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Mahsa Baktashmotlagh

  1. Learning to Diversify for Single Domain Generalization
    2021/08/26 by Zijian Wang, Yadan Luo, Wang, Zijian +7 · 15 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 #Multimodal Machine Learning Applications
  2. Deep Level Sets: Implicit Surface Representations for 3D Shape Inference
    2019/01/21 by Mateusz Michalkiewicz, Jhony Kaesemodel Pontes, Michalkiewicz, Mateusz +8 · 15 citations
    Computer Science · Earth and Planetary Sciences · Engineering · #3D Shape Modeling and Analysis #3D Surveying and Cultural Heritage #Image Processing and 3D Reconstruction #cs.CV
  3. On Minimum Discrepancy Estimation for Deep Domain Adaptation
    2019/01/02 by Mohammad Mahfujur Rahman, Rahman, Mohammad Mahfujur, Clinton Fookes +5 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  4. Correlation-aware Adversarial Domain Adaptation and Generalization
    2019/11/29 by Mohammad Mahfujur Rahman, Rahman, Mohammad Mahfujur, Clinton Fookes +5 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  5. Keypoint-Aligned Embeddings for Image Retrieval and Re-identification
    2020/08/26 by Olga Moskvyak, Moskvyak, Olga, Frederic Maire +5 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  6. Exploring Active 3D Object Detection from a Generalization Perspective
    2023/01/23 by Yadan Luo, Zhuoxiao Chen, Luo, Yadan +9 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification
  7. Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
    2023/07/16 by Zhuoxiao Chen, Chen, Zhuoxiao, Yadan Luo +7 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #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
  8. Selecting which Dense Retriever to use for Zero-Shot Search
    2023/09/18 by Ekaterina Khramtsova, Shengyao Zhuang, Khramtsova, Ekaterina +7 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning and Algorithms
  9. Multi-component Image Translation for Deep Domain Generalization
    2018/12/21 by Mohammad Mahfujur Rahman, Rahman, Mohammad Mahfujur, Clinton Fookes +5 · 2 citations
    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 #Multimodal Machine Learning Applications #cs.AI #cs.CV
  10. Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
    2023/10/11 by Mateusz Michalkiewicz, Michalkiewicz, Mateusz, Masoud Faraki +7 · 4 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 and ELM
  11. KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
    2023/07/16 by Yadan Luo, Zhuoxiao Chen, Luo, Yadan +9 · 4 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG)
  12. Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
    2022/02/13 by Yadan Luo, Zijian Wang, Luo, Yadan +7 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  13. DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
    2024/06/21 by Jia Syuen Lim, Lim, Jia Syuen, Zhuoxiao Chen +11 · 4 citations
    Computer Science · Medicine · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  14. Semi-supervised Keypoint Localization
    2021/01/20 by Olga Moskvyak, Frédéric Maire, Moskvyak, Olga +6 · 2 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Human Pose and Action Recognition #Robotics and Sensor-Based Localization #cs.CV
  15. Learning Factorized Representations for Open-set Domain Adaptation
    2018/05/31 by Mahsa Baktashmotlagh, Baktashmotlagh, Mahsa, Masoud Faraki +5 · 1 citation
    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 #Multimodal Machine Learning Applications #cs.CV
  16. Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
    2019/02/28 by Olga Moskvyak, Moskvyak, Olga, Frederic Maire +8 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ichthyology and Marine Biology #Identification and Quantification in Food #Marine animal studies overview #cs.CV
  17. MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
    2024/06/21 by Zhuoxiao Chen, Chen, Zhuoxiao, Junjie Meng +8 · 4 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Robotics and Sensor-Based Localization #electronic engineering #information engineering
  18. Learning landmark guided embeddings for animal re-identification
    2020/01/09 by Olga Moskvyak, Moskvyak, Olga, Frederic Maire +5 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  19. Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
    2024/12/27 by Mateusz Michalkiewicz, Michalkiewicz, Mateusz, Mahsa Baktashmotlagh +6 · 2 citations
    Social Sciences · #Nonprofit Sector and Volunteering #Religion and Society Interactions #Religion, Society, and Development
  20. Color-Oriented Redundancy Reduction in Dataset Distillation
    2024/11/18 by Bowen Yuan, Yuan, Bowen, Zijian Wang +7 · 2 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Neural Networks and Applications #Process Optimization and Integration
  21. Foveated Probes Recover Localized Binding Information in Vision Foundation Models
    2026/08/01 by Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Guha Balakrishnan
    Computer Science · #cs.CV