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Adobe Media and Data Science Research (MDSR) Laboratory
Adobe Media and Data Science Research (MDSR) Laboratory
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Mayur Hemani

Mayur Hemani

Senior ML Research Scientist

Adobe Media and Data Science Research

I enjoy creating smart, usable products and writing code. My research interests include few-shot approaches to computer vision, metric learning, representation learning, human-AI interaction, and computational art.

Interests
  • Computer Vision
  • Multimodal Representations
  • Human-computer Interaction
Education
  • M.Tech. Computer Science, 2006

    IIIT Hyderabad

Latest

  • EOPose: Exemplar-based object reposing using Generalized Pose Correspondences
  • Transform Your Marketing Strategy with Adobe Content Analytics
  • Parameter Efficient Local Implicit Image Function Network for Face Segmentation
  • UMFuse: Unified Multi View Fusion for Human Editing applications
  • DeAR Debiasing vision-language models are with additive residuals
  • VGFlow: Visibility guided flow network for human reposing
  • What Ails One-Shot Image Segmentation: A Data Perspective
  • ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors
  • SieveNet: A Unified Framework for Robust Image-based Virtual Try-On
  • SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation

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