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Junmo Kim

  1. Less-forgetting Learning in Deep Neural Networks
    2016/07/01 by Heechul Jung, Jeongwoo Ju, Jung, Heechul +5 · 29 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Machine Learning and Data Classification
  2. Learning Not to Learn: Training Deep Neural Networks with Biased Data
    2018/12/26 by Byungju Kim, Hyunwoo Kim, Kim, Byungju +7 · 19 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  3. Continual Learning with Extended Kronecker-factored Approximate Curvature
    2020/04/16 by Janghyeon Lee, Lee, Janghyeon, Hyeong Gwon Hong +5 · 10 citations
    Computer Science · Earth and Planetary Sciences · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Seismic Imaging and Inversion Techniques
  4. Deep Pyramidal Residual Networks
    2016/10/10 by Dongyoon Han, Han, Dongyoon, Jiwhan Kim +3 · 7 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  5. Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
    2022/01/19 by Doyeon Kim, Kim, Doyeon, Woonghyun Ga +9 · 7 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications
  6. UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
    2022/09/27 by Janghyeon Lee, Lee, Janghyeon, Jong‐Suk Kim +11 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  7. Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models
    2023/08/05 by Hanbyel Cho, Junmo Kim, Cho, Hanbyel +1 · 5 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition
  8. StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
    2024/10/10 by Minchan Kwon, Kwon, Minchan, Gaeun Kim +7 · 8 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  9. Active Convolution: Learning the Shape of Convolution for Image Classification
    2017/03/27 by Yunho Jeon, Jeon, Yunho, Junmo Kim +1 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  10. Joint Negative and Positive Learning for Noisy Labels
    2021/04/14 by Young‐Dong Kim, Juseung Yun, Kim, Youngdong +5 · 3 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  11. Less-forgetful Learning for Domain Expansion in Deep Neural Networks
    2017/11/16 by Heechul Jung, Jung, Heechul, Jeongwoo Ju +5 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  12. ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
    2024/03/27 by Chenshuang Zhang, Zhang, Chenshuang, Fei Pan +7 · 4 citations
    Computer Science · #Neural Networks and Applications
  13. EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
    2024/03/14 by Jong‐Suk Kim, Hyeongkeun Lee, Kim, Jongsuk +7 · 4 citations
    Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Hearing Loss and Rehabilitation #Machine Learning (cs.LG) #Multimedia (cs.MM) #Music and Audio Processing #Speech and Audio Processing
  14. Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
    2021/11/30 by Hanbyel Cho, Cho, Hanbyel, Yooshin Cho +5 · 3 citations
    Computer Science · Medicine · #Human Pose and Action Recognition #Advanced Vision and Imaging #Diabetic Foot Ulcer Assessment and Management
  15. Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
    2021/09/20 by Beomyoung Kim, Kim, Beomyoung, Youngjoon Yoo +5 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  16. FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
    2023/12/22 by Chan-Ho Lee, Jinsu Son, Lee, Chanho +7 · 3 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics and Sensor-Based Localization
  17. AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning
    2024/07/10 by Jong‐Suk Kim, Jiwon Shin, Kim, Jongsuk +3 · 4 citations
    Arts and Humanities · Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Subtitles and Audiovisual Media #Video Analysis and Summarization #electronic engineering #information engineering
  18. Data Poisoning Attack Aiming the Vulnerability of Continual Learning
    2022/11/29 by Gyojin Han, Han, Gyojin, Jaehyun Choi +5 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning
  19. Deep Temporal Appearance-Geometry Network for Facial Expression Recognition
    2015/03/05 by Heechul Jung, Sihaeng Lee, Jung, Heechul +8 · 2 citations
    Computer Science · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #Emotion and Mood Recognition #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis
  20. Reinforcement Learning-Based Black-Box Model Inversion Attacks
    2023/04/10 by Gyojin Han, Han, Gyojin, Jaehyun Choi +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Privacy-Preserving Technologies in Data
  21. Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
    2024/07/16 by Haeil Lee, H.S. Lee, Lee, Haeil +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods
  22. Constructing Fast Network through Deconstruction of Convolution
    2018/05/28 by Yunho Jeon, Junmo Kim, Jeon, Yunho +1 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Enhancement Techniques
  23. NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
    2023/09/05 by Taehoon Kim, Kim, Taehoon, Pyunghwan Ahn +81 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  24. Residual Continual Learning
    2020/02/17 by Janghyeon Lee, Lee, Janghyeon, Donggyu Joo +5 · 1 citation
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  25. Deep Active Learning with Augmentation-based Consistency Estimation
    2020/11/05 by SeulGi Hong, Hong, SeulGi, Heonjin Ha +5 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification
  26. Fix the Noise: Disentangling Source Feature for Controllable Domain Translation
    2023/03/21 by Dongyeun Lee, Lee, Dongyeun, Jae Young Lee +9 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  27. Deep Saliency with Encoded Low level Distance Map and High Level Features
    2016/04/19 by Ga‐Young Lee, Lee, Gayoung, Yu‐Wing Tai +3 · 1 citation
    Computer Science · Neuroscience · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Olfactory and Sensory Function Studies #Visual Attention and Saliency Detection
  28. SFLD: Reducing the content bias for AI-generated Image Detection
    2025/02/24 by Seoyeon Gye, Jaepil Ko, Gye, Seoyeon +7 · 2 citations
    Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  29. Frequency-Aware Token Reduction for Efficient Vision Transformer
    2025/11/26 by Dong-Jae Lee, Lee, Dong-Jae, Jaehyun Choi +6 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences