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Iasonas Kokkinos

  1. Describing Textures in the Wild
    2013/11/14 by Mircea Cimpoi, Cimpoi, Mircea, Subhransu Maji +7 · 265 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection
  2. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
    2017/04/27 by Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos +3 · 262 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Robotics and Sensor-Based Localization
  3. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
    2016/06/02 by Liang-Chieh Chen, Chen, Liang-Chieh, George Papandreou +7 · 183 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 #Robotics and Sensor-Based Localization
  4. UberNet: Training a `Universal' Convolutional Neural Network for Low-,\n Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
    2016/09/07 by Iasonas Kokkinos, Kokkinos, Iasonas · 9 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #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) #Visual Attention and Saliency Detection
  5. MultiGrain: a unified image embedding for classes and instances
    2019/02/14 by Maxim Berman, Hervé Jeǵou, Berman, Maxim +7 · 9 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  6. Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
    2018/06/18 by Zhixin Shu, Mihir Sahasrabudhe, Shu, Zhixin +8 · 3 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis
  7. Learning monocular 3D reconstruction of articulated categories from\n motion
    2021/03/30 by Filippos Kokkinos, Kokkinos, Filippos, Iasonas Kokkinos +1 · 2 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG) #Optical measurement and interference techniques
  8. I-Support: A robotic platform of an assistive bathing robot for the elderly population
    2020/02/03 by A. Zlatintsi, Athanasia Zlatintsi, Αθανάσιος Δομέτιος +39 · 2 citations
    Psychology · Engineering · #Social Robot Interaction and HRI #Prosthetics and Rehabilitation Robotics #Soft Robotics and Applications
  9. Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D\n Morphable Model using Deep Non-Rigid Structure from Motion
    2019/04/26 by Mihir Sahasrabudhe, Zhixin Shu, Sahasrabudhe, Mihir +9 · 1 citation
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis
  10. Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation\n with Deep Gaussian CRFs
    2016/03/28 by Siddhartha Chandra, Chandra, Siddhartha, Iasonas Kokkinos +1 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)