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Maire, Michael

  1. Microsoft COCO: Common Objects in Context
    2014/05/01 by Lin, Tsung-Yi, Maire, Michael, Belongie, Serge +7 · 1457 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  2. FractalNet: Ultra-Deep Neural Networks without Residuals
    2016/05/24 by Gustav Larsson, Larsson, Gustav, Michael Maire +3 · 34 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  3. CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
    2023/10/11 by Liu, Yuhan, Li, Hanchen, Cheng, Yihua +11 · 46 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI)
  4. Learning Representations for Automatic Colorization
    2016/03/22 by Gustav Larsson, Larsson, Gustav, Michael Maire +3 · 17 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image and Video Retrieval Techniques #Image Enhancement Techniques
  5. Multimodal Contrastive Training for Visual Representation Learning
    2021/04/26 by Xin Yuan, Zhe Lin, Yuan, Xin +13 · 11 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  6. Colorization as a Proxy Task for Visual Understanding
    2017/03/11 by Gustav Larsson, Larsson, Gustav, Michael Maire +3 · 10 citations
    Computer Science · Engineering · #Advanced Chemical Sensor Technologies #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  7. Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
    2020/11/23 by Tri Huynh, Huynh, Tri, Simon Kornblith +7 · 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
  8. Approaching Deep Learning through the Spectral Dynamics of Weights
    2024/08/21 by David Yunis, Kumar Kshitij Patel, Yunis, David +14 · 2 voices · 7 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques #cs.AI #cs.LG
  9. Winning the Lottery with Continuous Sparsification
    2019/12/10 by Pedro Savarese, Savarese, Pedro, Hugo Silva +3 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  10. Self-Supervised Visual Representation Learning from Hierarchical Grouping
    2020/12/05 by Xiao Zhang, Zhang, Xiao, Michael Maire +1 · 3 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications
  11. Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
    2015/12/08 by Narihira, Takuya, Maire, Michael, Yu, Stella X. · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  12. Learning Implicitly Recurrent CNNs Through Parameter Sharing
    2019/02/26 by Savarese, Pedro, Maire, Michael · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Growing Efficient Deep Networks by Structured Continuous Sparsification
    2020/07/30 by Yuan, Xin, Savarese, Pedro, Maire, Michael · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Latent Intrinsics Emerge from Training to Relight
    2024/05/31 by Zhang, Xiao, Gao, William, Jain, Seemandhar +3 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  15. HyperFields: Towards Zero-Shot Generation of NeRFs from Text
    2023/10/26 by Babu, Sudarshan, Liu, Richard, Zhou, Avery +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  16. SONIQ: System-Optimized Noise-Injected Ultra-Low-Precision Quantization with Full-Precision Parity
    2023/11/23 by Zhou, Cyrus, Savarese, Pedro, Hassman, Zack +4 · 2 citations
    #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Performance (cs.PF)
  17. Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators
    2024/04/23 by Mingyuan Xiang, Xuhan Xie, Xiang, Mingyuan +9 · 2 citations
    Engineering · #Advanced Memory and Neural Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Radiation Effects in Electronics
  18. Information-Theoretic Segmentation by Inpainting Error Maximization
    2020/12/14 by Savarese, Pedro, Kim, Sunnie S. Y., Maire, Michael +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  19. Residual Connections Harm Generative Representation Learning
    2024/04/16 by Xiao Zhang, Ruoxi Jiang, Zhang, Xiao +7 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning and Data Classification #Text and Document Classification Technologies
  20. Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
    2023/12/11 by Xiao Zhang, David Yunis, Zhang, Xiao +3 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Neural Networks and Applications #Remote-Sensing Image Classification
  21. Nested Diffusion Models Using Hierarchical Latent Priors
    2024/12/08 by Zhang, Xiao, Jiang, Ruoxi, Willett, Rebecca +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  22. PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
    2024/11/26 by Ayalew, Tewodros, Zhang, Xiao, Wu, Kevin Yuanbo +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Robotics (cs.RO)