Amazon Research Awards

Award Recipients

  • ScientistUniversityTitle
  • Dhruv BatraGeorgia Tech, USAVisual Dialog
  • Matthew BlaschkoUniversity of Leuven, BelgiumCo-regularization and Deep, Weakly-Supervised Segmentation of the Amazon Bin Image Data Set
  • David ChiangUniversity of Notre Dame, USANew Directions for Whole-Sentence Training of Neural Translation Models
  • Hal DaumeUniverity of Maryland, USNeural Machine Translation from Weak User Feedback
  • Desmond ElliottUniversity of Amsterdam, HollandEffective Approaches to Multitask Multimodal Translation
  • Sanja FidlerUniversity of Toronto, CanadaTowards Natural Online Clothing Retail
  • Kristen GraumanUniversity of Texas, USVisual Style and Subtleties: Attributes for Search and Recommendation in Fashion Images
  • Marcin Junczys-DowmuntUniversity of Edinburgh, UKDeployment-ready Open-source Neural Machine Translation
  • Bastian LeibeRWTH Aachen, GermanyEnd-to-End Deep Learning for Human Pose Estimation in Video
  • Adam LopezUniversity of Edinburgh, UKMachine Translation on GPUs
  • Graham NeubigCarnegie Mellon University, USUnified Neural Models of Morphological Analysis and Generation
  • Devi ParikhGeorgia Tech, USACounting Everyday Objects in Everyday Scenes
  • Maryam RahnemoonfarTexas A&M University-Corpus Christi, USART - HPC: Real Time Heterogeneous Product Counting on Amazon Bin Image Dataset based on Deep Learning
  • Cordelia SchmidInria, France3D Human Action Recognition from Monocular RGB Videos
  • Lucia SpeciaUniversity of Sheffield, UKPredicting Relevance and Quality of Machine Translation for Product Reviews
  • Graham TaylorUniversity of Guelph, CanadaParametrizing input to a deep learning architecture
  • Antonio TorralbaMassachusetts Institute of Technology, USALearning vision and language by watching movies and reading books
  • Raquel UrtasunUniversity of Toronto, CanadaHolistic Deep Scene Parsing of Amazon Fulfillment Centers
  • ScientistUniversityTitle
  • Chris Callison-BurchUniversity of Pennsylvania, USALow Resource Machine Translation via Matrix Factorization
  • Marine CarpuatUniversity of Maryland, USAModeling Divergence in Bilingual Sentence Pairs for Machine Translation
  • Kenneth HeafieldUniversity of Edinburgh, UKFaster Decoding and Better Features via Local Coarse-to-Fine
  • Philipp KoehnJohns Hopkins University, USAEfficient High-Speed Search for Phrase-Based Statistical Machine Translation
  • Matt PostJohns Hopkins University, USATranslation into morphologically rich languages with source-side annotations
  • Stefan RiezlerHeidelberg University, GermanyMultimodal Pivots for Low Resource Machine Translation in E-Commerce Localization
  • Lane SchwartzUniversity of Illinois at Urbana-Champaign, USASimple and Reliable Workflow management for replicable scientific computing