Projects

Egocentric computer vision

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Ego4d: Around the world in 3,000 hours of egocentric video
Kristen Grauman, Andrew Westbury, Eugene Byrne, Vincent Cartillier, Zachary Chavis, Antonino Furnari, Rohit Girdhar, et al.
PAMI 2025
[website] [video]
See also: [CVPR 2022 version]
Decorative Image
DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos
Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella Atkins, David J. Crandall
PAMI 2023
[website]
Decorative Image
Can Privacy Be Satisfying? On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms
Rakibul Hasan, Yifang Li, Eman Hassan, Kelly Caine, David J. Crandall, Roberto Hoyle, Apu Kapadia
CHI 2019
Decorative Image
From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video
Zehua Zhang, Sven Bambach, David Crandall, Chen Yu
BMVC 2018
[website]
Decorative Image
An Egocentric Perspective on Active Vision and Visual Object Learning in Toddlers
Sven Bambach, David Crandall, Linda Smith, Chen Yu
ICDL 2017
Decorative Image
Objects in the Center: How the Infant's Body Constrains Infant Scenes
Sven Bambach, Linda Smith, David Crandall, Chen Yu
ICDL 2016
Decorative Image
Viewpoint Integration for Hand-Based Recognition of Social Interactions from a First-Person View
Sven Bambach, David Crandall, Chen Yu
ICMI 2015
[poster]
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Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras
Roberto Hoyle, Robert Templeman, Denise Anthony, David Crandall, Apu Kapadia
CHI 2015
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Challenges in Running Wearable Camera-Related User Studies
Roberto Hoyle, Apu Kapadia, David Crandall
ACM CSCW Workshop on The Future of Networked Privacy 2015
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Privacy Behaviors of Lifeloggers using Wearable Cameras
Roberto Hoyle, Robert Templeman, Steven Armes, Denise Anthony, David Crandall, Apu Kapadia
UbiComp 2014
[video]
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Reactive Security: Responding to Visual Stimuli from Wearable Cameras
Robert Templeman, Roberto Hoyle, David Crandall, Apu Kapadia
Ubicomp UPSIDE Workshop 2014
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Understanding Embodied Visual Attention in Child-Parent Interaction
Sven Bambach, David Crandall, Chen Yu
ICDL 2013

3-d scene modeling

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HVPUNet: Hybrid-Voxel Point-cloud Upsampling Network
Juhyung Ha, Vibhas Kumar Vats, Alimoor Reza, Soon-heung Jung, David J. Crandall
ICCV 2025
Decorative Image
Deep learning-based 3D reconstruction from multiple images: A survey
Chuhua Wang, Md Alimoor Reza, Vibhas Vats, Yingnan Ju, Nikhil Thakurdesai, Yuchen Wang, David J. Crandall, et al.
Neurocomputing 2024
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Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction
Mingze Xu, Chenyou Fan, John Paden, Geoffrey Fox, David Crandall
WACV 2018
[website] [video]
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SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion
David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher
PAMI 2013
[website]
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Discrete-Continuous Optimization for Large-scale Structure from Motion
David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher
CVPR 2011
[website]

Privacy and security applications and implications

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Plasmonic Anti-counterfeit Tags with High Encoding Capacity Rapidly Authenticated with Deep Machine Learning
Joshua Smith, Md Alimoor Reza, Nathanael Smith, Jianxin Gu, Maha Ibrar, David Crandall, Sara Skrabalak
ACS Nano 2021
Decorative Image
Deep Neural Network-based Detection and Verification of Microelectronic Images
Md Alimoor Reza, Zhenhua Chen, David J. Crandall
Journal of Hardware and Systems Security 2020
Decorative Image
Automatically Detecting Bystanders in Photos to Reduce Privacy Risks
Rakibul Hasan, David Crandall, Mario Fritz, Apu Kapadia
Oakland 2020
[video]
Decorative Image
Can Privacy Be Satisfying? On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms
Rakibul Hasan, Yifang Li, Eman Hassan, Kelly Caine, David J. Crandall, Roberto Hoyle, Apu Kapadia
CHI 2019
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Viewer Experience of Obscuring Scene Elements in Photos to Enhance Privacy
Rakibul Hasan, Eman Hassan, Yifang Li, Kelly Caine, David J. Crandall, Roberto Hoyle, Apu Kapadia
CHI 2018
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Understanding the Physical Safety, Security, and Privacy Concerns of People with Visual Impairments
Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia
IEEE Internet Computing 2017
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Addressing supply chain risks of microelectronic devices through computer vision
Zhenhua Chen, Tingyi Wanyan, Ramya Rao, Benjamin Cutilli, James Sowinski, David Crandall, Robert Templeman
AIPR 2017
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Considering Privacy Implications of Assistive Devices for People with Visual Impairments
Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia
WISH 2016
Decorative Image
Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras
Roberto Hoyle, Robert Templeman, Denise Anthony, David Crandall, Apu Kapadia
CHI 2015
Decorative Image
Privacy Concerns and Behaviors of People with Visual Impairments
Tousif Ahmed, Roberto Hoyle, Kay Connelly, David Crandall, Apu Kapadia
CHI 2015
Decorative Image
Privacy Behaviors of Lifeloggers using Wearable Cameras
Roberto Hoyle, Robert Templeman, Steven Armes, Denise Anthony, David Crandall, Apu Kapadia
UbiComp 2014
[video]
Decorative Image
mFingerprint: Privacy-preserving user modeling with multimodal mobile device footprints
Haipeng Zhang, Zhixian Yan, Jun Yang, Emmanuel Munguia Tapia, David Crandall
SBP 2014
Decorative Image
Reactive Security: Responding to Visual Stimuli from Wearable Cameras
Robert Templeman, Roberto Hoyle, David Crandall, Apu Kapadia
Ubicomp UPSIDE Workshop 2014
Decorative Image
De-anonymizing users across heterogeneous social computing platforms
Mohammed Korayem, David Crandall
ICWSM 2013
[poster]
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Solving Avatar Captchas automatically
Mohammed Korayem, Abdallah A. Mohamed, David Crandall, Roman V. Yampolskiy
AMLTA 2012

See also: [ICMLA 2012 paper]

AI for Health

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Preliminary findings regarding the association between patient demographics and ED experience scores across a regional health system: A cross sectional study using natural language processing of patient comments
Diane Kuhn, Nicholas Harrison, Paul Musey, David J. Crandall, Peter Pang, Julie Welch, Christopher Harle
International Journal of Medical Informatics 2025
Decorative Image
Bridging Human Intuition and AI in Colorful Food Assessment
Weslie Khoo, Long-Jing Hsu, Frangil M. Ramirez, Liang Jhen Huang, Trisha Konkimalla, Chia-Fang Chung, David J. Crandall
CHI 2025
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Computer Vision for Dietary Assessment
Chia-Fang Chung, Alejandra Ramos, Pei-Ni Chiang, Chien-Chun Wu, Connie Anne Tan, Weslie Khoo, David Crandall
CHI Workshop on Realizing AI in Healthcare: Challenges Appearing in the Wild 2021
[video]

Social robotics and human-robot interaction

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Million Eyes on the Robot Umps: The Case for Studying Sports in HRI Through Baseball
Waki Kamino, Andrea Wang, Dhruv Agarwal, Sil Hamilton, Eun Jeong Kang, Jieun Kim, Keigo Kusumegi, et al.
HRI 2025
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Let's Talk About You: Development and Evaluation of an Autonomous Robot to Support Ikigai Reflection in Older Adults
Long-Jing Hsu, Weslie Khoo, Manasi Swaminathan, Kyrie Jig Amon, Rasika Muralidharan, Hiroki Sato, Min Min Thant, et al.
RO-MAN 2024
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“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, Hiroki Sato, Kate Tsui, et al.
HRI 2024
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Is Now a Good Time? Opportune Moments for Interacting with an Ikigai Support Robot
Long-Ling Hsu, Weslie Khoo, Peter Lenon Goshomi, Philip B. Stafford, Manasi Swaminathan, Kate Tsui, David J. Crandall, et al.
HRI 2024
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If [YourName] can code, so can you! End-user robot programming for non-experts
Manasi Swaminathan, Long-Ling Hsu, Min Min Thant, Kyrie Jig Amon, Anna Kim, Kate Tsui, Selma Sabanovic, et al.
HRI 2024
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Finding Its Voice: Exploring the Influence of Robot Voices on Fit, Social Attributes, and Willingness Among Older Adults in the U.S. and Japan
Long-Jing Hsu, Weslie Khoo, Natasha Randall, Waki Kamino, Swapna Joshi, Hiroki Sato, David Crandall, et al.
RO-MAN 2023
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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, Zachary Kaufman, Agness Lungu, et al.
HRI 2023
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Forecasting Hand Gestures for Human-Drone Interaction
Jangwon Lee, Haodan Tan, David Crandall, Selma Sabanovic
HRI 2018

Autonomous perception and navigation

Decorative Image
DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos
Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella Atkins, David J. Crandall
PAMI 2023
[website]
Decorative Image
Few-shot segmentation and Semantic Segmentation for Underwater Imagery
Imran Kabir, Shaurya Shubham, Vijayalaxmi Bhimrao Maigur, Mahesh Ravindra Latnekar, Mayank Kumar Raunak, Nikhil Shripad Thakurdesai, David Crandall, et al.
IROS 2023
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Real-Time, Cloud-based Object Detection for Unmanned Aerial Vehicles
Jangwon Lee, Jingya Wang, David Crandall, Selma Sabanovic, Geoffrey Fox
IEEE Robotic Computing 2017
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Cloud-based parallel implementation of SLAM for mobile robots
Supun Kamburugamuve, Hengjing He, Geoffrey Fox, David Crandall
ISC 2015
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Vehicle Recognition with Constrained Multiple Instance SVMs
Kun Duan, Luca Marchesotti, David Crandall
WACV 2014
[poster]

Image and video segmentation

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Few-shot segmentation and Semantic Segmentation for Underwater Imagery
Imran Kabir, Shaurya Shubham, Vijayalaxmi Bhimrao Maigur, Mahesh Ravindra Latnekar, Mayank Kumar Raunak, Nikhil Shripad Thakurdesai, David Crandall, et al.
IROS 2023
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Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks
Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo
PAMI 2022
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Segmenting Objects from Relational Visual Data
Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Luc Van Gool
PAMI 2022
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Automatic Annotation for Semantic Segmentation in Indoor Scenes
Md Alimoor Reza, Akshay Naik, Kai Chen, David Crandall
IROS 2019

Action and activity recognition in video

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Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks
Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo
PAMI 2022
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Viewpoint Integration for Hand-Based Recognition of Social Interactions from a First-Person View
Sven Bambach, David Crandall, Chen Yu
ICMI 2015
[poster]
Decorative Image
A Framework for Reliable Text-Based Indexing of Video
Rangachar Kasturi, Sameer Antani, David Crandall
Symposium on Document Image Understanding Technology 2001
Decorative Image
Evaluation of Methods for Detection and Localization of Text from Video
Sameer Antani, David Crandall, Anand Narasimamurthy, Vladimir Y. Mariano, Rangachar Kasturi
IAPR Workshop on Document Analysis Systems 2000

Computational models of human development

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Learning the generative principles of a symbol system from limited examples
Lei Yuan, Violet Xiang, David Crandall, Linda Smith
Cognition 2020
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A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras
Jeremy I. Borjon, Sara E. Schroer, Sven Bambach, Lauren K. Slone, Drew H. Abney, David J. Crandall, Linda B. Smith
Journal of Visualized Experiments 2019
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How do infants start learning object names in a sea of clutter?
Hadar Karmazyn Raz, Drew H. Abney, David Crandall, Chen Yu, Linda Smith
CogSci 2019
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Towards Detecting Dyslexia in Children's Handwriting Using Neural Networks
Katie Spoon, David Crandall, Katie Siek
ICML Workshop on AI for Social Good 2019
[website]
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An Egocentric Perspective on Active Vision and Visual Object Learning in Toddlers
Sven Bambach, David Crandall, Linda Smith, Chen Yu
ICDL 2017
Decorative Image
Objects in the Center: How the Infant's Body Constrains Infant Scenes
Sven Bambach, Linda Smith, David Crandall, Chen Yu
ICDL 2016
Decorative Image
Understanding Embodied Visual Attention in Child-Parent Interaction
Sven Bambach, David Crandall, Chen Yu
ICDL 2013

Vision-language models

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How do infants start learning object names in a sea of clutter?
Hadar Karmazyn Raz, Drew H. Abney, David Crandall, Chen Yu, Linda Smith
CogSci 2019

Social media mining and modeling

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Exploring Medical YouTubers' Parasocial Visual Cues in Their COVID-related Videos
Shujon Naha, Seung Woo Chae, Noriko Hara, David Crandall
SMSociety 2024
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Empowering Borrowers in their Choice of Lenders: Decoding Service Quality from Customer Complaints
Aniruddha M. Godbole, David J. Crandall
WebSci 2019
[website]
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Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study
Noam Levin, Saleem Ali, David Crandall
Applied Geography 2018
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Recognizing landmarks in large-scale social image collections
David Crandall, Yunpeng Li, Stefan Lee, Daniel Huttenlocher
Visual Analysis and Geolocalization of Large Scale Imagery 2016

See also: [ICCV09 paper]
Decorative Image
Where have all the people gone? Enhancing global conservation using night lights and social media
Noam Levin, Salit Kark, David Crandall
Ecological Applications 2015
Decorative Image
Linking past to present: Discovering style in two centuries of architecture
Stefan Lee, Nicolas Maisonneuve, David Crandall, Alexei Efros, Josef Sivic
ICCP 2015
[website] [poster]
Decorative Image
SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion
David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher
PAMI 2013
[website]
Decorative Image
De-anonymizing users across heterogeneous social computing platforms
Mohammed Korayem, David Crandall
ICWSM 2013
[poster]
Decorative Image
Mining Photo-sharing Websites to Study Ecological Phenomena
Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn
WWW 2012
[website]
Decorative Image
Beyond Co-occurrence: Discovering and Visualizing Tag Relationships from Geo-spatial and Temporal Similarities
Haipeng Zhang, Mohammed Korayem, Erkang You, David Crandall
WSDM 2012
[website] [video] [poster]
Decorative Image
Networks of Landmarks, Photos, and People
David Crandall, Noah Snavely
Leonardo 2011
Decorative Image
Discrete-Continuous Optimization for Large-scale Structure from Motion
David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher
CVPR 2011
[website]
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Feedback Effects between Similarity and Social Influence in Online Communities
David Crandall, Daniel Cosley, Daniel Huttenlocher, Jon Kleinberg, Sid Suri
KDD 2008
[video]

Observing and modeling human behavior

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Observing Pianist Accuracy and Form with Computer Vision
Jangwon Lee, Bardia Doosti, Yupeng Gu, David Cartledge, David J. Crandall, Christopher Raphael
WACV 2019
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Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study
Noam Levin, Saleem Ali, David Crandall
Applied Geography 2018
Decorative Image
From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video
Zehua Zhang, Sven Bambach, David Crandall, Chen Yu
BMVC 2018
[website]
Decorative Image
mFingerprint: Privacy-preserving user modeling with multimodal mobile device footprints
Haipeng Zhang, Zhixian Yan, Jun Yang, Emmanuel Munguia Tapia, David Crandall
SBP 2014
Decorative Image
Networks of Landmarks, Photos, and People
David Crandall, Noah Snavely
Leonardo 2011
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Feedback Effects between Similarity and Social Influence in Online Communities
David Crandall, Daniel Cosley, Daniel Huttenlocher, Jon Kleinberg, Sid Suri
KDD 2008
[video]
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Psychophysical study of image orientation perception
Jiebo Luo, David Crandall, Amit Singhal, Matthew Boutell, Robert Gray
Spatial Vision 2003

Neurosymbolic approaches to AI

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Run Like a Neural Network, Explain Like k-Nearest Neighbor
Xiaomeng Ye, David Leake, Yu Wang, David J. Crandall
IJCAI 2025
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Extracting Features with Deep Learning for Ensemble-Driven Case-Based Classification
Zachary Wilkerson, David Leake, David Crandall, Benjamin Wilkerson
ICCBR 2025
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Learning Case Features with Proxy-Guided Deep Neural Networks
Vibhas Vats, Zachary Wilkerson, Hiroki Sato, David Leake, David Crandall
ICCBR 2025
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Network Implementation of CBR: Case Study of a Neural Network K-NN
Xiaomeng Ye, David Leake, Yu Wang, Ziwei Zhao, David J. Crandall
ICCBR 2024
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Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach
Zachary Wilkerson, David Leake, Vibhas Vats, David J. Crandall
ICCBR 2024
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Examining the Impact of Network Architecture on Extracted Feature Quality for CBR
Zachary Wilkerson, Vibhas Vats, Karan Acharya, David Leake, David Crandall
ICCBR 2023
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Enhancing Case-Based Reasoning with Neural Networks
David Leake, Zachary Wilkerson, Xiaomeng Ye, David J. Crandall
Compendium of Neurosymbolic Artificial Intelligence 2023
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Case Adaptation with Neural Networks: Capabilities and Limitations
Xiaomeng Ye, David Leake, David Crandall
ICCBR 2022
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Extracting Case Indices from Convolutional Neural Networks: A Comparative Study
David Leake, Zachary Wilkerson, David Crandall
ICCBR 2022
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Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach
Xiaomeng Ye, Ziwei Zhao, David Leake, David Crandall
ICCC 2022
[video]
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Generating Counterfactual Images: Toward a C2C-VAE Approach
Ziwei Zhao, David Leake, Xiaomeng Ye, David Crandall
ICCBR Workshop on CBR for Explanation of Intelligent Systems 2022
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Learning Adaptations for Case-Based Classification: A Neural Network Approach
Xiaomeng Ye, David Leake, Vahid Jalali, David Crandall
ICCBR 2021
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On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval
Zachary Wilkerson, David Leake, David Crandall
ICCBR 2021
[video]
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Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation
David Leake, Xiaomeng Ye, David Crandall
AAAI-MAKE 2021
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Bringing Case Based Reasoning to Deep Learning
David Leake, David Crandall
International Conference on Case-Based Reasoning Special Track on Challenges and Promises 2020

Image and object recognition

Decorative Image
Automatically Detecting Bystanders in Photos to Reduce Privacy Risks
Rakibul Hasan, David Crandall, Mario Fritz, Apu Kapadia
Oakland 2020
[video]
Decorative Image
Recognizing landmarks in large-scale social image collections
David Crandall, Yunpeng Li, Stefan Lee, Daniel Huttenlocher
Visual Analysis and Geolocalization of Large Scale Imagery 2016

See also: [ICCV09 paper]
Decorative Image
Human pose estimation through composite multi-layer models
Kun Duan, Dhruv Batra, David Crandall
Signal Processing 2015
[website]
See also: [BMVC 2012 version]
Decorative Image
Predicting Geo-informative Attributes in Large-scale Image Collections using Convolutional Neural Networks
Stefan Lee, Haipeng Zhang, David Crandall
WACV 2015
[website] [poster]
Decorative Image
Vehicle Recognition with Constrained Multiple Instance SVMs
Kun Duan, Luca Marchesotti, David Crandall
WACV 2014
[poster]
Decorative Image
Discovering Localized Attributes for Fine-grained Recognition
Kun Duan, Devi Parikh, David Crandall, Kristen Grauman
CVPR 2012
[website] [poster]
Decorative Image
Composite Models of Objects and Scenes for Category Recognition
David Crandall, Daniel Huttenlocher
CVPR 2007
Decorative Image
Color Object Detection using Spatial-Color Joint Probability Functions
Jiebo Luo, David Crandall
TIP 2006

See also: [CVPR 2004 version]
Decorative Image
Spatial Priors for Part-Based Recognition using Statistical Models
David Crandall, Pedro Felzenszwalb, Daniel Huttenlocher
CVPR 2005
[website]
See also: [Expanded LNCS version]

Survey papers

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Deep learning-based 3D reconstruction from multiple images: A survey
Chuhua Wang, Md Alimoor Reza, Vibhas Vats, Yingnan Ju, Nikhil Thakurdesai, Yuchen Wang, David J. Crandall, et al.
Neurocomputing 2024
Decorative Image
Contributions to High-Performance Big Data Computing
Geoffrey Fox, Judy Qiu, David Crandall, Gregor Von Laszewski, Oliver Beckstein, John Paden, Ioannis Paraskevakos, et al.
Future Trends of HPC in a Disruptive Scenario 2019
Decorative Image
Networks of Landmarks, Photos, and People
David Crandall, Noah Snavely
Leonardo 2011

AI and Art, Humanities, and Music

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“It Was Really All About Books:” Speech-like Techno-Masculinity in the Rhetoric of Dot-Com Era Web Design Books
Sam Goree, David Crandall, Norman Su
ACM Transactions on Computer-Human Interaction 2023
[video]
Decorative Image
Investigating the Homogenization of Web Design: A Mixed-Methods Approach
Sam Goree, Bardia Doosti, David J. Crandall, Norman Su
CHI 2021
[video]
See also: [The Conversation article]
Decorative Image
Observing Pianist Accuracy and Form with Computer Vision
Jangwon Lee, Bardia Doosti, Yupeng Gu, David Cartledge, David J. Crandall, Christopher Raphael
WACV 2019
Decorative Image
A deep study into the history of web design
Bardia Doosti, David J. Crandall, Norman Makoto Su
WebSci 2017
[website]
Decorative Image
Understanding the Aesthetic Evolution of Websites: Towards a Notion of Design Periods
Wen Chen, David Crandall, Norman Su
CHI 2017
Decorative Image
Linking past to present: Discovering style in two centuries of architecture
Stefan Lee, Nicolas Maisonneuve, David Crandall, Alexei Efros, Josef Sivic
ICCP 2015
[website] [poster]

AI for Ecology and Polar Science

Decorative Image
Automated Ice-Bottom Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S
Victor Berger, Mingze Xu, Mohanad Al-Ibadi, Shane Chu, David Crandall, John Paden, Geoffrey Fox
JSTARS 2019
Decorative Image
Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction
Mingze Xu, Chenyou Fan, John Paden, Geoffrey Fox, David Crandall
WACV 2018
[website] [video]
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Crossover Analysis and Automated Layer-Tracking Assessment of the Extracted DEM of the Basal Topography of the Canadian Arctic Archipelago Ice-Cap
Mohanad Al-Ibadi, Jordan Sprick, Sravya Athinarapu, Victor Berger, Theresa Stumpf, John Paden, Carl Leuschen, et al.
IEEE Radar Conference 2018
Decorative Image
Automatic estimation of ice bottom surfaces from radar imagery
Mingze Xu, David J. Crandall, Geoffrey C. Fox, John D. Paden
ICIP 2017
[website]
Decorative Image
Where have all the people gone? Enhancing global conservation using night lights and social media
Noam Levin, Salit Kark, David Crandall
Ecological Applications 2015
Decorative Image
Predicting Geo-informative Attributes in Large-scale Image Collections using Convolutional Neural Networks
Stefan Lee, Haipeng Zhang, David Crandall
WACV 2015
[website] [poster]
Decorative Image
Estimating Bedrock and Surface Layer Boundaries and Confidence Intervals in Ice Sheet Radar Imagery using MCMC
Stefan Lee, Jerome Mitchell, David Crandall, Geoffrey C. Fox
ICIP 2014
[website]
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Automatic Near Surface Estimation from Snow Radar Imagery
Jerome E. Mitchell, David Crandall, Geoffrey Fox, John Paden
IGARSS 2013
Decorative Image
Layer-finding in radar echograms using probabilistic graphical models
David Crandall, Geoffrey Fox, John Paden
ICPR 2012
[website]
Decorative Image
Mining Photo-sharing Websites to Study Ecological Phenomena
Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn
WWW 2012
[website]

Accessibility

Decorative Image
Understanding the Physical Safety, Security, and Privacy Concerns of People with Visual Impairments
Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia
IEEE Internet Computing 2017
Decorative Image
Considering Privacy Implications of Assistive Devices for People with Visual Impairments
Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia
WISH 2016
Decorative Image
Privacy Concerns and Behaviors of People with Visual Impairments
Tousif Ahmed, Roberto Hoyle, Kay Connelly, David Crandall, Apu Kapadia
CHI 2015

Science of Science

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An efficient system to fund science: from proposal review to peer-to-peer distributions
Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner
Scientometrics 2017
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Challenges in Running Wearable Camera-Related User Studies
Roberto Hoyle, Apu Kapadia, David Crandall
ACM CSCW Workshop on The Future of Networked Privacy 2015

Document and text recognition

Decorative Image
A Framework for Reliable Text-Based Indexing of Video
Rangachar Kasturi, Sameer Antani, David Crandall
Symposium on Document Image Understanding Technology 2001
Decorative Image
Evaluation of Methods for Detection and Localization of Text from Video
Sameer Antani, David Crandall, Anand Narasimamurthy, Vladimir Y. Mariano, Rangachar Kasturi
IAPR Workshop on Document Analysis Systems 2000

Machine learning

Decorative Image
Genetic-GAN: Synthesizing images between two domains by genetic crossover
Ishtiak Zaman, David Crandall
ECCV AIM 2020
[website]

Education and AI

Decorative Image
Hello Research! Developing an Intensive Research Experience for Undergraduate Women
Suzanne Menzel, Katie Siek, David Crandall
SIGCSE 2019
[website]

Egocentric Computer Vision