung, and Junmo Kim
  GLOBECOM 2010 (IEEE Global Telecommunications Conference)

- A Fully Automatic Cerebellum Segmentation Method using an Active Contour Model with Shape Prior
  J. Hwang, J. Kim, and H. Park
  ISMRM 2010 (18th annual meeting of International Society for Magnetic Resonance in Medicine)

2009
- Face Recognition Using Gender Information
  W. Hwang, H. Ren, H. Kim, S.-C. Kee, and J. Kim
  ICIP 2009 (IEEE International Conference on Image Processing)
Previous

- MIMO Broadcast Channels with User Cooperation
  J. Kim, H. Kwon, C. S. Park, G. Kim, D. Hwang, and S. Kim
  Samsung Tech Conference, 2007

- Nonparametric Shape Priors for Active Contour-Based Image Segmentation
  J. Kim, M. Cetin, and A. Willsky
  EURASIP 2005 (European Signal Processing Conference, Antalya, Turkey)

- Incorporating Complex Statistical Information in Active Contour-based Image Segmentation
  J. Kim, J. Fisher III, M. Cetin, A. Yezzi, Jr., and A. Willsky
  ICIP 2003 (IEEE International Conference on Image Processing, vol. 2, pp. 655-658, September 2003)

- Nonparametric Methods for Image Segmentation using Information Theory and Curve Evolution
  J. Kim, J. Fisher III, A. Yezzi, Jr., M. Cetin, and A. Willsky  
  ICIP 2002 (IEEE International Conference on Image Processing, vol. 3, pp. 797-800, September 2002)

- A Curve Evolution-Based Variational Approach to Simultaneous Image Restoration and Segmentation
  J. Kim, A. Tsai, M. Cetin, and A. Willsky
  ICIP 2002 (IEEE International Conference on Image Processing, vol. 1, pp. 109-112, September 2002)

- Incorporating Spatial Priors into an Information Theoretic Approach for fMRI Data Analysis
  J. Kim, J. Fisher III, A. Tsai, C. Wible, A. Willsky, and W. Wells
  MICCAI 2000 (Third International Conference on Medical Image Computing and Computer-Assisted Intervention)

- Analysis of fMRI Data Using Mutual Information
  A. Tsai, J. Fisher III, C. Wible, W. Wells, J. Kim, and A. Willsky  
  MICCAI 1999 (Third International Conference on Medical Image Computing and Computer-Assisted Intervention)