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ORCIDJunmo Kim 0002
Jun-Mo Kim 0002
Person information
- affiliation: Korea Advanced Institute of Science and Technology, KAIST, School of Electrical Engineering, Korea
Other persons with the same name
- Junmo Kim (aka: Jun-Mo Kim) — disambiguation page
- Junmo Kim 0001
![[0000-0002-2238-3255]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2238-3255")
(aka: Jun-Mo Kim 0001) — Korea University, Department of Artificial Intelligence, Seoul, Korea - Junmo Kim 0004 (aka: Jun-Mo Kim 0004) — Samsung Advanced Institute of Technology, Communication and Network Laboratory, Yongin, Korea (and 1 more)
- Jun-Mo Kim 0003 — Chung-Ang University, Department of Animal Science and Technology, Korea
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2020 – today
- 2024
[c115]Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim:
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. AAAI 2024: 2883-2891- [c114]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. AAAI 2024: 2901-2910 - [c113]Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim:
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. AAAI 2024: 12473-12481 - [c112]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. WACV 2024: 5016-5025 - [c111]Youngbeom Yoo, Jae Young Lee, Dong-Jae Lee, Jiwoon Jeon, Junmo Kim:
Real-Time Polyp Detection in Colonoscopy using Lightweight Transformer. WACV 2024: 7794-7804 - [i61]Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim:
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. CoRR abs/2401.06159 (2024) - [i60]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 abs/2401.10050 (2024) - [i59]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 abs/2401.12001 (2024) - [i58]Woonghyun Ka, Jae Young Lee, Jaehyun Choi, Junmo Kim:
Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency. CoRR abs/2401.12019 (2024) - 2023
- [j40]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: 138-147 (2023) - [c110]Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim:
Frequency Selective Augmentation for Video Representation Learning. AAAI 2023: 1124-1132 - [c109]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: 14224-14234 - [c108]Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim:
Reinforcement Learning-Based Black-Box Model Inversion Attacks. CVPR 2023: 20504-20513 - [c107]Hanbyel Cho, Yooshin Cho, Jaesung Ahn, Junmo Kim:
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view. CVPR 2023: 21148-21158 - [c106]Hanbyel Cho, Jaesung Ahn, Yooshin Cho, Junmo Kim:
Video Inference for Human Mesh Recovery with Vision Transformer. FG 2023: 1-6 - [c105]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: 1-6 - [c104]Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim:
Disposable Transfer Learning for Selective Source Task Unlearning. ICCV 2023: 11718-11726 - [c103]Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. ICCV 2023: 16642-16651 - [c102]Hanbyel Cho, Junmo Kim:
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models. ICCV (Workshops) 2023: 4185-4190 - [c101]Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim:
Deep Cross-Modal Steganography Using Neural Representations. ICIP 2023: 1205-1209 - [c100]Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim:
Data Poisoning Attack Aiming the Vulnerability of Continual Learning. ICIP 2023: 1905-1909 - [c99]Doyeon Kim, Dongyeun Lee, Donggyu Joo, Junmo Kim:
Training Cartoonization Network without Cartoon. ICIP 2023: 3185-3189 - [c98]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: 4895-4901 - [c97]Eojindl Yi, Junmo Kim:
Test-Time Synthetic-to-Real Adaptive Depth Estimation. ICRA 2023: 4938-4944 - [c96]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: 229-238 - [i57]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 abs/2301.06392 (2023) - [i56]Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim:
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. CoRR abs/2303.11545 (2023) - [i55]Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim:
Reinforcement Learning-Based Black-Box Model Inversion Attacks. CoRR abs/2304.04625 (2023) - [i54]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 abs/2305.01905 (2023) - [i53]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 abs/2305.19135 (2023) - [i52]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 abs/2306.05682 (2023) - [i51]Hanbyel Cho, Yooshin Cho, Jaesung Ahn, Junmo Kim:
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view. CoRR abs/2306.17651 (2023) - [i50]Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim:
Deep Cross-Modal Steganography Using Neural Representations. CoRR abs/2307.08671 (2023) - [i49]Haeil Lee, Hansang Lee, Junmo Kim:
DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation. CoRR abs/2307.09136 (2023) - [i48]Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. CoRR abs/2307.10943 (2023) - [i47]Hanbyel Cho, Junmo Kim:
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models. CoRR abs/2308.02963 (2023) - [i46]Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim:
Disposable Transfer Learning for Selective Source Task Unlearning. CoRR abs/2308.09971 (2023) - [i45]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 abs/2311.01018 (2023) - [i44]Hoang C. Nguyen, Haeil Lee, Junmo Kim:
Inspecting Explainability of Transformer Models with Additional Statistical Information. CoRR abs/2311.11378 (2023) - [i43]Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim:
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. CoRR abs/2312.12488 (2023) - 2022
- [j39]Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim:
Extending Contrastive Learning to Unsupervised Coreset Selection. IEEE Access 10: 7704-7715 (2022) - [j38]Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim:
Projection-Based Point Convolution for Efficient Point Cloud Segmentation. IEEE Access 10: 15348-15358 (2022) - [j37]Youngsoo Kim, Jeonghyo Ha, Yooshin Cho, Junmo Kim:
Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution. IEEE Access 10: 45179-45189 (2022) - [c95]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: 332-345 - [c94]Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim:
Linear Combination Approximation of Feature for Channel Pruning. CVPR Workshops 2022: 2771-2780 - [c93]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: 4268-4277 - [c92]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: 121-136 - [c91]Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim:
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. ECCV (33) 2022: 513-529 - [c90]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: 1031-1035 - [c89]Donggyu Joo, Sunghyun Baek, Junmo Kim:
Which Metrics for Network Pruning: Final Accuracy? Or Accuracy Drop? ICIP 2022: 1071-1075 - [c88]Eojindl Yi, JuYoung Yang, Junmo Kim:
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. ICRA 2022: 1-7 - [c87]Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim:
Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. IROS 2022: 8360-8367 - [c86]Eojindl Yi, Junmo Kim:
Subspace-based Feature Alignment for Unsupervised Domain Adaptation. IROS 2022: 10163-10169 - [c85]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: 74-82 - [c84]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 - [c83]Sewhan Chun, Jae Young Lee, Junmo Kim:
Cyclic test time augmentation with entropy weight method. UAI 2022: 433-442 - [c82]Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim:
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. WACV 2022: 2947-2956 - [c81]Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim:
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. WACV 2022: 3421-3430 - [i42]Doyeon Kim, Woonghyun Ka, Pyunghwan Ahn, Donggyu Joo, Sewhan Chun, Junmo Kim:
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth. CoRR abs/2201.07436 (2022) - [i41]Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim:
Projection-based Point Convolution for Efficient Point Cloud Segmentation. CoRR abs/2202.01991 (2022) - [i40]Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim:
Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. CoRR abs/2204.03865 (2022) - [i39]Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim:
Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. CoRR abs/2204.14079 (2022) - [i38]Eojindl Yi, JuYoung Yang, Junmo Kim:
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. CoRR abs/2205.11419 (2022) - [i37]Hanbyel Cho, Yekang Lee, Jaemyung Yu, Junmo Kim:
Stochastic Attribute Modeling for Face Super-Resolution. CoRR abs/2207.07945 (2022) - [i36]Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim:
Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks. CoRR abs/2207.13423 (2022) - [i35]Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim:
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. CoRR abs/2208.08112 (2022) - [i34]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 abs/2209.13430 (2022) - [i33]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 abs/2211.10938 (2022) - [i32]Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim:
Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning. CoRR abs/2211.15875 (2022) - [i31]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 abs/2212.00214 (2022) - [i30]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 abs/2212.00479 (2022) - 2021
- [j36]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: 14319-14329 (2021) - [j35]Jihee Yoo, Junmo Kim:
SAR Image Generation of Ground Targets for Automatic Target Recognition Using Indirect Information. IEEE Access 9: 27003-27014 (2021) - [j34]Pyunghwan Ahn, Hyeong Gwon Hong, Junmo Kim:
Differentiable Architecture Search Based on Coordinate Descent. IEEE Access 9: 48544-48554 (2021) - [j33]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: 103927-103936 (2021) - [j32]Jung-Jae Yu, Jong-Gook Ko, Junmo Kim:
Cocktail Glass Network: Fast Depth Estimation Using Channel to Space Unrolling. IEEE Access 9: 114680-114689 (2021) - [j31]Yunho Jeon, Junmo Kim:
Integrating Multiple Receptive Fields Through Grouped Active Convolution. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3892-3903 (2021) - [j30]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): 3825-3832 (2021) - [c80]Beomyoung Kim, Sangeun Han, Junmo Kim:
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. AAAI 2021: 1754-1761 - [c79]Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim:
Patch-Wise Attention Network for Monocular Depth Estimation. AAAI 2021: 1873-1881 - [c78]Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim:
Linearly Replaceable Filters for Deep Network Channel Pruning. AAAI 2021: 8021-8029 - [c77]Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim:
Joint Negative and Positive Learning for Noisy Labels. CVPR 2021: 9442-9451 - [c76]Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim:
Improving Generalization of Batch Whitening by Convolutional Unit Optimization. ICCV 2021: 5301-5309 - [c75]JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim:
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. ICCV 2021: 6393-6402 - [c74]Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim:
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning. ICCV 2021: 11149-11158 - [c73]Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim:
3D Point Cloud Upsampling and Colorization Using GAN. MIWAI 2021: 1-13 - [c72]Byungju Kim, Hyeong Gwon Hong, Junmo Kim:
De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning. WACV 2021: 1478-1486 - [i29]Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim:
Extending Contrastive Learning to Unsupervised Coreset Selection. CoRR abs/2103.03574 (2021) - [i28]Beomyoung Kim, Sangeun Han, Junmo Kim:
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. CoRR abs/2103.07246 (2021) - [i27]Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim:
Joint Negative and Positive Learning for Noisy Labels. CoRR abs/2104.06574 (2021) - [i26]Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim:
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. CoRR abs/2104.11435 (2021) - [i25]Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim:
Improving Generalization of Batch Whitening by Convolutional Unit Optimization. CoRR abs/2108.10629 (2021) - [i24]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 abs/2109.09477 (2021) - [i23]Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim:
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning. CoRR abs/2111.15056 (2021) - [i22]JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim:
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. CoRR abs/2112.05213 (2021) - 2020
- [j29]Sihaeng Lee, Janghyeon Lee, Doyeon Kim, Junmo Kim:
Deep Architecture With Cross Guidance Between Single Image and Sparse LiDAR Data for Depth Completion. IEEE Access 8: 79801-79810 (2020) - [j28]Byungju Kim, Junmo Kim:
Adjusting Decision Boundary for Class Imbalanced Learning. IEEE Access 8: 81674-81685 (2020) - [j27]Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim:
RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation. IEEE Access 8: 106097-106108 (2020) - [j26]Jeonghyo Ha, Youngsoo Kim, Junmo Kim:
Single Image Super-Resolution via Similarity Between Spatially Scattered Features. IEEE Access 8: 137672-137682 (2020) - [j25]Doyeon Kim, Sihaeng Lee, Janghyeon Lee, Junmo Kim:
Leveraging Contextual Information for Monocular Depth Estimation. IEEE Access 8: 147808-147817 (2020) - [j24]Doyeon Kim, Donggyu Joo, Junmo Kim:
TiVGAN: Text to Image to Video Generation With Step-by-Step Evolutionary Generator. IEEE Access 8: 153113-153122 (2020) - [j23]ByungIn Yoo, Tristan Sylvain, Yoshua Bengio, Junmo Kim:
Joint Learning of Generative Translator and Classifier for Visually Similar Classes. IEEE Access 8: 219160-219173 (2020) - [j22]Woo-han Yun, Dongjin Lee, Chankyu Park, Jaehong Kim, Junmo Kim:
Automatic Recognition of Children Engagement from Facial Video Using Convolutional Neural Networks. IEEE Trans. Affect. Comput. 11(4): 696-707 (2020) - [j21]Ji-Hoon Bae, Doyeob Yeo, Junho Yim, Nae-Soo Kim, Cheol Sig Pyo, Junmo Kim:
Densely Distilled Flow-Based Knowledge Transfer in Teacher-Student Framework for Image Classification. IEEE Trans. Image Process. 29: 5698-5710 (2020) - [c71]Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim:
Residual Continual Learning. AAAI 2020: 4553-4560 - [c70]Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim:
Continual Learning With Extended Kronecker-Factored Approximate Curvature. CVPR 2020: 8998-9007 - [c69]Jinhyung Kim, Seunghwan Cha, Dongyoon Wee, Soonmin Bae, Junmo Kim:
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition. CVPR 2020: 12100-12109 - [c68]Juseung Yun, Byungjoo Kim, Junmo Kim:
Weight Decay Scheduling and Knowledge Distillation for Active Learning. ECCV (26) 2020: 431-447 - [c67]Donggyu Joo, Doyeon Kim, Junmo Kim:
Slimming ResNet by Slimming Shortcut. ICPR 2020: 7677-7683 - [c66]Doyeon Kim, Donggyu Joo, Junmo Kim:
Delivering Meaningful Representation for Monocular Depth Estimation. ICPR 2020: 7790-7795 - [c65]JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim:
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. IROS 2020: 8469-8475 - [c64]Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim:
Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression. Medical Imaging: Computer-Aided Diagnosis 2020 - [i21]Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim:
Residual Continual Learning. CoRR abs/2002.06774 (2020) - [i20]Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim:
Continual Learning with Extended Kronecker-factored Approximate Curvature. CoRR abs/2004.07507 (2020) - [i19]Doyeon Kim, Donggyu Joo, Junmo Kim:
TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator. CoRR abs/2009.02018 (2020) - [i18]Byungju Kim, Jaeyoung Lee, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Collaborative Method for Incremental Learning on Classification and Generation. CoRR abs/2010.15378 (2020) - [i17]JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim:
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. CoRR abs/2011.00988 (2020)
2010 – 2019
- 2019
- [j20]Heechul Jung, Jeongwoo Ju, Wonjun Hwang, Junmo Kim:
Refining background subtraction using consistent motion detection in adverse weather. J. Electronic Imaging 28(2): 020501 (2019) - [j19]Heechul Jung, Jeongwoo Ju, Junmo Kim:
Randomized Voting-Based Rigid-Body Motion Segmentation. IEEE Trans. Circuits Syst. Video Technol. 29(3): 698-713 (2019) - [j18]Hyunwoo Kim, SungRyull Sohn, Junmo Kim:
Revisiting Gist-PCA Hashing for Near Duplicate Image Detection. J. Signal Process. Syst. 91(6): 575-586 (2019) - [c63]Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Learning Not to Learn: Training Deep Neural Networks With Biased Data. CVPR 2019: 9012-9020 - [c62]Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim:
NLNL: Negative Learning for Noisy Labels. ICCV 2019: 101-110 - [c61]Byungju Kim, Jaeyoung Lee, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Collaborative Method for Incremental Learning on Classification and Generation. ICIP 2019: 390-394 - [c60]Jaeyoung Lee, Yekang Lee, Sihyeon Seong, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Capturing Long-Range Dependencies in Video Captioning. ICIP 2019: 1880-1884 - [c59]Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim:
Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks. PRIME@MICCAI 2019: 168-176 - [c58]Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim:
Learning Receptive Field Size by Learning Filter Size. WACV 2019: 1203-1212 - [i16]Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim:
RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation. CoRR abs/1907.09707 (2019) - [i15]Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim:
NLNL: Negative Learning for Noisy Labels. CoRR abs/1908.07387 (2019) - [i14]Woo-han Yun, Jaeyeon Lee, Jaehong Kim, Junmo Kim:
Balancing Domain Gap for Object Instance Detection. CoRR abs/1909.11972 (2019) - [i13]Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim:
EDAS: Efficient and Differentiable Architecture Search. CoRR abs/1912.01237 (2019) - 2018
- [j17]Wonjun Hwang, Junmo Kim:
Example image-based feature extraction for face recognition. Multim. Tools Appl. 77(18): 23429-23447 (2018) - [j16]Gayoung Lee, Yu-Wing Tai, Junmo Kim:
ELD-Net: An Efficient Deep Learning Architecture for Accurate Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1599-1610 (2018) - [j15]So-Hyun Kim, Gwang-Il Jang, Sungho Kim, Junmo Kim:
Computationally Efficient Automatic Coast Mode Target Tracking Based on Occlusion Awareness in Infrared Images. Sensors 18(4): 996 (2018) - [j14]ByungIn Yoo, Youngjun Kwak, Youngsung Kim, Changkyu Choi, Junmo Kim:
Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion. IEEE Signal Process. Lett. 25(6): 808-812 (2018) - [j13]Dongyoon Han, Junmo Kim:
Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6083-6098 (2018) - [c57]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. AAAI 2018: 3358-3365 - [c56]Donggyu Joo, Junho Yim, Junmo Kim:
Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. BMVC 2018: 45 - [c55]Donggyu Joo, Doyeon Kim, Junmo Kim:
Generating a Fusion Image: One's Identity and Another's Shape. CVPR 2018: 1635-1643 - [c54]Doyeob Yeo, Ji-Hoon Bae, Nae-Soo Kim, Cheol-Sik Pyo, Junho Yim, Junmo Kim:
Sequential Knowledge Transfer in Teacher-Student Framework Using Densely Distilled Flow-Based Information. ICIP 2018: 674-678 - [c53]Hansang Lee, Helen Hong, Junmo Kim:
BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling. ISBI 2018: 1538-1541 - [c52]Jinhyung Kim, Chanho Lee, Junmo Kim:
Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning. MIWAI 2018: 58-68 - [c51]Yunho Jeon, Junmo Kim:
Constructing Fast Network through Deconstruction of Convolution. NeurIPS 2018: 5955-5965 - [c50]Sihyeon Seong, Yegang Lee, Youngwook Kee, Dongyoon Han, Junmo Kim:
Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. UAI 2018: 1020-1030 - [i12]Donggyu Joo, Doyeon Kim, Junmo Kim:
Generating a Fusion Image: One's Identity and Another's Shape. CoRR abs/1804.07455 (2018) - [i11]Yunho Jeon, Junmo Kim:
Constructing Fast Network through Deconstruction of Convolution. CoRR abs/1806.07370 (2018) - [i10]Yunho Jeon, Junmo Kim:
Integrating Multiple Receptive Fields through Grouped Active Convolution. CoRR abs/1811.04387 (2018) - [i9]Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Learning Not to Learn: Training Deep Neural Networks with Biased Data. CoRR abs/1812.10352 (2018) - 2017
- [j12]Youngwook Kee, Yegang Lee, Mohamed Souiai, Daniel Cremers, Junmo Kim:
Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization. SIAM J. Imaging Sci. 10(4): 1845-1877 (2017) - [j11]Matthieu de La Roche Saint Andre, Laura Rieger, Morten Hannemose, Junmo Kim:
Tunnel Effect in CNNs: Image Reconstruction From Max Switch Locations. IEEE Signal Process. Lett. 24(3): 254-258 (2017) - [j10]Sungryull Sohn, Hyunwoo Kim, Junmo Kim:
Uncorrelated Component Analysis-Based Hashing. IEEE Trans. Image Process. 26(8): 3759-3774 (2017) - [c49]Yunho Jeon, Junmo Kim:
Active Convolution: Learning the Shape of Convolution for Image Classification. CVPR 2017: 1846-1854 - [c48]Dongyoon Han, Jiwhan Kim, Junmo Kim:
Deep Pyramidal Residual Networks. CVPR 2017: 6307-6315 - [c47]Junho Yim, Donggyu Joo, Ji-Hoon Bae, Junmo Kim:
A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning. CVPR 2017: 7130-7138 - [c46]Hansang Lee, Helen Hong, Junmo Kim:
Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification. ISBI 2017: 583-586 - [c45]Jaemyung Lee, Sihaeng Lee, Youngdong Kim, Janghyeon Lee, Junmo Kim:
Refine pedestrian detections by referring to features in different ways. Intelligent Vehicles Symposium 2017: 418-423 - [c44]Hansang Lee, Minseok Park, Junmo Kim:
Cephalometric landmark detection in dental x-ray images using convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2017: 101341W - [c43]Haeil Lee, Hansang Lee, Minseok Park, Junmo Kim:
Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches. Medical Imaging: Computer-Aided Diagnosis 2017: 1013423 - [c42]Minju Jung, Junmo Kim:
Selective Filter Transfer. RiTA 2017: 27-33 - [c41]Sihyeon Seong, Chanho Lee, Junmo Kim:
Improving Deep Neural Networks by Adding Auxiliary Information. RiTA 2017: 35-41 - [c40]Doyeon Kim, Haechang Jung, Jaeyoung Lee, Junmo Kim:
Improved InfoGAN: Generating High Quality Images with Learning Disentangled Representation. RiTA 2017: 43-48 - [c39]Jeongwoo Ju, Junho Yim, Sihaeng Lee, Junmo Kim:
An Exploration of the Power of Max Switch Locations in CNNs. RiTA 2017: 63-72 - [c38]Jiwhan Kim, Dongyoon Han, Wonjun Hwang, Junmo Kim:
3D face recognition via discriminative keypoint selection. URAI 2017: 477-480 - [i8]Byungju Kim, Youngsoo Kim, Yeakang Lee, Junmo Kim:
Mimicking Ensemble Learning with Deep Branched Networks. CoRR abs/1702.06376 (2017) - [i7]Yunho Jeon, Junmo Kim:
Active Convolution: Learning the Shape of Convolution for Image Classification. CoRR abs/1703.09076 (2017) - [i6]Han S. Lee, Alex A. Agarwal, Junmo Kim:
Why Do Deep Neural Networks Still Not Recognize These Images?: A Qualitative Analysis on Failure Cases of ImageNet Classification. CoRR abs/1709.03439 (2017) - [i5]Han S. Lee, Heechul Jung, Alex A. Agarwal, Junmo Kim:
Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models. CoRR abs/1709.03806 (2017) - [i4]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-forgetful Learning for Domain Expansion in Deep Neural Networks. CoRR abs/1711.05959 (2017) - 2016
- [j9]Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim:
Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support. IEEE Trans. Image Process. 25(1): 9-23 (2016) - [c37]SungRyull Sohn, Hyunwoo Kim, Junmo Kim:
Supervised Hashing via Uncorrelated Component Analysis. AAAI 2016: 236-242 - [c36]Pyunghwan Ahn, Dong-Hoon Shin, Junmo Kim:
Thinning deep neural networks for sketch recognition. APSIPA 2016: 1-4 - [c35]Hansang Lee, Junmo Kim:
Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement. CVPR Workshops 2016: 1367-1373 - [c34]Injae Lee, Heechul Jung, Chunghyun Ahn, Jeongil Seo, Junmo Kim, Ohseok Kwon:
Real-time personalized facial expression recognition system based on deep learning. ICCE 2016: 267-268 - [c33]Sunjeong Park, Hansang Lee, Junmo Kim:
Seed growing for interactive image segmentation with geodesic voting. ICIP 2016: 2564-2568 - [c32]Hansang Lee, Minseok Park, Junmo Kim:
Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning. ICIP 2016: 3713-3717 - [c31]Hansang Lee, Hyeun A. Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, Junmo Kim:
Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations. Medical Imaging: Computer-Aided Diagnosis 2016: 97853H - [i3]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-forgetting Learning in Deep Neural Networks. CoRR abs/1607.00122 (2016) - [i2]Dongyoon Han, Jiwhan Kim, Junmo Kim:
Deep Pyramidal Residual Networks. CoRR abs/1610.02915 (2016) - 2015
- [j8]Wonjun Hwang, Xiangsheng Huang, Stan Z. Li, Junmo Kim:
Face recognition using Extended Curvature Gabor classifier bunch. Pattern Recognit. 48(4): 1247-1260 (2015) - [j7]Youngwook Kee, Hansang Lee, Junho Yim, Daniel Cremers, Junmo Kim:
Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications. IEEE Signal Process. Lett. 22(11): 1922-1926 (2015) - [j6]Wonjun Hwang, Junmo Kim:
Markov Network-Based Unified Classifier for Face Recognition. IEEE Trans. Image Process. 24(11): 4263-4275 (2015) - [c30]Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Du-Sik Park, Junmo Kim:
Rotating your face using multi-task deep neural network. CVPR 2015: 676-684 - [c29]Dongyoon Han, Junmo Kim:
Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection. CVPR 2015: 5016-5023 - [c28]Heechul Jung, Sihaeng Lee, Sunjeong Park, Byungju Kim, Junmo Kim, Injae Lee, Chunghyun Ahn:
Development of deep learning-based facial expression recognition system. FCV 2015: 1-4 - [c27]Jeongwoo Ju, Dongwoon Han, Jiwhan Kim, Injae Lee, Jihun Cha, Junmo Kim:
A new control owner switching system for multiple TV viewers via face recognition. ICCE 2015: 323-326 - [c26]Mohamed Souiai, Martin R. Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, Daniel Cremers:
Entropy Minimization for Convex Relaxation Approaches. ICCV 2015: 1778-1786 - [c25]Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, Junmo Kim:
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. ICCV 2015: 2983-2991 - [c24]Jiwhan Kim, Dongyoon Han, Sungryull Sohn, Junmo Kim:
Facial age estimation via extended curvature Gabor filter. ICIP 2015: 1165-1169 - [c23]Yeakang Lee, Jiwhan Kim, Minju Jung, Junmo Kim:
Making a More Reliable Classifier via Random Crop Pooling. RiTA 2015: 309-318 - [i1]Heechul Jung, Sihaeng Lee, Sunjeong Park, Injae Lee, Chunghyun Ahn, Junmo Kim:
Deep Temporal Appearance-Geometry Network for Facial Expression Recognition. CoRR abs/1503.01532 (2015) - 2014
- [j5]Hansang Lee, Helen Hong, Junmo Kim:
Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement. Comput. Biol. Medicine 55: 1-10 (2014) - [c22]ByungIn Yoo, Changkyu Choi, Jae-Joon Han, Chang-Kyo Lee, Wonjun Kim, Sungjoo Suh, Dusik Park, Junmo Kim:
Real-time 3D human pose recognition from reconstructed volume via voxel classifiers. Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014: 901306 - [c21]ByungIn Yoo, Changkyu Choi, Nam-Joon Kim, Jae-Joon Han, Dusik Park, Junmo Kim:
RoVatar: semi-autonomous robot boxing game by miniature avatars. CHI Extended Abstracts 2014: 1465-1470 - [c20]Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim:
Salient Region Detection via High-Dimensional Color Transform. CVPR 2014: 883-890 - [c19]Heechul Jung, Jeongwoo Ju, Junmo Kim:
Rigid Motion Segmentation Using Randomized Voting. CVPR 2014: 1210-1217 - [c18]Youngwook Kee, Junmo Kim:
A Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functionals for the Mumford-Shah Functional. CVPR 2014: 4074-4081 - [c17]Youngwook Kee, Mohamed Souiai, Daniel Cremers, Junmo Kim:
Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation. CVPR 2014: 4082-4089 - [c16]ByungIn Yoo, Wonjun Kim, Jae-Joon Han, Changkyu Choi, Dusik Park, Junmo Kim:
Randomized decision bush: Combining global shape parameters and local scalable descriptors for human body parts recognition. ICIP 2014: 1560-1564 - [c15]Junho Yim, Jeongwoo Ju, Heechul Jung, Junmo Kim:
Image Classification Using Convolutional Neural Networks With Multi-stage Feature. RiTA 2014: 587-594 - [c14]Sojung Yun, Junmo Kim:
Face Verification Across Pose via Look-Alike Ranked List Comparison. RiTA 2014: 655-662 - 2013
- [c13]Jeongwoo Ju, Heechul Jung, Junmo Kim:
Speaker dependent visual speech recognition using Extended Curvature Gabor filters. ICCE 2013: 314-315 - [c12]SungRyull Sohn, Hansang Lee, Heechul Jung, Junmo Kim:
High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices. ICCE 2013: 655-656 - [c11]Jiwhan Kim, Hansang Lee, Junmo Kim:
A novel method for salient object detection via compactness measurement. ICIP 2013: 3426-3430 - [c10]Wonjun Hwang, Kyungshik Noh, Junmo Kim:
Markov network-based multiple classifier for face image retrieval. ICIP 2013: 3685-3689 - [c9]Heechul Jung, Junggon Min, Junmo Kim:
An efficient lane detection algorithm for lane departure detection. Intelligent Vehicles Symposium 2013: 976-981 - [c8]Hansang Lee, Jiwhan Kim, Junmo Kim:
Automatic Salient Object Detection Using Principal Component Analysis. RiTA 2013: 717-723 - 2012
- [j4]Ihn-Jung Baik, Sae-Young Chung, Junmo Kim:
Achievable Rates of Multi-Antenna Downlink Channels with Peak Power Constraints. IEEE Trans. Commun. 60(8): 2199-2207 (2012) - [c7]Hansang Lee, Helen Hong, Junmo Kim:
Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints. ACCV (2) 2012: 305-315 - [c6]Youngwook Kee, Daniel Cremers, Junmo Kim:
Groupwise Shape Registration Based on Entropy Minimization. DAGM/OAGM Symposium 2012: 347-356 - [c5]Dewey H. Lee, Seok Bong Yoo, Myungjin Choi, Jong Beom Ra, Junmo Kim:
Block Poisson Method and its application to large scale image editing. ICIP 2012: 2121-2124 - [c4]Jeongwoo Ju, Heechul Jung, Junmo Kim:
Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment. RiTA 2012: 1015-1022 - [c3]Sandeul Kang, Hansang Lee, Jiwhan Kim, Junmo Kim:
Automatic Image Segmentation Using Saliency Detection and Superpixel Graph Cuts. RiTA 2012: 1023-1034 - 2011
- [j3]Wonjun Hwang, Haitao Wang, Hyunwoo Kim, Seok-Cheol Kee, Junmo Kim:
Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation. IEEE Trans. Image Process. 20(4): 1152-1165 (2011) - 2010
- [j2]Dae-Won Seo, Sang-Woon Jeon, Sae-Young Chung, Junmo Kim:
Rate Enhancement for the Gaussian Z-Interference Channel with Transmitter Cooperation. IEEE Commun. Lett. 14(9): 821-823 (2010) - [c2]Ihn-Jung Baik, Sae-Young Chung, Junmo Kim:
Two-User Multi-Antenna Downlink Channels with Peak Power Constraints. GLOBECOM 2010: 1-5
2000 – 2009
- 2009
- [c1]Wonjun Hwang, Haibing Ren, Hyunwoo Kim, Seok-Cheol Kee, Junmo Kim:
Face recognition using gender information. ICIP 2009: 4129-4132 - 2008
- [j1]Duckdong Hwang, Junmo Kim, Sungjin Kim:
Resource Partitioning with Beamforming for the Decode-Forward Relay Networks. EURASIP J. Wirel. Commun. Netw. 2008 (2008)
Coauthor Index
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