Junmo Kim - RankMe

268 papers A* 51A 18B 23C 4Misc 1Journal 129Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token Optimization. CoRR Minseo Kim, Minchan Kwon, Dongyeun Lee, Yunho Jeon, Junmo Kim
2026	J	`jnl`	Inlier-Centric Post-Training Quantization for Object Detection Models. CoRR Minsu Kim, Dongyeun Lee, Jaemyung Yu, Jiwan Hur, Giseop Kim, Junmo Kim
2025	A*	`conf`	B4DL: A Benchmark for 4D LiDAR LLM in Spatio-Temporal Understanding. ACM Multimedia Changho Choi, Youngwoo Shin, Gyojin Han, Dong-Jae Lee, Junmo Kim
2025	A	`conf`	Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models Using Stepwise Spectral Analysis. WACV Haeil Lee, Hansang Lee, Seoyeon Gye, Junmo Kim
2025	A*	`conf`	Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation. CVPR JooHyun Kwon, Hanbyel Cho, Junmo Kim
2025	J	`jnl`	Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation. CoRR JooHyun Kwon, Hanbyel Cho, Junmo Kim
2025	J	`jnl`	Enhancing self-supervised visual representation learning through adversarially generated examples. Neural Comput. Appl. Mintae Kang, Junmo Kim
2025	A	`conf`	FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition. INTERSPEECH Jongsuk Kim, Jaemyung Yu, Minchan Kwon, Junmo Kim
2025	—	`conf`	Inception CNN-Transformer for Robust PPG-to-ECG Reconstruction. UR Sung Woo Kim, Jae Young Lee, Jongsuk Kim, Junmo Kim
2025	J	`jnl`	PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion. CoRR Jaehyun Choi, Jiwan Hur, Gyojin Han, Jaemyung Yu, Junmo Kim
2025	—	`conf`	PSGM-TR: A Transformer-Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models. ShapeMI@MICCAI Seunghee Koh, Chanho Lee, Jaehyun Choi, Minseo Kim, Youngno Yoon, Changyoung Lee, Junmo Kim
2025	—	`conf`	Part-Aware Embedding for Fine-Grained 3D Shape Retrieval. SIGGRAPH Asia Posters Suwoong Lee, Da-Un Jung, Juwon Lee, Seungjae Lee, Junmo Kim
2025	A	`conf`	Reducing the Content Bias for AI-generated Image Detection. WACV Seoyeon Gye, Junwon Ko, Hyounguk Shon, Minchan Kwon, Junmo Kim
2025	J	`jnl`	SFLD: Reducing the content bias for AI-generated Image Detection. CoRR Seoyeon Gye, Junwon Ko, Hyounguk Shon, Minchan Kwon, Junmo Kim
2025	J	`jnl`	Tailored Channel Pruning: Achieve Targeted Model Complexity Through Adaptive Sparsity Regularization. IEEE Access Suwoong Lee, Yunho Jeon, Seungjae Lee, Junmo Kim
2025	J	`jnl`	Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision. CoRR Chenshuang Zhang, Kang Zhang, Joon Son Chung, In So Kweon, Junmo Kim, Chengzhi Mao
2025	J	`jnl`	Video Inference for Human Mesh Recovery with Vision Transformer. CoRR Hanbyel Cho, Jaesung Ahn, Yooshin Cho, Junmo Kim
2024	J	`jnl`	AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation. CoRR Jaehyun Choi, Junwon Ko, Dong-Jae Lee, Junmo Kim
2024	J	`jnl`	AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. Knowl. Based Syst. Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
2024	A	`conf`	AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning. INTERSPEECH Jongsuk Kim, Jiwon Shin, Junmo Kim
2024	J	`jnl`	AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning. CoRR Jongsuk Kim, Jiwon Shin, Junmo Kim
2024	J	`jnl`	Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis. CoRR Haeil Lee, Hansang Lee, Seoyeon Gye, Junmo Kim
2024	J	`jnl`	ContextMix: A context-aware data augmentation method for industrial visual inspection systems. CoRR Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim
2024	J	`jnl`	ContextMix: A context-aware data augmentation method for industrial visual inspection systems. Eng. Appl. Artif. Intell. Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim
2024	A*	`conf`	EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning. ICML Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho, Junmo Kim, Joon Son Chung
2024	J	`jnl`	EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning. CoRR Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho, Junmo Kim, Joon Son Chung
2024	A	`conf`	Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning. WACV Jiwan Hur, Jaehyun Choi, Gyojin Han, Dong-Jae Lee, Junmo Kim
2024	J	`jnl`	Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition. CoRR Youngtaek Oh, Pyunghwan Ahn, Jinhyung Kim, Gwangmo Song, Soonyoung Lee, In So Kweon, Junmo Kim
2024	A*	`conf`	FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. AAAI Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim
2024	J	`jnl`	FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. CoRR Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim
2024	A*	`conf`	Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. AAAI Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim
2024	A*	`conf`	ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CVPR Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
2024	J	`jnl`	ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CoRR Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
2024	—	`conf`	Implicit Steganography Beyond the Constraints of Modality. ECCV (86) Sojeong Song, Seoyun Yang, Chang D. Yoo, Junmo Kim
2024	—	`conf`	Learning Neural Deformation Representation for 4D Dynamic Shape Generation. ECCV (72) Gyojin Han, Jiwan Hur, Jaehyun Choi, Junmo Kim
2024	J	`jnl`	Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. CoRR Jae Young Lee, Woonghyun Ka, Jaehyun Choi, Junmo Kim
2024	A*	`conf`	Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. AAAI Jae Young Lee, Woonghyun Ka, Jaehyun Choi, Junmo Kim
2024	—	`conf`	NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CVPR Workshops Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun
2024	—	`conf`	Neural Vicinal Risk Minimization: Noise-robust Distillation for Noisy Labels. AISafety@IJCAI Hyounguk Shon, Seunghee Koh, Yunho Jeon, Junmo Kim
2024	—	`conf`	PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model. ShapeMI@MICCAI Seunghee Koh, Chanho Lee, Jae Young Lee, Jaehyun Choi, Youngno Yoon, Changyoung Lee, Junmo Kim
2024	A*	`conf`	Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality. EMNLP Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim
2024	J	`jnl`	Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality. CoRR Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim
2024	A	`conf`	Real-Time Polyp Detection in Colonoscopy using Lightweight Transformer. WACV Youngbeom Yoo, Jae Young Lee, Dong-Jae Lee, Jiwoon Jeon, Junmo Kim
2024	A*	`conf`	Self-supervised Transformation Learning for Equivariant Representations. NeurIPS Jaemyung Yu, Jaehyun Choi, Dong-Jae Lee, Hyeong Gwon Hong, Junmo Kim
2024	A*	`conf`	StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model. EMNLP Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim
2024	J	`jnl`	StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models. CoRR Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim
2024	Misc	`conf`	Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency. ICASSP Woonghyun Ka, Jae Young Lee, Jaehyun Choi, Junmo Kim
2024	J	`jnl`	Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency. CoRR Woonghyun Ka, Jae Young Lee, Jaehyun Choi, Junmo Kim
2024	J	`jnl`	Towards Understanding Dual BN In Hybrid Adversarial Training. CoRR Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon
2024	J	`jnl`	Towards Understanding Dual BN In Hybrid Adversarial Training. Trans. Mach. Learn. Res. Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon
2024	A*	`conf`	Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance. NeurIPS Jiwan Hur, Dong-Jae Lee, Gyojin Han, Jaehyun Choi, Yunho Jeon, Junmo Kim
2024	J	`jnl`	Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance. CoRR Jiwan Hur, Dong-Jae Lee, Gyojin Han, Jaehyun Choi, Yunho Jeon, Junmo Kim
2023	J	`jnl`	Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization. CoRR Doyeon Kim, Eunji Ko, Hyunsu Kim, Yunji Kim, Junho Kim, Dongchan Min, Junmo Kim, Sung Ju Hwang
2023	B	`conf`	Data Poisoning Attack Aiming the Vulnerability of Continual Learning. ICIP Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim
2023	B	`conf`	Deep Cross-Modal Steganography Using Neural Representations. ICIP Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim
2023	J	`jnl`	Deep Cross-Modal Steganography Using Neural Representations. CoRR Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim
2023	A*	`conf`	Disposable Transfer Learning for Selective Source Task Unlearning. ICCV Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim
2023	J	`jnl`	Disposable Transfer Learning for Selective Source Task Unlearning. CoRR Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim
2023	J	`jnl`	DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation. CoRR Haeil Lee, Hansang Lee, Junmo Kim
2023	J	`jnl`	Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning. CoRR Jiwan Hur, Jaehyun Choi, Gyojin Han, Dong-Jae Lee, Junmo Kim
2023	A*	`conf`	Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. CVPR Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim
2023	J	`jnl`	Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. CoRR Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim
2023	J	`jnl`	Flexible Cross-Modal Steganography via Implicit Representations. CoRR Seoyun Yang, Sojeong Song, Chang D. Yoo, Junmo Kim
2023	J	`jnl`	Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. CoRR Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim
2023	A*	`conf`	Frequency Selective Augmentation for Video Representation Learning. AAAI Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim
2023	—	`conf`	Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models. ICCV (Workshops) Hanbyel Cho, Junmo Kim
2023	J	`jnl`	Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models. CoRR Hanbyel Cho, Junmo Kim
2023	A	`conf`	I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images. WACV Jiwan Hur, Jae Young Lee, Jaehyun Choi, Junmo Kim
2023	J	`jnl`	I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images. CoRR Jiwan Hur, Jae Young Lee, Jaehyun Choi, Junmo Kim
2023	A*	`conf`	Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view. CVPR Hanbyel Cho, Yooshin Cho, Jaesung Ahn, Junmo Kim
2023	J	`jnl`	Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view. CoRR Hanbyel Cho, Yooshin Cho, Jaesung Ahn, Junmo Kim
2023	J	`jnl`	Inspecting Explainability of Transformer Models with Additional Statistical Information. CoRR Hoang C. Nguyen, Haeil Lee, Junmo Kim
2023	A*	`conf`	Lightweight Monocular Depth Estimation via Token-Sharing Transformer. ICRA Dong-Jae Lee, Jae Young Lee, Hyunguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim
2023	J	`jnl`	Lightweight Monocular Depth Estimation via Token-Sharing Transformer. CoRR Dong-Jae Lee, Jae Young Lee, Hyounguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim
2023	B	`conf`	Localization using Multi-Focal Spatial Attention for Masked Face Recognition. FG Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim
2023	J	`jnl`	Localization using Multi-Focal Spatial Attention for Masked Face Recognition. CoRR Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim
2023	J	`jnl`	Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks. Pattern Recognit. Lett. Jae Young Lee, Jiwan Hur, Jaehyun Choi, Rae-Hong Park, Junmo Kim
2023	J	`jnl`	NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CoRR 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
2023	A*	`conf`	Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. ICCV Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
2023	J	`jnl`	Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. CoRR Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
2023	A*	`conf`	Reinforcement Learning-Based Black-Box Model Inversion Attacks. CVPR Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim
2023	J	`jnl`	Reinforcement Learning-Based Black-Box Model Inversion Attacks. CoRR Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim
2023	A*	`conf`	Test-Time Synthetic-to-Real Adaptive Depth Estimation. ICRA Eojindl Yi, Junmo Kim
2023	B	`conf`	Training Cartoonization Network without Cartoon. ICIP Doyeon Kim, Dongyeun Lee, Donggyu Joo, Junmo Kim
2023	B	`conf`	Video Inference for Human Mesh Recovery with Vision Transformer. FG Hanbyel Cho, Jaesung Ahn, Yooshin Cho, Junmo Kim
2022	J	`jnl`	AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. CoRR Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
2022	A*	`conf`	Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CVPR Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
2022	A	`conf`	Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint. ACSAC Seung Ho Na, Hyeong Gwon Hong, Junmo Kim, Seungwon Shin
2022	A	`conf`	Cyclic test time augmentation with entropy weight method. UAI Sewhan Chun, Jae Young Lee, Junmo Kim
2022	—	`conf`	DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. ECCV (33) Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim
2022	J	`jnl`	DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. CoRR Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim
2022	A*	`conf`	Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. ICRA Eojindl Yi, Juyoung Yang, Junmo Kim
2022	J	`jnl`	Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. CoRR Eojindl Yi, Juyoung Yang, Junmo Kim
2022	J	`jnl`	Extending Contrastive Learning to Unsupervised Coreset Selection. IEEE Access Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
2022	J	`jnl`	Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. CoRR Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim
2022	J	`jnl`	Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth. CoRR Doyeon Kim, Woonghyun Ka, Pyunghwan Ahn, Donggyu Joo, Sewhan Chun, Junmo Kim
2022	—	`conf`	Linear Combination Approximation of Feature for Channel Pruning. CVPR Workshops Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim
2022	A	`conf`	Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. IROS Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim
2022	—	`conf`	Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. DALI@MICCAI Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim
2022	J	`jnl`	Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. CoRR Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim
2022	—	`conf`	On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network. ECCV (12) Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim
2022	J	`jnl`	Projection-Based Point Convolution for Efficient Point Cloud Segmentation. IEEE Access Pyunghwan Ahn, Juyoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim
2022	J	`jnl`	Projection-based Point Convolution for Efficient Point Cloud Segmentation. CoRR Pyunghwan Ahn, Juyoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim
2022	J	`jnl`	Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks. CoRR Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim
2022	B	`conf`	Rethinking Efficacy of Softmax for Lightweight Non-local Neural Networks. ICIP Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim
2022	A	`conf`	Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. WACV Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim
2022	J	`jnl`	Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. CoRR Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim
2022	J	`jnl`	Stochastic Attribute Modeling for Face Super-Resolution. CoRR Hanbyel Cho, Yekang Lee, Jaemyung Yu, Junmo Kim
2022	A	`conf`	Subspace-based Feature Alignment for Unsupervised Domain Adaptation. IROS Eojindl Yi, Junmo Kim
2022	J	`jnl`	Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification. CoRR Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim
2022	J	`jnl`	Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning. CoRR Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim
2022	A	`conf`	TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. WACV Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim
2022	A*	`conf`	UniCLIP: Unified Framework for Contrastive Language-Image Pre-training. NeurIPS Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim
2022	J	`jnl`	UniCLIP: Unified Framework for Contrastive Language-Image Pre-training. CoRR Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim
2022	J	`jnl`	Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution. IEEE Access Youngsoo Kim, Jeonghyo Ha, Yooshin Cho, Junmo Kim
2022	B	`conf`	Which Metrics for Network Pruning: Final Accuracy? Or Accuracy Drop? ICIP Donggyu Joo, Sunghyun Baek, Junmo Kim
2021	—	`conf`	3D Point Cloud Upsampling and Colorization Using GAN. MIWAI Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim
2021	J	`jnl`	Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CoRR Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
2021	A*	`conf`	Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning. ICCV Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim
2021	J	`jnl`	Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning. CoRR Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim
2021	J	`jnl`	Cocktail Glass Network: Fast Depth Estimation Using Channel to Space Unrolling. IEEE Access Jung-Jae Yu, Jong-gook Ko, Junmo Kim
2021	J	`jnl`	Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection. IEEE Access Woo-han Yun, Taewoo Kim, Jaeyeon Lee, Jaehong Kim, Junmo Kim
2021	A	`conf`	De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning. WACV Byungju Kim, Hyeong Gwon Hong, Junmo Kim
2021	J	`jnl`	Differentiable Architecture Search Based on Coordinate Descent. IEEE Access Pyunghwan Ahn, Hyeong Gwon Hong, Junmo Kim
2021	A*	`conf`	Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. AAAI Beomyoung Kim, Sangeun Han, Junmo Kim
2021	J	`jnl`	Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. CoRR Beomyoung Kim, Sangeun Han, Junmo Kim
2021	J	`jnl`	Extending Contrastive Learning to Unsupervised Coreset Selection. CoRR Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
2021	A*	`conf`	Improving Generalization of Batch Whitening by Convolutional Unit Optimization. ICCV Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim
2021	J	`jnl`	Improving Generalization of Batch Whitening by Convolutional Unit Optimization. CoRR Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim
2021	J	`jnl`	Integrating Multiple Receptive Fields Through Grouped Active Convolution. IEEE Trans. Pattern Anal. Mach. Intell. Yunho Jeon, Junmo Kim
2021	A*	`conf`	Joint Negative and Positive Learning for Noisy Labels. CVPR Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim
2021	J	`jnl`	Joint Negative and Positive Learning for Noisy Labels. CoRR Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim
2021	A*	`conf`	Linearly Replaceable Filters for Deep Network Channel Pruning. AAAI Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim
2021	J	`jnl`	Occlusion Handling by Successively Excluding Foregrounds for Light Field Depth Estimation Based on Foreground-Background Separation. IEEE Access Jae Young Lee, Rae-Hong Park, Junmo Kim
2021	A*	`conf`	Patch-Wise Attention Network for Monocular Depth Estimation. AAAI Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim
2021	A*	`conf`	Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. ICCV Juyoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim
2021	J	`jnl`	Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. CoRR Juyoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim
2021	J	`jnl`	SAR Image Generation of Ground Targets for Automatic Target Recognition Using Indirect Information. IEEE Access Jihee Yoo, Junmo Kim
2021	J	`jnl`	Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. CoRR Seungbum Hong, Jihun Yoon, Junmo Kim, Min-Kook Choi
2021	J	`jnl`	Target-Style-Aware Unsupervised Domain Adaptation for Object Detection. IEEE Robotics Autom. Lett. Woo-han Yun, ByungOk Han, Jaeyeon Lee, Jaehong Kim, Junmo Kim
2021	J	`jnl`	TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. CoRR Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim
2020	J	`jnl`	Adjusting Decision Boundary for Class Imbalanced Learning. IEEE Access Byungju Kim, Junmo Kim
2020	J	`jnl`	Automatic Recognition of Children Engagement from Facial Video Using Convolutional Neural Networks. IEEE Trans. Affect. Comput. Woo-han Yun, Dongjin Lee, Chankyu Park, Jaehong Kim, Junmo Kim
2020	J	`jnl`	Collaborative Method for Incremental Learning on Classification and Generation. CoRR Byungju Kim, Jaeyoung Lee, Kyungsu Kim, Sungjin Kim, Junmo Kim
2020	A*	`conf`	Continual Learning With Extended Kronecker-Factored Approximate Curvature. CVPR Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim
2020	J	`jnl`	Continual Learning with Extended Kronecker-factored Approximate Curvature. CoRR Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim
2020	J	`jnl`	Deep Active Learning with Augmentation-based Consistency Estimation. CoRR SeulGi Hong, Heonjin Ha, Junmo Kim, Min-Kook Choi
2020	J	`jnl`	Deep Architecture With Cross Guidance Between Single Image and Sparse LiDAR Data for Depth Completion. IEEE Access Sihaeng Lee, Janghyeon Lee, Doyeon Kim, Junmo Kim
2020	B	`conf`	Delivering Meaningful Representation for Monocular Depth Estimation. ICPR Doyeon Kim, Donggyu Joo, Junmo Kim
2020	J	`jnl`	Densely Distilled Flow-Based Knowledge Transfer in Teacher-Student Framework for Image Classification. IEEE Trans. Image Process. Ji-Hoon Bae, Doyeob Yeo, Junho Yim, Nae-Soo Kim, Cheol Sig Pyo, Junmo Kim
2020	J	`jnl`	Joint Learning of Generative Translator and Classifier for Visually Similar Classes. IEEE Access ByungIn Yoo, Tristan Sylvain, Yoshua Bengio, Junmo Kim
2020	J	`jnl`	Leveraging Contextual Information for Monocular Depth Estimation. IEEE Access Doyeon Kim, Sihaeng Lee, Janghyeon Lee, Junmo Kim
2020	A	`conf`	PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. IROS Juyoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim
2020	J	`jnl`	PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. CoRR Juyoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim
2020	J	`jnl`	RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation. IEEE Access Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim
2020	A*	`conf`	Regularization on Spatio-Temporally Smoothed Feature for Action Recognition. CVPR Jinhyung Kim, Seunghwan Cha, Dongyoon Wee, Soonmin Bae, Junmo Kim
2020	A*	`conf`	Residual Continual Learning. AAAI Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim
2020	J	`jnl`	Residual Continual Learning. CoRR Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim
2020	J	`jnl`	Single Image Super-Resolution via Similarity Between Spatially Scattered Features. IEEE Access Jeonghyo Ha, Youngsoo Kim, Junmo Kim
2020	B	`conf`	Slimming ResNet by Slimming Shortcut. ICPR Donggyu Joo, Doyeon Kim, Junmo Kim
2020	—	`conf`	Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression. Computer-Aided Diagnosis Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim
2020	J	`jnl`	TiVGAN: Text to Image to Video Generation With Step-by-Step Evolutionary Generator. IEEE Access Doyeon Kim, Donggyu Joo, Junmo Kim
2020	J	`jnl`	TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator. CoRR Doyeon Kim, Donggyu Joo, Junmo Kim
2020	—	`conf`	Weight Decay Scheduling and Knowledge Distillation for Active Learning. ECCV (26) Juseung Yun, Byungjoo Kim, Junmo Kim
2019	J	`jnl`	Balancing Domain Gap for Object Instance Detection. CoRR Woo-han Yun, Jaeyeon Lee, Jaehong Kim, Junmo Kim
2019	B	`conf`	Capturing Long-Range Dependencies in Video Captioning. ICIP Jaeyoung Lee, Yekang Lee, Sihyeon Seong, Kyungsu Kim, Sungjin Kim, Junmo Kim
2019	B	`conf`	Collaborative Method for Incremental Learning on Classification and Generation. ICIP Byungju Kim, Jaeyoung Lee, Kyungsu Kim, Sungjin Kim, Junmo Kim
2019	J	`jnl`	EDAS: Efficient and Differentiable Architecture Search. CoRR Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim
2019	J	`jnl`	Joint Learning of Generative Translator and Classifier for Visually Similar Classes. CoRR ByungIn Yoo, Tristan Sylvain, Yoshua Bengio, Junmo Kim
2019	A*	`conf`	Learning Not to Learn: Training Deep Neural Networks With Biased Data. CVPR Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim
2019	A	`conf`	Learning Receptive Field Size by Learning Filter Size. WACV Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim
2019	A*	`conf`	NLNL: Negative Learning for Noisy Labels. ICCV Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim
2019	J	`jnl`	NLNL: Negative Learning for Noisy Labels. CoRR Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim
2019	J	`jnl`	RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation. CoRR Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim
2019	J	`jnl`	Randomized Voting-Based Rigid-Body Motion Segmentation. IEEE Trans. Circuits Syst. Video Technol. Heechul Jung, Jeongwoo Ju, Junmo Kim
2019	J	`jnl`	Refining background subtraction using consistent motion detection in adverse weather. J. Electronic Imaging Heechul Jung, Jeongwoo Ju, Wonjun Hwang, Junmo Kim
2019	J	`jnl`	Revisiting Gist-PCA Hashing for Near Duplicate Image Detection. J. Signal Process. Syst. Hyunwoo Kim, Sungryull Sohn, Junmo Kim
2019	—	`conf`	Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks. PRIME@MICCAI Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim
2018	—	`conf`	BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling. ISBI Hansang Lee, Helen Hong, Junmo Kim
2018	J	`jnl`	Computationally Efficient Automatic Coast Mode Target Tracking Based on Occlusion Awareness in Infrared Images. Sensors So-Hyun Kim, Gwang-Il Jang, Sungho Kim, Junmo Kim
2018	A*	`conf`	Constructing Fast Network through Deconstruction of Convolution. NeurIPS Yunho Jeon, Junmo Kim
2018	J	`jnl`	Constructing Fast Network through Deconstruction of Convolution. CoRR Yunho Jeon, Junmo Kim
2018	J	`jnl`	Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion. IEEE Signal Process. Lett. ByungIn Yoo, Youngjun Kwak, Youngsung Kim, Changkyu Choi, Junmo Kim
2018	J	`jnl`	ELD-Net: An Efficient Deep Learning Architecture for Accurate Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. Gayoung Lee, Yu-Wing Tai, Junmo Kim
2018	J	`jnl`	Example image-based feature extraction for face recognition. Multim. Tools Appl. Wonjun Hwang, Junmo Kim
2018	A*	`conf`	Generating a Fusion Image: One's Identity and Another's Shape. CVPR Donggyu Joo, Doyeon Kim, Junmo Kim
2018	J	`jnl`	Generating a Fusion Image: One's Identity and Another's Shape. CoRR Donggyu Joo, Doyeon Kim, Junmo Kim
2018	J	`jnl`	Integrating Multiple Receptive Fields through Grouped Active Convolution. CoRR Yunho Jeon, Junmo Kim
2018	J	`jnl`	Learning Not to Learn: Training Deep Neural Networks with Biased Data. CoRR Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim
2018	A*	`conf`	Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. AAAI Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
2018	—	`conf`	Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning. MIWAI Jinhyung Kim, Chanho Lee, Junmo Kim
2018	B	`conf`	Sequential Knowledge Transfer in Teacher-Student Framework Using Densely Distilled Flow-Based Information. ICIP Doyeob Yeo, Ji-Hoon Bae, Nae-Soo Kim, Cheol-Sik Pyo, Junho Yim, Junmo Kim
2018	A	`conf`	Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. UAI Sihyeon Seong, Yegang Lee, Youngwook Kee, Dongyoon Han, Junmo Kim
2018	A	`conf`	Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. BMVC Donggyu Joo, Junho Yim, Junmo Kim
2018	J	`jnl`	Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data. IEEE Trans. Neural Networks Learn. Syst. Dongyoon Han, Junmo Kim
2017	—	`conf`	3D face recognition via discriminative keypoint selection. URAI Jiwhan Kim, Dongyoon Han, Wonjun Hwang, Junmo Kim
2017	A*	`conf`	A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning. CVPR Junho Yim, Donggyu Joo, Ji-Hoon Bae, Junmo Kim
2017	A*	`conf`	Active Convolution: Learning the Shape of Convolution for Image Classification. CVPR Yunho Jeon, Junmo Kim
2017	J	`jnl`	Active Convolution: Learning the Shape of Convolution for Image Classification. CoRR Yunho Jeon, Junmo Kim
2017	—	`conf`	An Exploration of the Power of Max Switch Locations in CNNs. RiTA Jeongwoo Ju, Junho Yim, Sihaeng Lee, Junmo Kim
2017	J	`jnl`	Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models. CoRR Han S. Lee, Heechul Jung, Alex A. Agarwal, Junmo Kim
2017	—	`conf`	Cephalometric landmark detection in dental x-ray images using convolutional neural networks. Computer-Aided Diagnosis Hansang Lee, Minseok Park, Junmo Kim
2017	—	`conf`	Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches. Computer-Aided Diagnosis Haeil Lee, Hansang Lee, Minseok Park, Junmo Kim
2017	A*	`conf`	Deep Pyramidal Residual Networks. CVPR Dongyoon Han, Jiwhan Kim, Junmo Kim
2017	—	`conf`	Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification. ISBI Hansang Lee, Helen Hong, Junmo Kim
2017	—	`conf`	Improved InfoGAN: Generating High Quality Images with Learning Disentangled Representation. RiTA Doyeon Kim, Haechang Jung, Jaeyoung Lee, Junmo Kim
2017	—	`conf`	Improving Deep Neural Networks by Adding Auxiliary Information. RiTA Sihyeon Seong, Chanho Lee, Junmo Kim
2017	J	`jnl`	Less-forgetful Learning for Domain Expansion in Deep Neural Networks. CoRR Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
2017	J	`jnl`	Mimicking Ensemble Learning with Deep Branched Networks. CoRR Byungju Kim, Youngsoo Kim, Yeakang Lee, Junmo Kim
2017	B	`conf`	Refine pedestrian detections by referring to features in different ways. Intelligent Vehicles Symposium Jaemyung Lee, Sihaeng Lee, Youngdong Kim, Janghyeon Lee, Junmo Kim
2017	—	`conf`	Selective Filter Transfer. RiTA Minju Jung, Junmo Kim
2017	J	`jnl`	Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization. SIAM J. Imaging Sci. Youngwook Kee, Yegang Lee, Mohamed Souiai, Daniel Cremers, Junmo Kim
2017	J	`jnl`	Tunnel Effect in CNNs: Image Reconstruction From Max Switch Locations. IEEE Signal Process. Lett. Matthieu de La Roche Saint Andre, Laura Rieger, Morten Hannemose, Junmo Kim
2017	J	`jnl`	Uncorrelated Component Analysis-Based Hashing. IEEE Trans. Image Process. Sungryull Sohn, Hyunwoo Kim, Junmo Kim
2017	J	`jnl`	Why Do Deep Neural Networks Still Not Recognize These Images?: A Qualitative Analysis on Failure Cases of ImageNet Classification. CoRR Han S. Lee, Alex A. Agarwal, Junmo Kim
2016	J	`jnl`	Deep Pyramidal Residual Networks. CoRR Dongyoon Han, Jiwhan Kim, Junmo Kim
2016	A*	`conf`	Deep Saliency with Encoded Low Level Distance Map and High Level Features. CVPR Gayoung Lee, Yu-Wing Tai, Junmo Kim
2016	J	`jnl`	Deep Saliency with Encoded Low level Distance Map and High Level Features. CoRR Gayoung Lee, Yu-Wing Tai, Junmo Kim
2016	J	`jnl`	Less-forgetting Learning in Deep Neural Networks. CoRR Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
2016	—	`conf`	Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations. Computer-Aided Diagnosis Hansang Lee, Hyeun A. Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, Junmo Kim
2016	B	`conf`	Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning. ICIP Hansang Lee, Minseok Park, Junmo Kim
2016	C	`conf`	Real-time personalized facial expression recognition system based on deep learning. ICCE Injae Lee, Heechul Jung, Chunghyun Ahn, Jeongil Seo, Junmo Kim, Ohseok Kwon
2016	J	`jnl`	Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support. IEEE Trans. Image Process. Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim
2016	B	`conf`	Seed growing for interactive image segmentation with geodesic voting. ICIP Sunjeong Park, Hansang Lee, Junmo Kim
2016	—	`conf`	Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement. CVPR Workshops Hansang Lee, Junmo Kim
2016	A*	`conf`	Supervised Hashing via Uncorrelated Component Analysis. AAAI Sungryull Sohn, Hyunwoo Kim, Junmo Kim
2016	—	`conf`	Thinning deep neural networks for sketch recognition. APSIPA Pyunghwan Ahn, Dong-Hoon Shin, Junmo Kim
2015	C	`conf`	A new control owner switching system for multiple TV viewers via face recognition. ICCE Jeongwoo Ju, Dongwoon Han, Jiwhan Kim, Injae Lee, Jihun Cha, Junmo Kim
2015	J	`jnl`	Deep Temporal Appearance-Geometry Network for Facial Expression Recognition. CoRR Heechul Jung, Sihaeng Lee, Sunjeong Park, Injae Lee, Chunghyun Ahn, Junmo Kim
2015	—	`conf`	Development of deep learning-based facial expression recognition system. FCV Heechul Jung, Sihaeng Lee, Sunjeong Park, Byungju Kim, Junmo Kim, Injae Lee, Chunghyun Ahn
2015	A*	`conf`	Entropy Minimization for Convex Relaxation Approaches. ICCV Mohamed Souiai, Martin R. Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, Daniel Cremers
2015	J	`jnl`	Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications. IEEE Signal Process. Lett. Youngwook Kee, Hansang Lee, Junho Yim, Daniel Cremers, Junmo Kim
2015	J	`jnl`	Face recognition using Extended Curvature Gabor classifier bunch. Pattern Recognit. Wonjun Hwang, Xiangsheng Huang, Stan Z. Li, Junmo Kim
2015	B	`conf`	Facial age estimation via extended curvature Gabor filter. ICIP Jiwhan Kim, Dongyoon Han, Sungryull Sohn, Junmo Kim
2015	A*	`conf`	Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. ICCV Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, Junmo Kim
2015	—	`conf`	Making a More Reliable Classifier via Random Crop Pooling. RiTA Yeakang Lee, Jiwhan Kim, Minju Jung, Junmo Kim
2015	J	`jnl`	Markov Network-Based Unified Classifier for Face Recognition. IEEE Trans. Image Process. Wonjun Hwang, Junmo Kim
2015	A*	`conf`	Rotating your face using multi-task deep neural network. CVPR Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Du-Sik Park, Junmo Kim
2015	A*	`conf`	Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection. CVPR Dongyoon Han, Junmo Kim
2014	A*	`conf`	A Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functionals for the Mumford-Shah Functional. CVPR Youngwook Kee, Junmo Kim
2014	—	`conf`	Face Verification Across Pose via Look-Alike Ranked List Comparison. RiTA Sojung Yun, Junmo Kim
2014	—	`conf`	Image Classification Using Convolutional Neural Networks With Multi-stage Feature. RiTA Junho Yim, Jeongwoo Ju, Heechul Jung, Junmo Kim
2014	B	`conf`	Randomized decision bush: Combining global shape parameters and local scalable descriptors for human body parts recognition. ICIP ByungIn Yoo, Wonjun Kim, Jae-Joon Han, Changkyu Choi, Dusik Park, Junmo Kim
2014	—	`conf`	Real-time 3D human pose recognition from reconstructed volume via voxel classifiers. Three-Dimensional Image Processing, Measurement (3DIPM), and Applications ByungIn Yoo, Changkyu Choi, Jae-Joon Han, Chang-Kyo Lee, Wonjun Kim, Sungjoo Suh, Dusik Park, Junmo Kim
2014	A*	`conf`	Rigid Motion Segmentation Using Randomized Voting. CVPR Heechul Jung, Jeongwoo Ju, Junmo Kim
2014	—	`conf`	RoVatar: semi-autonomous robot boxing game by miniature avatars. CHI Extended Abstracts ByungIn Yoo, Changkyu Choi, Nam-Joon Kim, Jae-Joon Han, Dusik Park, Junmo Kim
2014	A*	`conf`	Salient Region Detection via High-Dimensional Color Transform. CVPR Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim
2014	J	`jnl`	Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement. Comput. Biol. Medicine Hansang Lee, Helen Hong, Junmo Kim
2014	A*	`conf`	Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation. CVPR Youngwook Kee, Mohamed Souiai, Daniel Cremers, Junmo Kim
2013	B	`conf`	A novel method for salient object detection via compactness measurement. ICIP Jiwhan Kim, Hansang Lee, Junmo Kim
2013	B	`conf`	An efficient lane detection algorithm for lane departure detection. Intelligent Vehicles Symposium Heechul Jung, Junggon Min, Junmo Kim
2013	—	`conf`	Automatic Salient Object Detection Using Principal Component Analysis. RiTA Hansang Lee, Jiwhan Kim, Junmo Kim
2013	C	`conf`	High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices. ICCE Sungryull Sohn, Hansang Lee, Heechul Jung, Junmo Kim
2013	A*	`conf`	Markov Network-Based Unified Classifier for Face Identification. ICCV Wonjun Hwang, Kyungshik Roh, Junmo Kim
2013	B	`conf`	Markov network-based multiple classifier for face image retrieval. ICIP Wonjun Hwang, Kyungshik Noh, Junmo Kim
2013	C	`conf`	Speaker dependent visual speech recognition using Extended Curvature Gabor filters. ICCE Jeongwoo Ju, Heechul Jung, Junmo Kim
2012	J	`jnl`	Achievable Rates of Multi-Antenna Downlink Channels with Peak Power Constraints. IEEE Trans. Commun. Ihn-Jung Baik, Sae-Young Chung, Junmo Kim
2012	—	`conf`	Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints. ACCV (2) Hansang Lee, Helen Hong, Junmo Kim
2012	—	`conf`	Automatic Image Segmentation Using Saliency Detection and Superpixel Graph Cuts. RiTA Sandeul Kang, Hansang Lee, Jiwhan Kim, Junmo Kim
2012	B	`conf`	Block Poisson Method and its application to large scale image editing. ICIP Dewey H. Lee, Seok Bong Yoo, Myungjin Choi, Jong Beom Ra, Junmo Kim
2012	—	`conf`	Groupwise Shape Registration Based on Entropy Minimization. DAGM/OAGM Symposium Youngwook Kee, Daniel Cremers, Junmo Kim
2012	—	`conf`	Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment. RiTA Jeongwoo Ju, Heechul Jung, Junmo Kim
2011	J	`jnl`	Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation. IEEE Trans. Image Process. Wonjun Hwang, Haitao Wang, Hyunwoo Kim, Seok-Cheol Kee, Junmo Kim
2011	—	`conf`	Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image. CVPR Workshops Wonjun Hwang, Xiangsheng Huang, Kyungshik Noh, Junmo Kim
2010	J	`jnl`	Rate Enhancement for the Gaussian Z-Interference Channel with Transmitter Cooperation. IEEE Commun. Lett. Dae-Won Seo, Sang-Woon Jeon, Sae-Young Chung, Junmo Kim
2010	B	`conf`	Two-User Multi-Antenna Downlink Channels with Peak Power Constraints. GLOBECOM Ihn-Jung Baik, Sae-Young Chung, Junmo Kim
2009	B	`conf`	Face recognition using gender information. ICIP Wonjun Hwang, Haibing Ren, Hyunwoo Kim, Seok-Cheol Kee, Junmo Kim
2008	J	`jnl`	Resource Partitioning with Beamforming for the Decode-Forward Relay Networks. EURASIP J. Wirel. Commun. Netw. Duckdong Hwang, Junmo Kim, Sungjin Kim