Conferences

Publications

Conferences

Journals

2026

SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation

Youngwoo Shin*, Jiwan Hur*, Junmo Kim (equally contributed by the authors*)

ICLR 2026 (International Conference on Learning Representations)

Inlier-Centric Post-Training Quantization for Object Detection Models

Minsu Kim, Dongyeun Lee, Jaemyung Yu, Jiwan Hur, Giseop Kim and Junmo Kim

ICLR 2026 (International Conference on Learning Representations)

IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation

Sunghyun Baek, Jaemyung Yu, Seunghee Koh, Minsu Kim, Hyeonseong Jeon and Junmo Kim

ICLR 2026 (International Conference on Learning Representations)

FxSearcher: gradient-free text-driven audio transformation

Hojoon Ki, Jongsuk Kim, Minchan Kwon and Junmo Kim

ICASSP 2026 (International Conference on Acoustics, Speech, and Signal Processing)

PHYSIO-MAMBA: Physiologically-Guided MAMBA Network for Continuous Calibration-free ABP Reconstruction from PPG

Sungwoo Kim and Junmo Kim

ICASSP 2026 (International Conference on Acoustics, Speech, and Signal Processing)

2025

Preference Distillation via Value based Reinforcement Learning

Minchan Kwon, Junwon Ko, Kangil Kim†, and Junmo Kim† (Corresponding authors†)

NeurIPS 2025 (Conference on Neural Information Processing Systems)

Frequency-Aware Token Reduction for Efficient Vision Transformer

Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Jaemyung Yu, and Junmo Kim

NeurIPS 2025 (Conference on Neural Information Processing Systems)

Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision

Chenshuang Zhang, Kang Zhang, Joon Son Chung†, In So Kweon†, Junmo Kim†, Chengzhi Mao† (Corresponding authors†)

NeurIPS 2025 (Conference on Neural Information Processing Systems)

PSGM‑TR: A Transformer‑Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models

Seunghee Koh, Chanho Lee, Jaehyun Choi, Minseo Kim, Youngno Yoon, Changyoung Lee, and Junmo Kim

MICCAIW 2025 (ShapeMI : Workshop on Shape in Medical Imaging)

B4DL: A Benchmark for 4D LiDAR LLM in Spatio-Temporal Understanding

Changho Choi*, Youngwoo Shin*, Gyojin Han, Dong-Jae Lee, and Junmo Kim (equally contributed by the authors*)

ACMMM 2025 (ACM International Conference on Multimedia)

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation

Yooshin Cho, Hanbyel Cho, Janghyeon Lee, HyeongGwon Hong, Jaesung Ahn, and Junmo Kim

ICCV 2025 (IEEE International Conference on Computer Vision)

SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration

Jongsuk Kim, Jae Young Lee, Gyojin Han, Dong-Jae Lee, Minki Jeong, and Junmo Kim

ICCV 2025 (IEEE International Conference on Computer Vision)

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization

Dongyeun Lee, Jiwan Hur, Hyounguk Shon, Jae Young Lee, and Junmo Kim

ICCV 2025 (IEEE International Conference on Computer Vision)

InfiniteAudio: Infinite-Length Audio Generation with Consistency

Chaeyoung Jung, Hojoon Ki, Ji-Hoon Kim, Junmo Kim†, and Joon son Chung† (Corresponding authors†)

INTERSPEECH 2025

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition

Jongsuk Kim, Jaemyung Yu, Minchan Kwon, and Junmo Kim

INTERSPEECH 2025

Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion

Minseo Kim, Minchan Kwon, Dongyeun Lee, Yunho Jeon†, and Junmo Kim† (Corresponding authors†)

CVPRW 2025 (CVPR Workshop on AI for Content Creation)

Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation

JooHyun Kwon*, Hanbyel Cho*, and Junmo Kim (equally contributed by the authors*)

CVPR 2025 (IEEE Conference on Computer Vision and Pattern Recognition)

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 Oral Top 18% (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)

Additional Links: Project | Code

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 : 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

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

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)

Additional Links: Video

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*)

AAAI2024 (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*)

WACV2024 (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

WACV2024 (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*)

WACV2023 (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

MICCAIW 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

Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim

CVPRW 2022 Best Paper (CVPR Workshop on AI for Content Creation)

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

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 International Conference on Robotics and Automation)

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

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

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

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

Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo and Junmo Kim

CVPR 2020 (IEEE Conference on Computer Vision and Pattern Recognition)

Residual Continual Learning

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

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

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

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

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

Yunho Jeon and Junmo Kim

NIPS 2018 Spotlight (Advances in Neural Information Processing Systems)

Highway Driving Dataset for Semantic Video Segmentation

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

Donggyu Joo, Junho Yim and Junmo Kim

BMVC 2018 (The British Machine Vision Conference)

Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling

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

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

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 (SPIE Medical Imaging 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 (SPIE Medical Imaging 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 Workshop: Large Scale Visual Recognition and Retrieval)

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

SPIE Med. Img. 2016 (SPIE Medical Imaging 2016)

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 Conference on Computer Vision and Pattern Recognition)

Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection

Dongyoon Han, Junmo Kim

CVPR 2015 (IEEE 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

CHI EA 2014 (ACM CHI '14 Extended Abstracts on Human Factors in Computing Systems)

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

IS&T/SPIE Electronic Imaging 2014 (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

DSP-IVS 2013 (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

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 (Second International Conference on Medical Image Computing and Computer-Assisted Intervention)