Kim, Junmo

71 publications

WACV 2025 AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation Jaehyun Choi, Junwon Ko, Dong-Jae Lee, Junmo Kim

WACV 2025 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

ICCV 2025 Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Yooshin Cho, Hanbyel Cho, Janghyeon Lee, HyeongGwon Hong, Jaesung Ahn, Junmo Kim

ICCV 2025 DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization Dongyeun Lee, Jiwan Hur, Hyounguk Shon, Jae Young Lee, Junmo Kim

CVPR 2025 Efficient Dynamic Scene Editing via 4D Gaussian-Based Static-Dynamic Separation Joohyun Kwon, Hanbyel Cho, Junmo Kim

NeurIPS 2025 Frequency-Aware Token Reduction for Efficient Vision Transformer Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Jaemyung Yu, Junmo Kim

NeurIPS 2025 Preference Distillation via Value Based Reinforcement Learning Minchan Kwon, Junwon Ko, Kangil Kim, Junmo Kim

WACV 2025 Reducing the Content Bias for AI-Generated Image Detection Seoyeon Gye, Junwon Ko, Hyounguk Shon, Minchan Kwon, Junmo Kim

ICCV 2025 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

NeurIPS 2025 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

ICML 2024 EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho, Junmo Kim, Joon Son Chung

WACV 2024 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

AAAI 2024 FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim

AAAI 2024 Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim

CVPR 2024 ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao

ECCV 2024 Implicit Steganography Beyond the Constraints of Modality Sojeong Song, Seoyun Yang, Chang D. Yoo, Junmo Kim

ECCV 2024 Learning Neural Deformation Representation for 4D Dynamic Shape Generation Gyojin Han, Jiwan Hur, Jaehyun Choi, Junmo Kim

AAAI 2024 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

CVPRW 2024 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

WACV 2024 Real-Time Polyp Detection in Colonoscopy Using Lightweight Transformer Youngbeom Yoo, Jae Young Lee, Dong-Jae Lee, Jiwoon Jeon, Junmo Kim

NeurIPS 2024 Self-Supervised Transformation Learning for Equivariant Representations Jaemyung Yu, Jaehyun Choi, Dong-Jae Lee, HyeongGwon Hong, Junmo Kim

TMLR 2024 Towards Understanding Dual BN in Hybrid Adversarial Training Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon

NeurIPS 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, Junmo Kim

ICCV 2023 Disposable Transfer Learning for Selective Source Task Unlearning Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim

CVPR 2023 Fix the Noise: Disentangling Source Feature for Controllable Domain Translation Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim

AAAI 2023 Frequency Selective Augmentation for Video Representation Learning Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim

ICCVW 2023 Generative Approach for Probabilistic Human Mesh Recovery Using Diffusion Models Hanbyel Cho, Junmo Kim

WACV 2023 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

CVPR 2023 Implicit 3D Human Mesh Recovery Using Consistency with Pose and Shape from Unseen-View Hanbyel Cho, Yooshin Cho, Jaesung Ahn, Junmo Kim

ICCV 2023 Proxy Anchor-Based Unsupervised Learning for Continuous Generalized Category Discovery Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim

CVPR 2023 Reinforcement Learning-Based Black-Box Model Inversion Attacks Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim

CVPR 2022 Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement Beomyoung Kim, YoungJoon Yoo, Chae Eun Rhee, Junmo Kim

UAI 2022 Cyclic Test Time Augmentation with Entropy Weight Method Sewhan Chun, Jae Young Lee, Junmo Kim

ECCV 2022 DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim

CVPRW 2022 Linear Combination Approximation of Feature for Channel Pruning Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim

ECCV 2022 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

WACV 2022 Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim

NeurIPSW 2022 Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning Gyojin Han, Jaehyun Choi, HyeongGwon Hong, Junmo Kim

WACV 2022 TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim

NeurIPS 2022 UniCLIP: Unified Framework for Contrastive Language-Image Pre-Training Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim

ICCV 2021 Camera Distortion-Aware 3D Human Pose Estimation in Video with Optimization-Based Meta-Learning Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim

WACV 2021 De-Biasing Neural Networks with Estimated Offset for Class Imbalanced Learning Byungju Kim, Hyeong Gwon Hong, Junmo Kim

AAAI 2021 Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation Beomyoung Kim, Sangeun Han, Junmo Kim

ICCV 2021 Improving Generalization of Batch Whitening by Convolutional Unit Optimization Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim

CVPR 2021 Joint Negative and Positive Learning for Noisy Labels Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim

AAAI 2021 Linearly Replaceable Filters for Deep Network Channel Pruning Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim

AAAI 2021 Patch-Wise Attention Network for Monocular Depth Estimation Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim

ICCV 2021 Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning Juyoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim

AAAI 2020 Residual Continual Learning Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim

ECCV 2020 Weight Decay Scheduling and Knowledge Distillation for Active Learning Juseung Yun, Byungjoo Kim, Junmo Kim

WACV 2019 Learning Receptive Field Size by Learning Filter Size Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim

NeurIPS 2018 Constructing Fast Network Through Deconstruction of Convolution Yunho Jeon, Junmo Kim

AAAI 2018 Less-Forgetful Learning for Domain Expansion in Deep Neural Networks Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim

UAI 2018 Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling Sihyeon Seong, Yegang Lee, Youngwook Kee, Dongyoon Han, Junmo Kim

CVPR 2017 A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning Junho Yim, Donggyu Joo, Jihoon Bae, Junmo Kim

CVPR 2017 Active Convolution: Learning the Shape of Convolution for Image Classification Yunho Jeon, Junmo Kim

CVPR 2017 Deep Pyramidal Residual Networks Dongyoon Han, Jiwhan Kim, Junmo Kim

CVPR 2016 Deep Saliency with Encoded Low Level Distance mAP and High Level Features Gayoung Lee, Yu-Wing Tai, Junmo Kim

CVPRW 2016 Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement Hansang Lee, Junmo Kim

AAAI 2016 Supervised Hashing via Uncorrelated Component Analysis SungRyull Sohn, Hyunwoo Kim, Junmo Kim

ICCV 2015 Entropy Minimization for Convex Relaxation Approaches Mohamed Souiai, Martin R. Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, Daniel Cremers

ICCV 2015 Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, Junmo Kim

AAAI 2015 On the Equivalence of Linear Discriminant Analysis and Least Squares Kibok Lee, Junmo Kim

CVPR 2015 Rotating Your Face Using Multi-Task Deep Neural Network Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Dusik Park, Junmo Kim

CVPR 2015 Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection Dongyoon Han, Junmo Kim

CVPR 2014 A Convex Relaxation of the Ambrosio--Tortorelli Elliptic Functionals for the Mumford-Shah Functional Youngwook Kee, Junmo Kim

CVPR 2014 Rigid Motion Segmentation Using Randomized Voting Heechul Jung, Jeongwoo Ju, Junmo Kim

CVPR 2014 Salient Region Detection via High-Dimensional Color Transform Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim

CVPR 2014 Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation Youngwook Kee, Mohamed Souiai, Daniel Cremers, Junmo Kim

ICCV 2013 Markov Network-Based Unified Classifier for Face Identification Wonjun Hwang, Kyungshik Roh, Junmo Kim

CVPRW 2011 Face Recognition System Using Extended Curvature Gabor Classifier Bunch for Low-Resolution Face Image Wonjun Hwang, Xiangsheng Huang, Kyungshik Noh, Junmo Kim