| 2026 | AAAI | Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning (Student Abstract). | Suwoong Lee, Seungjae Lee, Yunho Jeon, Junmo Kim |
| 2026 | ACL | Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens. | Seunghee Koh, Sunghyun Baek, Youngdong Kim, Junmo Kim |
| 2025 | CVPR | Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation. | JooHyun Kwon, Hanbyel Cho, Junmo Kim |
| 2025 | ICCV | Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation. | Yooshin Cho, Hanbyel Cho, Janghyeon Lee, Hyeong Gwon Hong, Jaesung Ahn, Junmo Kim |
| 2025 | ICCV | SeeEEG: Semantic-aware EEG-based Multi-Modal Retrieval-Augmented Generation for High-Fidelity Visual Brain Decoding. | Junmo Kim, WooHyeok Choi, Sang-Jun Park, Keun-Soo Heo, Young-Han Son, Ji-Hye Oh, Dong-Hee Shin, Tae-Eui Kam |
| 2025 | ICCV | SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration. | Jongsuk Kim, Jaeyoung Lee, Gyojin Han, Dong-Jae Lee, Minki Jeong, Junmo Kim |
| 2025 | ICCV | DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization. | Dongyeun Lee, Jiwan Hur, Hyounguk Shon, Jae Young Lee, Junmo Kim |
| 2025 | Interspeech | InfiniteAudio: Infinite-Length Audio Generation with Consistency. | Chaeyoung Jung, Hojoon Ki, Ji-Hoon Kim, Junmo Kim, Joon Son Chung |
| 2025 | Interspeech | FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition. | Jongsuk Kim, Jaemyung Yu, Minchan Kwon, Junmo Kim |
| 2025 | MICCAI | 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, Junmo Kim |
| 2025 | WACV | AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation. | Jaehyun Choi, Junwon Ko, Dong-Jae Lee, Junmo Kim |
| 2025 | WACV | Reducing the Content Bias for AI-generated Image Detection. | Seoyeon Gye, Junwon Ko, Hyounguk Shon, Minchan Kwon, Junmo Kim |
| 2025 | WACV | Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models Using Stepwise Spectral Analysis. | Haeil Lee, Hansang Lee, Seoyeon Gye, Junmo Kim |
| 2025 | SiggraphA | Part-Aware Embedding for Fine-Grained 3D Shape Retrieval. | Suwoong Lee, Da-Un Jung, Juwon Lee, Seungjae Lee, Junmo Kim |
| 2024 | AAAI | Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. | Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim |
| 2024 | AAAI | Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. | Jae Young Lee, Woonghyun Ka, Jaehyun Choi, Junmo Kim |
| 2024 | AAAI | FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. | Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim |
| 2024 | CVPR | NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. | Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun |
| 2024 | CVPR | ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. | Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao |
| 2024 | ECCV | Learning Neural Deformation Representation for 4D Dynamic Shape Generation. | Gyojin Han, Jiwan Hur, Jaehyun Choi, Junmo Kim |
| 2024 | ECCV | Implicit Steganography Beyond the Constraints of Modality. | Sojeong Song, Seoyun Yang, Chang D. Yoo, Junmo Kim |
| 2024 | EMNLP | StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model. | Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim |
| 2024 | EMNLP | Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality. | Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim |
| 2024 | ICASSP | Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency. | Woonghyun Ka, Jae Young Lee, Jaehyun Choi, Junmo Kim |
| 2024 | ICML | EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning. | Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho, Junmo Kim, Joon Son Chung |
| 2024 | Interspeech | AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning. | Jongsuk Kim, Jiwon Shin, Junmo Kim |
| 2024 | MICCAI | PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model. | Seunghee Koh, Chanho Lee, Jae Young Lee, Jaehyun Choi, Youngno Yoon, Changyoung Lee, Junmo Kim |
| 2024 | WACV | Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning. | Jiwan Hur, Jaehyun Choi, Gyojin Han, Dong-Jae Lee, Junmo Kim |
| 2024 | WACV | Real-Time Polyp Detection in Colonoscopy using Lightweight Transformer. | Youngbeom Yoo, Jae Young Lee, Dong-Jae Lee, Jiwoon Jeon, Junmo Kim |
| 2023 | AAAI | Frequency Selective Augmentation for Video Representation Learning. | Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim |
| 2023 | CVPR | Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view. | Hanbyel Cho, Yooshin Cho, Jaesung Ahn, Junmo Kim |
| 2023 | CVPR | Reinforcement Learning-Based Black-Box Model Inversion Attacks. | Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim |
| 2023 | CVPR | Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. | Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim |
| 2023 | ICCV | Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. | Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim |
| 2023 | ICCV | Disposable Transfer Learning for Selective Source Task Unlearning. | Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim |
| 2023 | ICIP | Data Poisoning Attack Aiming the Vulnerability of Continual Learning. | Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim |
| 2023 | ICIP | Deep Cross-Modal Steganography Using Neural Representations. | Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim |
| 2023 | ICIP | Training Cartoonization Network without Cartoon. | Doyeon Kim, Dongyeun Lee, Donggyu Joo, Junmo Kim |
| 2023 | ICRA | Lightweight Monocular Depth Estimation via Token-Sharing Transformer. | Dong-Jae Lee, Jae Young Lee, Hyunguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim |
| 2023 | ICRA | Test-Time Synthetic-to-Real Adaptive Depth Estimation. | Eojindl Yi, Junmo Kim |
| 2023 | WACV | 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, Junmo Kim |
| 2022 | ACSAC | Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint. | Seung Ho Na, Hyeong Gwon Hong, Junmo Kim, Seungwon Shin |
| 2022 | CVPR | Linear Combination Approximation of Feature for Channel Pruning. | Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim |
| 2022 | CVPR | Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. | Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim |
| 2022 | ECCV | DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. | Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim |
| 2022 | ECCV | On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network. | Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim |
| 2022 | ICIP | Rethinking Efficacy of Softmax for Lightweight Non-local Neural Networks. | Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim |
| 2022 | ICIP | Which Metrics for Network Pruning: Final Accuracy? Or Accuracy Drop? | Donggyu Joo, Sunghyun Baek, Junmo Kim |
| 2022 | IROS | Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. | Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim |
| 2022 | IROS | Subspace-based Feature Alignment for Unsupervised Domain Adaptation. | Eojindl Yi, Junmo Kim |
| 2022 | ICRA | Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. | Eojindl Yi, JuYoung Yang, Junmo Kim |
| 2022 | MICCAI | Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. | Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim |
| 2022 | WACV | Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. | Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim |
| 2022 | WACV | TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. | Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim |
| 2022 | UAI | Cyclic test time augmentation with entropy weight method. | Sewhan Chun, Jae Young Lee, Junmo Kim |
| 2021 | AAAI | Linearly Replaceable Filters for Deep Network Channel Pruning. | Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim |
| 2021 | AAAI | Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. | Beomyoung Kim, Sangeun Han, Junmo Kim |
| 2021 | AAAI | Patch-Wise Attention Network for Monocular Depth Estimation. | Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim |
| 2021 | CVPR | Joint Negative and Positive Learning for Noisy Labels. | Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim |
| 2021 | ICCV | Improving Generalization of Batch Whitening by Convolutional Unit Optimization. | Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim |
| 2021 | ICCV | Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning. | Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim |
| 2021 | ICCV | Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. | JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim |
| 2021 | WACV | De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning. | Byungju Kim, Hyeong Gwon Hong, Junmo Kim |
| 2020 | AAAI | Residual Continual Learning. | Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim |
| 2020 | CVPR | Regularization on Spatio-Temporally Smoothed Feature for Action Recognition. | Jinhyung Kim, Seunghwan Cha, Dongyoon Wee, Soonmin Bae, Junmo Kim |
| 2020 | CVPR | Continual Learning With Extended Kronecker-Factored Approximate Curvature. | Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim |
| 2020 | ECCV | Weight Decay Scheduling and Knowledge Distillation for Active Learning. | Juseung Yun, Byungjoo Kim, Junmo Kim |
| 2020 | ICPR | Slimming ResNet by Slimming Shortcut. | Donggyu Joo, Doyeon Kim, Junmo Kim |
| 2020 | ICPR | Delivering Meaningful Representation for Monocular Depth Estimation. | Doyeon Kim, Donggyu Joo, Junmo Kim |
| 2020 | IROS | PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. | JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim |
| 2019 | CVPR | Learning Not to Learn: Training Deep Neural Networks With Biased Data. | Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim |
| 2019 | ICCV | NLNL: Negative Learning for Noisy Labels. | Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim |
| 2019 | ICIP | Collaborative Method for Incremental Learning on Classification and Generation. | Byungju Kim, Jaeyoung Lee, Kyungsu Kim, Sungjin Kim, Junmo Kim |
| 2019 | ICIP | Capturing Long-Range Dependencies in Video Captioning. | Jaeyoung Lee, Yekang Lee, Sihyeon Seong, Kyungsu Kim, Sungjin Kim, Junmo Kim |
| 2019 | MICCAI | Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks. | Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim |
| 2019 | WACV | Learning Receptive Field Size by Learning Filter Size. | Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim |
| 2018 | AAAI | Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. | Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim |
| 2018 | BMVC | Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. | Donggyu Joo, Junho Yim, Junmo Kim |
| 2018 | BMVC | Highway Driving Dataset for Semantic Video Segmentation. | Byungju Kim, Junho Yim, Junmo Kim |
| 2018 | CVPR | Generating a Fusion Image: One's Identity and Another's Shape. | Donggyu Joo, Doyeon Kim, Junmo Kim |
| 2018 | ICIP | Sequential Knowledge Transfer in Teacher-Student Framework Using Densely Distilled Flow-Based Information. | Doyeob Yeo, Ji-Hoon Bae, Nae-Soo Kim, Cheol-Sik Pyo, Junho Yim, Junmo Kim |
| 2018 | UAI | Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. | Sihyeon Seong, Yegang Lee, Youngwook Kee, Dongyoon Han, Junmo Kim |
| 2017 | CVPR | Deep Pyramidal Residual Networks. | Dongyoon Han, Jiwhan Kim, Junmo Kim |
| 2017 | CVPR | Active Convolution: Learning the Shape of Convolution for Image Classification. | Yunho Jeon, Junmo Kim |
| 2017 | CVPR | A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning. | Junho Yim, Donggyu Joo, Ji-Hoon Bae, Junmo Kim |
| 2016 | AAAI | Supervised Hashing via Uncorrelated Component Analysis. | SungRyull Sohn, Hyunwoo Kim, Junmo Kim |
| 2016 | CVPR | Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement. | Hansang Lee, Junmo Kim |
| 2016 | CVPR | Deep Saliency with Encoded Low Level Distance Map and High Level Features. | Gayoung Lee, Yu-Wing Tai, Junmo Kim |
| 2016 | ICIP | Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning. | Hansang Lee, Minseok Park, Junmo Kim |
| 2016 | ICIP | Seed growing for interactive image segmentation with geodesic voting. | Sunjeong Park, Hansang Lee, Junmo Kim |
| 2015 | AAAI | On the Equivalence of Linear Discriminant Analysis and Least Squares. | Kibok Lee, Junmo Kim |
| 2015 | CVPR | Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection. | Dongyoon Han, Junmo Kim |
| 2015 | CVPR | Rotating your face using multi-task deep neural network. | Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Du-Sik Park, Junmo Kim |
| 2015 | ICCV | Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. | Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, Junmo Kim |
| 2015 | ICCV | Entropy Minimization for Convex Relaxation Approaches. | Mohamed Souiai, Martin R. Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, Daniel Cremers |
| 2015 | ICIP | Facial age estimation via extended curvature Gabor filter. | Jiwhan Kim, Dongyoon Han, Sungryull Sohn, Junmo Kim |
| 2014 | CHI | RoVatar: semi-autonomous robot boxing game by miniature avatars. | ByungIn Yoo, Changkyu Choi, Nam-Joon Kim, Jae-Joon Han, Dusik Park, Junmo Kim |
| 2014 | CVPR | Rigid Motion Segmentation Using Randomized Voting. | Heechul Jung, Jeongwoo Ju, Junmo Kim |
| 2014 | CVPR | A Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functionals for the Mumford-Shah Functional. | Youngwook Kee, Junmo Kim |
| 2014 | CVPR | Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation. | Youngwook Kee, Mohamed Souiai, Daniel Cremers, Junmo Kim |
| 2014 | CVPR | Salient Region Detection via High-Dimensional Color Transform. | Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim |
| 2014 | ICIP | 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, Junmo Kim |
| 2013 | ICCV | Markov Network-Based Unified Classifier for Face Identification. | Wonjun Hwang, Kyungshik Roh, Junmo Kim |
| 2013 | ICIP | Markov network-based multiple classifier for face image retrieval. | Wonjun Hwang, Kyungshik Noh, Junmo Kim |
| 2013 | ICIP | A novel method for salient object detection via compactness measurement. | Jiwhan Kim, Hansang Lee, Junmo Kim |
| 2012 | ACCV | Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints. | Hansang Lee, Helen Hong, Junmo Kim |
| 2012 | ICIP | Block Poisson Method and its application to large scale image editing. | Dewey H. Lee, Seok Bong Yoo, Myungjin Choi, Jong Beom Ra, Junmo Kim |
| 2011 | CVPR | Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image. | Wonjun Hwang, Xiangsheng Huang, Kyungshik Noh, Junmo Kim |
| 2010 | GLOBECOM | Two-User Multi-Antenna Downlink Channels with Peak Power Constraints. | Ihn-Jung Baik, Sae-Young Chung, Junmo Kim |
| 2009 | ICIP | Face recognition using gender information. | Wonjun Hwang, Haibing Ren, Hyunwoo Kim, Seok-Cheol Kee, Junmo Kim |
| 2003 | ICIP | Incorporating complex statistical information in active contour-based image segmentation. | Junmo Kim, John W. Fisher III, Mjdat etin, Anthony J. Yezzi, Alan S. Willsky |
| 2002 | ICIP | Nonparametric methods for image segmentation using information theory and curve evolution. | Junmo Kim, John W. Fisher III, Anthony J. Yezzi Jr., Mjdat etin, Alan S. Willsky |
| 2002 | ICIP | A curve evolution-based variational approach to simultaneous image restoration and segmentation. | Junmo Kim, Andy Tsai, Mjdat etin, Alan S. Willsky |
| 2000 | MICCAI | Incorporating Spatial Priors into an Information Theoretic Approach for | Junmo Kim, John W. Fisher III, Andy Tsai, Cindy Wible, Alan S. Willsky, William M. Wells III |
| 1999 | MICCAI | Analysis of Functional MRI Data Using Mutual Information. | Andy Tsai, John W. Fisher III, Cindy Wible, William M. Wells III, Junmo Kim, Alan S. Willsky |