James Hays

James Hays

Georgia Institute of Technology

H-index: 55

North America-United States

About James Hays

James Hays, With an exceptional h-index of 55 and a recent h-index of 45 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Computer Vision, Robotics, Machine Learning, AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

I Can't Believe It's Not Scene Flow!

3-D Cloud Masking Across a Broad Swath using Multi-angle Polarimetry and Deep Learning

PressureVision++: Estimating Fingertip Pressure from Diverse RGB Images

Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing

Soft augmentation for image classification

LANe: Lighting-Aware Neural Fields for Compositional Scene Synthesis

Transferring synthetic lidar system data to real world domain for autonomous vehicle training applications

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision

James Hays Information

University

Position

___

Citations(all)

64608

Citations(since 2020)

50410

Cited By

28982

hIndex(all)

55

hIndex(since 2020)

45

i10Index(all)

82

i10Index(since 2020)

77

Email

University Profile Page

Georgia Institute of Technology

Google Scholar

View Google Scholar Profile

James Hays Skills & Research Interests

Computer Vision

Robotics

Machine Learning

AI

Top articles of James Hays

Title

Journal

Author(s)

Publication Date

I Can't Believe It's Not Scene Flow!

arXiv preprint arXiv:2403.04739

Ishan Khatri

Kyle Vedder

Neehar Peri

Deva Ramanan

James Hays

2024/3/7

3-D Cloud Masking Across a Broad Swath using Multi-angle Polarimetry and Deep Learning

EGUsphere

Sean R Foley

Kirk D Knobelspiesse

Andrew M Sayer

Meng Gao

James Hays

...

2024/1/19

PressureVision++: Estimating Fingertip Pressure from Diverse RGB Images

Patrick Grady

Jeremy A Collins

Chengcheng Tang

Christopher D Twigg

Kunal Aneja

...

2024

Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing

Marissa Ramirez de Chanlatte

Phil Colella

Trevor Darrell

Alexandra Katherine Carlson

Huayu Deng

...

2024

Soft augmentation for image classification

Yang Liu

Shen Yan

Laura Leal-Taixé

James Hays

Deva Ramanan

2023

LANe: Lighting-Aware Neural Fields for Compositional Scene Synthesis

arXiv preprint arXiv:2304.03280

Akshay Krishnan

Amit Raj

Xianling Zhang

Alexandra Carlson

Nathan Tseng

...

2023/4/6

Transferring synthetic lidar system data to real world domain for autonomous vehicle training applications

2023/8/22

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision

Feng Luo

Ling Liu

G Geoff Wang

Vijay Kumar

Mark S Ashton

...

2023/11/1

Systems and methods for monocular based object detection

2023/3/2

Modulating pretrained diffusion models for multimodal image synthesis

arXiv preprint arXiv:2302.12764

Cusuh Ham

James Hays

Jingwan Lu

Krishna Kumar Singh

Zhifei Zhang

...

2023/2/24

ZeroFlow: Scalable Scene Flow via Distillation

Kyle Vedder

Neehar Peri

Nathaniel Eliot Chodosh

Ishan Khatri

Eric Eaton

...

2023/10/13

Argoverse 2: Next generation datasets for self-driving perception and forecasting

arXiv preprint arXiv:2301.00493

Benjamin Wilson

William Qi

Tanmay Agarwal

John Lambert

Jagjeet Singh

...

2023/1/2

Learning lightweight object detectors via multi-teacher progressive distillation

Shengcao Cao

Mengtian Li

James Hays

Deva Ramanan

Yu-Xiong Wang

...

2023/7/3

The Un-Kidnappable Robot: Acoustic Localization of Sneaking People

arXiv preprint arXiv:2310.03743

Mengyu Yang

Patrick Grady

Samarth Brahmbhatt

Arun Balajee Vasudevan

Charles C Kemp

...

2023/10/5

An empirical analysis of range for 3d object detection

Neehar Peri

Mengtian Li

Benjamin Wilson

Yu-Xiong Wang

James Hays

...

2023

Zeroflow: Fast zero label scene flow via distillation

arXiv preprint arXiv:2305.10424

Kyle Vedder

Neehar Peri

Nathaniel Chodosh

Ishan Khatri

Eric Eaton

...

2023/5/17

Lidar Panoptic Segmentation and Tracking without Bells and Whistles

Abhinav Agarwalla

Xuhua Huang

Jason Ziglar

Francesco Ferroni

Laura Leal-Taixé

...

2023/10/1

Far3det: Towards far-field 3d detection

Shubham Gupta

Jeet Kanjani

Mengtian Li

Francesco Ferroni

James Hays

...

2023

Systems and methods for producing amodal cuboids

2023/4/20

MAGMA: Music Aligned Generative Motion Autodecoder

arXiv preprint arXiv:2309.01202

Sohan Anisetty

Amit Raj

James Hays

2023/9/3

See List of Professors in James Hays University(Georgia Institute of Technology)