Junmo Kim

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 193

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Ji-Wung Han, Soyeon Bak, Junmo Kim, WooHyeok Choi, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain-computer interfaces. Expert Syst. Appl. 238 (Part E) (2024)
Jongsuk Kim, Jiwon Shin, Junmo Kim
AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning. CoRR (2024)
Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. CoRR (2024)
Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon
Towards Understanding Dual BN In Hybrid Adversarial Training. CoRR (2024)
Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho, Junmo Kim, Joon Son Chung
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning. CoRR (2024)
Woonghyun Ka, Jae Young Lee, Jaehyun Choi, Junmo Kim
Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency. CoRR (2024)
Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CoRR (2024)
Jae Young Lee, Woonghyun Ka, Jaehyun Choi, Junmo Kim
Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. CoRR (2024)
Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. CoRR (2024)
Junmo Kim, Min Hyuk Lim, Kwangsoo Kim, Hyung-Jin Yoon
Continual learning framework for a multicenter study with an application to electrocardiogram. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Hanbyel Cho, Junmo Kim
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models. CoRR (2023)
Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim
Frequency Selective Augmentation for Video Representation Learning. AAAI (2023)
Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. CoRR (2023)
Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim
Localization using Multi-Focal Spatial Attention for Masked Face Recognition. CoRR (2023)
Doyeon Kim, Eunji Ko, Hyunsu Kim, Yunji Kim, Junho Kim, Dongchan Min, Junmo Kim, Sung Ju Hwang
Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization. CoRR (2023)
Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. ICCV (2023)
Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim
Disposable Transfer Learning for Selective Source Task Unlearning. CoRR (2023)
Hanbyel Cho, Yooshin Cho, Jaesung Ahn, Junmo Kim
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view. CVPR (2023)
Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim
Reinforcement Learning-Based Black-Box Model Inversion Attacks. CoRR (2023)
Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. CoRR (2023)
Eojindl Yi, Junmo Kim
Test-Time Synthetic-to-Real Adaptive Depth Estimation. ICRA (2023)
Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. CoRR (2023)
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, Woo-Young 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
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CoRR (2023)
Hanbyel Cho, Yooshin Cho, Jaesung Ahn, Junmo Kim
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view. CoRR (2023)
Jae Young Lee, Jiwan Hur, Jaehyun Choi, Rae-Hong Park, Junmo Kim
Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks. Pattern Recognit. Lett. 171 (2023)
Hanbyel Cho, Junmo Kim
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models. ICCV (Workshops) (2023)
Jiwan Hur, Jae Young Lee, Jaehyun Choi, Junmo Kim
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images. WACV (2023)
Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim
Localization using Multi-Focal Spatial Attention for Masked Face Recognition. FG (2023)
Doyeon Kim, Dongyeun Lee, Donggyu Joo, Junmo Kim
Training Cartoonization Network without Cartoon. ICIP (2023)
Dong-Jae Lee, Jae Young Lee, Hyounguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim
Lightweight Monocular Depth Estimation via Token-Sharing Transformer. CoRR (2023)
Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim
Data Poisoning Attack Aiming the Vulnerability of Continual Learning. ICIP (2023)
Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim
Deep Cross-Modal Steganography Using Neural Representations. CoRR (2023)
Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. CVPR (2023)
Haeil Lee, Hansang Lee, Junmo Kim
DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation. CoRR (2023)
Jiwan Hur, Jae Young Lee, Jaehyun Choi, Junmo Kim
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images. CoRR (2023)
Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim
Disposable Transfer Learning for Selective Source Task Unlearning. ICCV (2023)
Hanbyel Cho, Jaesung Ahn, Yooshin Cho, Junmo Kim
Video Inference for Human Mesh Recovery with Vision Transformer. FG (2023)
Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim
Deep Cross-Modal Steganography Using Neural Representations. ICIP (2023)
Seoyun Yang, Sojeong Song, Chang D. Yoo, Junmo Kim
Flexible Cross-Modal Steganography via Implicit Representations. CoRR (2023)
Dong-Jae Lee, Jae Young Lee, Hyunguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim
Lightweight Monocular Depth Estimation via Token-Sharing Transformer. ICRA (2023)
Jiwan Hur, Jaehyun Choi, Gyojin Han, Dong-Jae Lee, Junmo Kim
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning. CoRR (2023)
Hoang C. Nguyen, Haeil Lee, Junmo Kim
Inspecting Explainability of Transformer Models with Additional Statistical Information. CoRR (2023)
Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim
Reinforcement Learning-Based Black-Box Model Inversion Attacks. CVPR (2023)
Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim
Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. CoRR (2022)
Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim
Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning. CoRR (2022)
Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training. CoRR (2022)
Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
Extending Contrastive Learning to Unsupervised Coreset Selection. IEEE Access 10 (2022)
Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CVPR (2022)
Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim
Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. DALI@MICCAI (2022)
Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim
Projection-based Point Convolution for Efficient Point Cloud Segmentation. CoRR (2022)
Donggyu Joo, Sunghyun Baek, Junmo Kim
Which Metrics for Network Pruning: Final Accuracy? Or Accuracy Drop? ICIP (2022)
Seung Ho Na, Hyeong Gwon Hong, Junmo Kim, Seungwon Shin
Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint. ACSAC (2022)
Youngsoo Kim, Jeonghyo Ha, Yooshin Cho, Junmo Kim
Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution. IEEE Access 10 (2022)
Sewhan Chun, Jae Young Lee, Junmo Kim
Cyclic test time augmentation with entropy weight method. UAI (2022)
Eojindl Yi, Junmo Kim
Subspace-based Feature Alignment for Unsupervised Domain Adaptation. IROS (2022)
Eojindl Yi, JuYoung Yang, Junmo Kim
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. ICRA (2022)
Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim
Rethinking Efficacy of Softmax for Lightweight Non-local Neural Networks. ICIP (2022)
Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. CoRR (2022)
Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim
Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks. CoRR (2022)
Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training. NeurIPS (2022)
Hanbyel Cho, Yekang Lee, Jaemyung Yu, Junmo Kim
Stochastic Attribute Modeling for Face Super-Resolution. CoRR (2022)
Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. CoRR (2022)
Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification. CoRR (2022)
Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim
Projection-Based Point Convolution for Efficient Point Cloud Segmentation. IEEE Access 10 (2022)
Doyeon Kim, Woonghyun Ga, Pyunghwan Ahn, Donggyu Joo, Sehwan Chun, Junmo Kim
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth. CoRR (2022)
Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. ECCV (33) (2022)
Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim
Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. IROS (2022)
Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. CoRR (2022)
Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim
Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. CoRR (2022)
Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim
Linear Combination Approximation of Feature for Channel Pruning. CVPR Workshops (2022)
Eojindl Yi, JuYoung Yang, Junmo Kim
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. CoRR (2022)
Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network. ECCV (12) (2022)
Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. WACV (2022)
Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. WACV (2022)
Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning. ICCV (2021)
Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning. CoRR (2021)
Jihee Yoo, Junmo Kim
SAR Image Generation of Ground Targets for Automatic Target Recognition Using Indirect Information. IEEE Access 9 (2021)
Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim
Joint Negative and Positive Learning for Noisy Labels. CVPR (2021)
Woo-han Yun, ByungOk Han, Jaeyeon Lee, Jaehong Kim, Junmo Kim
Target-Style-Aware Unsupervised Domain Adaptation for Object Detection. IEEE Robotics Autom. Lett. 6 (2) (2021)
JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. CoRR (2021)
Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim
Linearly Replaceable Filters for Deep Network Channel Pruning. AAAI (2021)
JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. ICCV (2021)
Jae Young Lee, Rae-Hong Park, Junmo Kim
Occlusion Handling by Successively Excluding Foregrounds for Light Field Depth Estimation Based on Foreground-Background Separation. IEEE Access 9 (2021)
Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CoRR (2021)
Pyunghwan Ahn, Hyeong Gwon Hong, Junmo Kim
Differentiable Architecture Search Based on Coordinate Descent. IEEE Access 9 (2021)
Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. CoRR (2021)
Junmo Kim, Geunbo Yang, Juhyeong Kim, Seungmin Lee, Ko Keun Kim, Cheolsoo Park
Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning. Sensors 21 (5) (2021)
Beomyoung Kim, Sangeun Han, Junmo Kim
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. AAAI (2021)
Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim
Improving Generalization of Batch Whitening by Convolutional Unit Optimization. CoRR (2021)
Beomyoung Kim, Sangeun Han, Junmo Kim
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. CoRR (2021)
Yunho Jeon, Junmo Kim
Integrating Multiple Receptive Fields Through Grouped Active Convolution. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Jung-Jae Yu, Jong-Gook Ko, Junmo Kim
Cocktail Glass Network: Fast Depth Estimation Using Channel to Space Unrolling. IEEE Access 9 (2021)
Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim
Patch-Wise Attention Network for Monocular Depth Estimation. AAAI (2021)
Byungju Kim, Hyeong Gwon Hong, Junmo Kim
De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning. WACV (2021)
Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
Extending Contrastive Learning to Unsupervised Coreset Selection. CoRR (2021)
Woo-han Yun, Taewoo Kim, Jaeyeon Lee, Jaehong Kim, Junmo Kim
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection. IEEE Access 9 (2021)
Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim
Joint Negative and Positive Learning for Noisy Labels. CoRR (2021)
Seungbum Hong, Jihun Yoon, Junmo Kim, Min-Kook Choi
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. CoRR (2021)
Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim
3D Point Cloud Upsampling and Colorization Using GAN. MIWAI (2021)
Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim
Improving Generalization of Batch Whitening by Convolutional Unit Optimization. ICCV (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Junmo Kim