World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
67738
World Ranking
4169
National Ranking
1968

Research.com Recognitions

  • 2015 - Fellow of Alfred P. Sloan Foundation

Overview

James Hays is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on computer vision and related subfields.

The main areas of study for James Hays include:

  • Computer Science
  • Engineering

Within these fields, their subfields of focus are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Automotive Engineering
  • Biomedical Engineering

The research topics frequently covered by James Hays encompass:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Autonomous Vehicle Technology and Safety

James Hays has published extensively, with notable works appearing in a variety of venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Scientific Reports
  • Atmospheric Measurement Techniques

Selected recent papers by James Hays are:

  • RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection, 2024, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting, 2023, arXiv (Cornell University)
  • PVA: Pixel-aligned Volumetric Avatars, 2021, arXiv (Cornell University)
  • Localizing and orienting street views using overhead imagery, 2024, arXiv (Cornell University)

Collaboration plays a role in their work, with frequent co-authors being:

  • Deva Ramanan
  • Charles C. Kemp
  • Chengcheng Tang
  • Samarth Brahmbhatt
  • Christopher D. Twigg

James Hays received recognition as a Fellow of the Alfred P. Sloan Foundation in 2015.

Best Publications

  • Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin;Michael Maire;Serge J. Belongie;James Hays

  • SUN database: Large-scale scene recognition from abbey to zoo

    Jianxiong Xiao;James Hays;Krista A. Ehinger;Aude Oliva

  • Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin;Michael Maire;Serge Belongie;Lubomir Bourdev

  • Argoverse: 3D Tracking and Forecasting With Rich Maps

    Ming-Fang Chang;Deva Ramanan;James Hays;John Lambert

  • IM2GPS: estimating geographic information from a single image

    J. Hays;A.A. Efros

  • How do humans sketch objects

    Mathias Eitz;James Hays;Marc Alexa

  • Scene completion using millions of photographs

    James Hays;Alexei A. Efros

  • SUN attribute database: Discovering, annotating, and recognizing scene attributes

    Genevieve Patterson;James Hays

  • An empirical study of context in object detection

    Santosh K Divvala;Derek Hoiem;James H Hays;Alexei A Efros

  • The sketchy database: learning to retrieve badly drawn bunnies

    Patsorn Sangkloy;Nathan Burnell;Cusuh Ham;James Hays

  • Scribbler: Controlling Deep Image Synthesis with Sketch and Color

    Patsorn Sangkloy;Jingwan Lu;Chen Fang;Fisher Yu

  • Edge-based blur kernel estimation using patch priors

    Libin Sun;Sunghyun Cho;Jue Wang;J. Hays

  • The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding

    Genevieve Patterson;Chen Xu;Hang Su;James Hays

  • Learning deep representations for ground-to-aerial geolocalization

    Tsung-Yi Lin;Yin Cui;Serge Belongie;James Hays

  • Geometry-Aware Learning of Maps for Camera Localization

    Samarth Brahmbhatt;Jinwei Gu;Kihwan Kim;James Hays

  • On Convergence and Stability of GANs

    Naveen Kodali;James Hays;Jacob Abernethy;Zsolt Kira

  • Near-regular texture analysis and manipulation

    Yanxi Liu;Wen-Chieh Lin;James Hays

  • SUN Database: Exploring a Large Collection of Scene Categories

    Jianxiong Xiao;Krista A. Ehinger;James Hays;Antonio Torralba

  • SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis

    Wengling Chen;James Hays

  • Composing Text and Image for Image Retrieval - an Empirical Odyssey

    Nam Vo;Lu Jiang;Chen Sun;Kevin Murphy

  • Argoverse: 3D Tracking and Forecasting with Rich Maps

    Ming-Fang Chang;John Lambert;Patsorn Sangkloy;Jagjeet Singh

  • MapNet: Geometry-Aware Learning of Maps for Camera Localization

    Samarth Brahmbhatt;Jinwei Gu;Kihwan Kim;James Hays

Frequent Co-Authors

Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Jianxiong Xiao
Jianxiong Xiao AutoX, Inc.
Serge Belongie
Serge Belongie University of Copenhagen
Yanxi Liu
Yanxi Liu Pennsylvania State University
Tsung-Yi Lin
Tsung-Yi Lin Nvidia (United States)
Irfan Essa
Irfan Essa Georgia Institute of Technology
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Fisher Yu
Fisher Yu ETH Zurich

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