David Crandall

David Crandall

Indiana University Bloomington

H-index: 55

North America-United States

About David Crandall

David Crandall, With an exceptional h-index of 55 and a recent h-index of 45 (since 2020), a distinguished researcher at Indiana University Bloomington, specializes in the field of Computer vision, machine learning, data mining, social networks.

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

If [YourName] Can Code, So Can You! End-User Robot Programming For Non-Experts

" Give it Time:" Longitudinal Panels Scaffold Older Adults' Learning and Robot Co-Design

Transformer for Object Re-Identification: A Survey

GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo

Geometric Constraints in Deep Learning Frameworks: A Survey

Is Now a Good Time? Opportune Moments for Interacting with an Ikigai Support Robot

Addressing the harms of AI-generated inauthentic content

Few-Shot Segmentation and Semantic Segmentation for Underwater Imagery

David Crandall Information

University

Position

Associate Professor of Informatics and Computing

Citations(all)

13718

Citations(since 2020)

7541

Cited By

8630

hIndex(all)

55

hIndex(since 2020)

45

i10Index(all)

131

i10Index(since 2020)

109

Email

University Profile Page

Indiana University Bloomington

Google Scholar

View Google Scholar Profile

David Crandall Skills & Research Interests

Computer vision

machine learning

data mining

social networks

Top articles of David Crandall

Title

Journal

Author(s)

Publication Date

If [YourName] Can Code, So Can You! End-User Robot Programming For Non-Experts

Manasi Swaminathan

Long-Jing Hsu

Min Min Thant

Kyrie Jig Amon

Anna S Kim

...

2024/3/11

" Give it Time:" Longitudinal Panels Scaffold Older Adults' Learning and Robot Co-Design

Long-Jing Hsu

Philip B Stafford

Weslie Khoo

Manasi Swaminathan

Kyrie Jig Amon

...

2024/3/11

Transformer for Object Re-Identification: A Survey

Mang Ye

Shuoyi Chen

Chenyue Li

Wei-Shi Zheng

David Crandall

...

2024/1/13

GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo

Vibhas K Vats

Sripad Joshi

David J Crandall

Md Alimoor Reza

Soon-heung Jung

2024

Geometric Constraints in Deep Learning Frameworks: A Survey

arXiv preprint arXiv:2403.12431

Vibhas K Vats

David J Crandall

2024/3/19

Is Now a Good Time? Opportune Moments for Interacting with an Ikigai Support Robot

Long-Jing Hsu

Weslie Khoo

Peter Lenon Goshomi

Philip B Stafford

Manasi Swaminathan

...

2024/3/11

Addressing the harms of AI-generated inauthentic content

Nature Machine Intelligence

Filippo Menczer

David Crandall

Yong-Yeol Ahn

Apu Kapadia

2023/7

Few-Shot Segmentation and Semantic Segmentation for Underwater Imagery

Imran Kabir

Shubham Shaurya

Vijayalaxmi Maigur

Nikhil Thakurdesai

Mahesh Latnekar

...

2023/10/1

Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

arXiv preprint arXiv:2311.18259

Kristen Grauman

Andrew Westbury

Lorenzo Torresani

Kris Kitani

Jitendra Malik

...

2023/11/30

Using manual actions to create visual saliency: an outside-in solution to sustained attention and joint attention

Proceedings of the Annual Meeting of the Cognitive Science Society

Jane Yang

Linda Smith

David Crandall

Chen Yu

2023

“It Was Really All About Books:” Speech-like Techno-Masculinity in the Rhetoric of Dot-Com Era Web Design Books

ACM Transactions on Computer-Human Interaction

Samuel Goree

David Crandall

Norman Makoto Su

2023/3/17

Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision

arXiv preprint arXiv:2307.00064

Samuel Goree

David Crandall

2023/6/30

Finding its Voice: The Influence of Robot Voice on Fit, Social Attributes, and Willingness to Use Among Older Adults in the US and Japan

Long-Jing Hsu

Weslie Khoo

Natasha Randall

Waki Kamino

Swapna Joshi

...

2023/8/28

Method and apparatus for correcting error in depth information estimated from 2D image

2023/11/21

Vindlu: A recipe for effective video-and-language pretraining

CVPR 2023

Feng Cheng

Xizi Wang

Jie Lei

David Crandall

Mohit Bansal

...

2022/12/9

Spill the tea: When robot conversation agents support well-being for older adults

Weslie Khoo

Long-Jing Hsu

Kyrie Jig Amon

Pranav Vijay Chakilam

Wei-Chu Chen

...

2023/3/13

Correct for whom? subjectivity and the evaluation of personalized image aesthetics assessment models

Proceedings of the AAAI Conference on Artificial Intelligence

Samuel Goree

Weslie Khoo

David J Crandall

2023/6/26

Enhancing Case-Based Reasoning with Neural Networks

Compendium of Neurosymbolic Artificial Intelligence

David Leake

Zachary Wilkerson

Xiaomeng Ye

David J Crandall

2023/8/4

IEEE Transactions on Circuits and Systems for Video Technology Special Issue on Segment Anything for Videos and Beyond

IEEE Transactions on Circuits and Systems for Video Technology

Wenguan Wang

Hengshuang Zhao

Xinggang Wang

Fisher Yu

David Crandall

2023/11/1

SePaint: Semantic Map Inpainting via Multinomial Diffusion

arXiv preprint arXiv:2303.02737

Zheng Chen

Deepak Duggirala

David Crandall

Lei Jiang

Lantao Liu

2023/3/5

See List of Professors in David Crandall University(Indiana University Bloomington)

Co-Authors

H-index: 122
Jon Kleinberg

Jon Kleinberg

Cornell University

H-index: 121
Jiebo Luo

Jiebo Luo

University of Rochester

H-index: 66
Noah Snavely

Noah Snavely

Cornell University

H-index: 52
David Leake

David Leake

Indiana University Bloomington

H-index: 47
Apu Kapadia

Apu Kapadia

Indiana University Bloomington

H-index: 39
Stefan Lee

Stefan Lee

Oregon State University

academic-engine