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Junmo 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 (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
- [j43]Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim:
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. Eng. Appl. Artif. Intell. 131: 107842 (2024) - [j42]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. Knowl. Based Syst. 293: 111692 (2024) - [j41]Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon:
Towards Understanding Dual BN In Hybrid Adversarial Training. Trans. Mach. Learn. Res. 2024 (2024) - [c121]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 - [c120]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 - [c119]Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim:
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. AAAI 2024: 12473-12481 - [c118]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:
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CVPR Workshops 2024: 7356-7365 - [c117]Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao:
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CVPR 2024: 21752-21762 - [c116]Woonghyun Ka, Jae Young Lee, Jaehyun Choi, Junmo Kim:
Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency. ICASSP 2024: 3840-3844 - [c115]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 - [c114]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 - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao:
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CoRR abs/2403.18775 (2024) - [i65]Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon:
Towards Understanding Dual BN In Hybrid Adversarial Training. CoRR abs/2403.19150 (2024) - [i64]Youngtaek Oh, Pyunghwan Ahn, Jinhyung Kim, Gwangmo Song, Soonyoung Lee, In So Kweon, Junmo Kim:
Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition. CoRR abs/2406.09388 (2024) - [i63]Haeil Lee, Hansang Lee, Seoyeon Gye, Junmo Kim:
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis. CoRR abs/2407.12173 (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) - [c113]Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim:
Frequency Selective Augmentation for Video Representation Learning. AAAI 2023: 1124-1132 - [c112]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 - [c111]Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim:
Reinforcement Learning-Based Black-Box Model Inversion Attacks. CVPR 2023: 20504-20513 - [c110]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 - [c109]Hanbyel Cho, Jaesung Ahn, Yooshin Cho, Junmo Kim:
Video Inference for Human Mesh Recovery with Vision Transformer. FG 2023: 1-6 - [c108]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 - [c107]Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim:
Disposable Transfer Learning for Selective Source Task Unlearning. ICCV 2023: 11718-11726 - [c106]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 - [c105]Hanbyel Cho, Junmo Kim:
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models. ICCV (Workshops) 2023: 4185-4190 - [c104]Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim:
Deep Cross-Modal Steganography Using Neural Representations. ICIP 2023: 1205-1209 - [c103]Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim:
Data Poisoning Attack Aiming the Vulnerability of Continual Learning. ICIP 2023: 1905-1909 - [c102]Doyeon Kim, Dongyeun Lee, Donggyu Joo, Junmo Kim:
Training Cartoonization Network without Cartoon. ICIP 2023: 3185-3189 - [c101]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 - [c100]Eojindl Yi, Junmo Kim:
Test-Time Synthetic-to-Real Adaptive Depth Estimation. ICRA 2023: 4938-4944 - [c99]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 - [i62]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) - [i61]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) - [i60]Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim:
Reinforcement Learning-Based Black-Box Model Inversion Attacks. CoRR abs/2304.04625 (2023) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim:
Deep Cross-Modal Steganography Using Neural Representations. CoRR abs/2307.08671 (2023) - [i54]Haeil Lee, Hansang Lee, Junmo Kim:
DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation. CoRR abs/2307.09136 (2023) - [i53]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) - [i52]Hanbyel Cho, Junmo Kim:
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models. CoRR abs/2308.02963 (2023) - [i51]Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim:
Disposable Transfer Learning for Selective Source Task Unlearning. CoRR abs/2308.09971 (2023) - [i50]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 abs/2309.01961 (2023) - [i49]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) - [i48]Hoang C. Nguyen, Haeil Lee, Junmo Kim:
Inspecting Explainability of Transformer Models with Additional Statistical Information. CoRR abs/2311.11378 (2023) - [i47]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) - [c98]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 - [c97]Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim:
Linear Combination Approximation of Feature for Channel Pruning. CVPR Workshops 2022: 2771-2780 - [c96]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 - [c95]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 - [c94]Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim:
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. ECCV (33) 2022: 513-529 - [c93]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 - [c92]Donggyu Joo, Sunghyun Baek, Junmo Kim:
Which Metrics for Network Pruning: Final Accuracy? Or Accuracy Drop? ICIP 2022: 1071-1075 - [c91]Eojindl Yi, JuYoung Yang, Junmo Kim:
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. ICRA 2022: 1-7 - [c90]Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim:
Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. IROS 2022: 8360-8367 - [c89]Eojindl Yi, Junmo Kim:
Subspace-based Feature Alignment for Unsupervised Domain Adaptation. IROS 2022: 10163-10169 - [c88]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 - [c87]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 - [c86]Sewhan Chun, Jae Young Lee, Junmo Kim:
Cyclic test time augmentation with entropy weight method. UAI 2022: 433-442 - [c85]Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim:
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. WACV 2022: 2947-2956 - [c84]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 - [i46]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) - [i45]Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim:
Projection-based Point Convolution for Efficient Point Cloud Segmentation. CoRR abs/2202.01991 (2022) - [i44]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) - [i43]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) - [i42]Eojindl Yi, JuYoung Yang, Junmo Kim:
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. CoRR abs/2205.11419 (2022) - [i41]Hanbyel Cho, Yekang Lee, Jaemyung Yu, Junmo Kim:
Stochastic Attribute Modeling for Face Super-Resolution. CoRR abs/2207.07945 (2022) - [i40]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) - [i39]Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim:
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. CoRR abs/2208.08112 (2022) - [i38]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) - [i37]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) - [i36]Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim:
Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning. CoRR abs/2211.15875 (2022) - [i35]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) - [i34]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) - [c83]Beomyoung Kim, Sangeun Han, Junmo Kim:
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. AAAI 2021: 1754-1761 - [c82]Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim:
Patch-Wise Attention Network for Monocular Depth Estimation. AAAI 2021: 1873-1881 - [c81]Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim:
Linearly Replaceable Filters for Deep Network Channel Pruning. AAAI 2021: 8021-8029 - [c80]Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim:
Joint Negative and Positive Learning for Noisy Labels. CVPR 2021: 9442-9451 - [c79]Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim:
Improving Generalization of Batch Whitening by Convolutional Unit Optimization. ICCV 2021: 5301-5309 - [c78]JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim:
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. ICCV 2021: 6393-6402 - [c77]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 - [c76]Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim:
3D Point Cloud Upsampling and Colorization Using GAN. MIWAI 2021: 1-13 - [c75]Byungju Kim, Hyeong Gwon Hong, Junmo Kim:
De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning. WACV 2021: 1478-1486 - [i33]Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim:
Extending Contrastive Learning to Unsupervised Coreset Selection. CoRR abs/2103.03574 (2021) - [i32]Beomyoung Kim, Sangeun Han, Junmo Kim:
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. CoRR abs/2103.07246 (2021) - [i31]Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim:
Joint Negative and Positive Learning for Noisy Labels. CoRR abs/2104.06574 (2021) - [i30]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) - [i29]Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim:
Improving Generalization of Batch Whitening by Convolutional Unit Optimization. CoRR abs/2108.10629 (2021) - [i28]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) - [i27]Seungbum Hong, Jihun Yoon, Junmo Kim, Min-Kook Choi:
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. CoRR abs/2110.12696 (2021) - [i26]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) - [i25]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) - [c74]Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim:
Residual Continual Learning. AAAI 2020: 4553-4560 - [c73]Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim:
Continual Learning With Extended Kronecker-Factored Approximate Curvature. CVPR 2020: 8998-9007 - [c72]Jinhyung Kim, Seunghwan Cha, Dongyoon Wee, Soonmin Bae, Junmo Kim:
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition. CVPR 2020: 12100-12109 - [c71]Juseung Yun, Byungjoo Kim, Junmo Kim:
Weight Decay Scheduling and Knowledge Distillation for Active Learning. ECCV (26) 2020: 431-447 - [c70]Donggyu Joo, Doyeon Kim, Junmo Kim:
Slimming ResNet by Slimming Shortcut. ICPR 2020: 7677-7683 - [c69]Doyeon Kim, Donggyu Joo, Junmo Kim:
Delivering Meaningful Representation for Monocular Depth Estimation. ICPR 2020: 7790-7795 - [c68]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 - [c67]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 - [i24]Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim:
Residual Continual Learning. CoRR abs/2002.06774 (2020) - [i23]Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim:
Continual Learning with Extended Kronecker-factored Approximate Curvature. CoRR abs/2004.07507 (2020) - [i22]Doyeon Kim, Donggyu Joo, Junmo Kim:
TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator. CoRR abs/2009.02018 (2020) - [i21]Byungju Kim, Jaeyoung Lee, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Collaborative Method for Incremental Learning on Classification and Generation. CoRR abs/2010.15378 (2020) - [i20]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) - [i19]SeulGi Hong, Heonjin Ha, Junmo Kim, Min-Kook Choi:
Deep Active Learning with Augmentation-based Consistency Estimation. CoRR abs/2011.02666 (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) - [c66]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 - [c65]Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim:
NLNL: Negative Learning for Noisy Labels. ICCV 2019: 101-110 - [c64]Byungju Kim, Jaeyoung Lee, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Collaborative Method for Incremental Learning on Classification and Generation. ICIP 2019: 390-394 - [c63]Jaeyoung Lee, Yekang Lee, Sihyeon Seong, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Capturing Long-Range Dependencies in Video Captioning. ICIP 2019: 1880-1884 - [c62]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 - [c61]Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim:
Learning Receptive Field Size by Learning Filter Size. WACV 2019: 1203-1212 - [i18]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) - [i17]Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim:
NLNL: Negative Learning for Noisy Labels. CoRR abs/1908.07387 (2019) - [i16]Woo-han Yun, Jaeyeon Lee, Jaehong Kim, Junmo Kim:
Balancing Domain Gap for Object Instance Detection. CoRR abs/1909.11972 (2019) - [i15]Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim:
EDAS: Efficient and Differentiable Architecture Search. CoRR abs/1912.01237 (2019) - [i14]ByungIn Yoo, Tristan Sylvain, Yoshua Bengio, Junmo Kim:
Joint Learning of Generative Translator and Classifier for Visually Similar Classes. CoRR abs/1912.06994 (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) - [c60]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. AAAI 2018: 3358-3365 - [c59]Donggyu Joo, Junho Yim, Junmo Kim:
Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. BMVC 2018: 45 - [c58]Donggyu Joo, Doyeon Kim, Junmo Kim:
Generating a Fusion Image: One's Identity and Another's Shape. CVPR 2018: 1635-1643 - [c57]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 - [c56]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 - [c55]Jinhyung Kim, Chanho Lee, Junmo Kim:
Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning. MIWAI 2018: 58-68 - [c54]Yunho Jeon, Junmo Kim:
Constructing Fast Network through Deconstruction of Convolution. NeurIPS 2018: 5955-5965 - [c53]Sihyeon Seong, Yegang Lee, Youngwook Kee, Dongyoon Han, Junmo Kim:
Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. UAI 2018: 1020-1030 - [i13]Donggyu Joo, Doyeon Kim, Junmo Kim:
Generating a Fusion Image: One's Identity and Another's Shape. CoRR abs/1804.07455 (2018) - [i12]Yunho Jeon, Junmo Kim:
Constructing Fast Network through Deconstruction of Convolution. CoRR abs/1806.07370 (2018) - [i11]Yunho Jeon, Junmo Kim:
Integrating Multiple Receptive Fields through Grouped Active Convolution. CoRR abs/1811.04387 (2018) - [i10]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) - [c52]Yunho Jeon, Junmo Kim:
Active Convolution: Learning the Shape of Convolution for Image Classification. CVPR 2017: 1846-1854 - [c51]Dongyoon Han, Jiwhan Kim, Junmo Kim:
Deep Pyramidal Residual Networks. CVPR 2017: 6307-6315 - [c50]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 - [c49]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 - [c48]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 - [c47]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 - [c46]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 - [c45]Minju Jung, Junmo Kim:
Selective Filter Transfer. RiTA 2017: 27-33 - [c44]Sihyeon Seong, Chanho Lee, Junmo Kim:
Improving Deep Neural Networks by Adding Auxiliary Information. RiTA 2017: 35-41 - [c43]Doyeon Kim, Haechang Jung, Jaeyoung Lee, Junmo Kim:
Improved InfoGAN: Generating High Quality Images with Learning Disentangled Representation. RiTA 2017: 43-48 - [c42]Jeongwoo Ju, Junho Yim, Sihaeng Lee, Junmo Kim:
An Exploration of the Power of Max Switch Locations in CNNs. RiTA 2017: 63-72 - [c41]Jiwhan Kim, Dongyoon Han, Wonjun Hwang, Junmo Kim:
3D face recognition via discriminative keypoint selection. URAI 2017: 477-480 - [i9]Byungju Kim, Youngsoo Kim, Yeakang Lee, Junmo Kim:
Mimicking Ensemble Learning with Deep Branched Networks. CoRR abs/1702.06376 (2017) - [i8]Yunho Jeon, Junmo Kim:
Active Convolution: Learning the Shape of Convolution for Image Classification. CoRR abs/1703.09076 (2017) - [i7]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) - [i6]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) - [i5]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) - [c40]SungRyull Sohn, Hyunwoo Kim, Junmo Kim:
Supervised Hashing via Uncorrelated Component Analysis. AAAI 2016: 236-242 - [c39]Pyunghwan Ahn, Dong-Hoon Shin, Junmo Kim:
Thinning deep neural networks for sketch recognition. APSIPA 2016: 1-4 - [c38]Gayoung Lee, Yu-Wing Tai, Junmo Kim:
Deep Saliency with Encoded Low Level Distance Map and High Level Features. CVPR 2016: 660-668 - [c37]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 - [c36]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 - [c35]Sunjeong Park, Hansang Lee, Junmo Kim:
Seed growing for interactive image segmentation with geodesic voting. ICIP 2016: 2564-2568 - [c34]Hansang Lee, Minseok Park, Junmo Kim:
Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning. ICIP 2016: 3713-3717 - [c33]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 - [i4]Gayoung Lee, Yu-Wing Tai, Junmo Kim:
Deep Saliency with Encoded Low level Distance Map and High Level Features. CoRR abs/1604.05495 (2016) - [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) - [c32]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 - [c31]Dongyoon Han, Junmo Kim:
Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection. CVPR 2015: 5016-5023 - [c30]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 - [c29]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 - [c28]Mohamed Souiai, Martin R. Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, Daniel Cremers:
Entropy Minimization for Convex Relaxation Approaches. ICCV 2015: 1778-1786 - [c27]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 - [c26]Jiwhan Kim, Dongyoon Han, Sungryull Sohn, Junmo Kim:
Facial age estimation via extended curvature Gabor filter. ICIP 2015: 1165-1169 - [c25]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) - [c24]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 - [c23]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 - [c22]Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim:
Salient Region Detection via High-Dimensional Color Transform. CVPR 2014: 883-890 - [c21]Heechul Jung, Jeongwoo Ju, Junmo Kim:
Rigid Motion Segmentation Using Randomized Voting. CVPR 2014: 1210-1217 - [c20]Youngwook Kee, Junmo Kim:
A Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functionals for the Mumford-Shah Functional. CVPR 2014: 4074-4081 - [c19]Youngwook Kee, Mohamed Souiai, Daniel Cremers, Junmo Kim:
Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation. CVPR 2014: 4082-4089 - [c18]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 - [c17]Junho Yim, Jeongwoo Ju, Heechul Jung, Junmo Kim:
Image Classification Using Convolutional Neural Networks With Multi-stage Feature. RiTA 2014: 587-594 - [c16]Sojung Yun, Junmo Kim:
Face Verification Across Pose via Look-Alike Ranked List Comparison. RiTA 2014: 655-662 - 2013
- [c15]Jeongwoo Ju, Heechul Jung, Junmo Kim:
Speaker dependent visual speech recognition using Extended Curvature Gabor filters. ICCE 2013: 314-315 - [c14]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 - [c13]Wonjun Hwang, Kyungshik Roh, Junmo Kim:
Markov Network-Based Unified Classifier for Face Identification. ICCV 2013: 1952-1959 - [c12]Jiwhan Kim, Hansang Lee, Junmo Kim:
A novel method for salient object detection via compactness measurement. ICIP 2013: 3426-3430 - [c11]Wonjun Hwang, Kyungshik Noh, Junmo Kim:
Markov network-based multiple classifier for face image retrieval. ICIP 2013: 3685-3689 - [c10]Heechul Jung, Junggon Min, Junmo Kim:
An efficient lane detection algorithm for lane departure detection. Intelligent Vehicles Symposium 2013: 976-981 - [c9]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) - [c8]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 - [c7]Youngwook Kee, Daniel Cremers, Junmo Kim:
Groupwise Shape Registration Based on Entropy Minimization. DAGM/OAGM Symposium 2012: 347-356 - [c6]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 - [c5]Jeongwoo Ju, Heechul Jung, Junmo Kim:
Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment. RiTA 2012: 1015-1022 - [c4]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) - [c3]Wonjun Hwang, Xiangsheng Huang, Kyungshik Noh, Junmo Kim:
Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image. CVPR Workshops 2011: 15-22 - 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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