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

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What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning
Chi-Hsi Kung, Frangil M Ramirez, Juhyung Ha, Yi-Hsuan Tsai, Yi-Ting Chen, David J. Crandall
ICCV 2025

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LoCoNet: Long-Short Context Network for Active Speaker Detection
Xizi Wang, Feng Cheng, Gedas Bertasius
CVPR 2024

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Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, et al.
CVPR 2024

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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

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Stepwise Goal-Driven Networks for Trajectory Prediction
Chuhua Wang, Yuchen Wang, Mingze Xu, David Crandall
RA-L 2022

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Can Gaze Inform Egocentric Action Recognition?
Zehua Zhang, David Crandall, Michael Proulx, Sachin Talathi, Abhishek Sharma
ETRA 2022

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Whose hand is this? Person Identification from Egocentric Hand Gestures
Satoshi Tsutsui, Yanwei Fu, David J. Crandall
WACV 2021

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Localizing novel attended objects in egocentric views
Shujon Naha, Md Alimoor Reza, Chen Yu, David J. Crandall
BMVC 2020

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HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
Bardia Doosti, Shujon Naha, Majid Mirbagheri, David Crandall
CVPR 2020

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Interaction Graph for Object Importance Estimation in On-road Driving Videos
Zehua Zhang, Ashish Tawari, Sujitha Martin, David Crandall
ICRA 2020

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A Self Validation Network for Object-Level Human Attention Estimation
Zehua Zhang, Chen Yu, David Crandall
NeurIPS 2019

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Embodied Visual Recognition: Learning to Move for Amodal Perception
Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David Crandall, Devi Parikh, Dhruv Batria
ICCV 2019

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Temporal Recurrent Networks for Online Action Detection
Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall
ICCV 2019

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Unsupervised Traffic Accident Detection in First-Person Videos
Yu Yao, Mingze Xu, Yuchen Wang, David Crandall, Ella Atkins
IROS 2019

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Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush
ICRA 2019

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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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Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza, David Crandall, Chen Yu
EPIC 2019

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Deepdiary: Lifelogging image captioning and summarization
Chenyou Fan, Zehua Zhang, David Crandall
Journal of Visual Communication and Image Representation 2018

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Toddler-Inspired Visual Object Learning
Sven Bambach, David Crandall, Linda Smith, Chen Yu
NeurIPS 2018

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Estimating Head Motion from Egocentric Vision
Satoshi Tsutsui, Sven Bambach, David Crandall, Chen Yu
ICMI 2018

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Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos
Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, David Crandall
ECCV 2018

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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

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Identifying first-person camera wearers in third-person videos
Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David Crandall, Michael Ryoo
CVPR 2017

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Exploring inter-observer differences in first-person object views using deep learning models
Sven Bambach, Zehua Zhang, David Crandall, Chen Yu
ICCV MBCC 2017

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Cartooning for enhanced privacy in lifelogging and streaming video
Eman Hassan, Rakibul Hasan, Patrick Shaffer, David Crandall, Apu Kapadia
CVPR CV-COPS 2017 2017

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Objects in the Center: How the Infant's Body Constrains Infant Scenes
Sven Bambach, Linda Smith, David Crandall, Chen Yu
ICDL 2016

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Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach
Sven Bambach, David Crandall, Linda Smith, Chen Yu
CogSci 2016

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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

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PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces
Robert Templeman, Mohammed Korayem, David Crandall, Apu Kapadia
NDSS 2014

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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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This Hand is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video
Stefan Lee, Sven Bambach, David Crandall, John M. Franchak, Chen Yu
CVPR Egovision Workshop 2014

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Understanding Embodied Visual Attention in Child-Parent Interaction
Sven Bambach, David Crandall, Chen Yu
ICDL 2013

Action and activity understanding

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What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning
Chi-Hsi Kung, Frangil M Ramirez, Juhyung Ha, Yi-Hsuan Tsai, Yi-Ting Chen, David J. Crandall
ICCV 2025

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LoCoNet: Long-Short Context Network for Active Speaker Detection
Xizi Wang, Feng Cheng, Gedas Bertasius
CVPR 2024

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Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, et al.
CVPR 2024

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A Survey on Deep Learning Techniques for Video Segmentation
Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang
PAMI 2023

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Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, Ruigang Yang
PAMI 2023

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VindLU: A recipe for Effective Video-and-Language Pretraining
Feng Cheng, Xizi Wang, Jie Lei, David Crandall, Mohit Bansal, Gedas Bertasius
CVPR 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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Action Recognition based on Cross-Situational Action-object Statistics
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David Crandall, Chen Yu
ICDL 2022

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Can Gaze Inform Egocentric Action Recognition?
Zehua Zhang, David Crandall, Michael Proulx, Sachin Talathi, Abhishek Sharma
ETRA 2022

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Learning Video Object Segmentation from Unlabeled Videos
Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven Hoi
CVPR 2020

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A Self Validation Network for Object-Level Human Attention Estimation
Zehua Zhang, Chen Yu, David Crandall
NeurIPS 2019

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Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
Wenguan Wang, Xiankai Lu, Jianbing Shen, David Crandall, Ling Shao
ICCV 2019

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Unsupervised Traffic Accident Detection in First-Person Videos
Yu Yao, Mingze Xu, Yuchen Wang, David Crandall, Ella Atkins
IROS 2019

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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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Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos
Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, David Crandall
ECCV 2018

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Identifying first-person camera wearers in third-person videos
Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David Crandall, Michael Ryoo
CVPR 2017

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A Framework for Reliable Text-Based Indexing of Video
Rangachar Kasturi, Sameer Antani, David Crandall
Symposium on Document Image Understanding Technology 2001

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Robust Extraction of Text in Video
Sameer Antani, David Crandall, Rangachar Kasturi
ICPR 2000

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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

Human development and psychology

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Action Recognition based on Cross-Situational Action-object Statistics
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David Crandall, Chen Yu
ICDL 2022

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Human Learners Integrate Visual and Linguistic Information in Cross-Situational Verb Learning
Yayun Zhang, Andrei Amatuni, Ellis Cain, Xizi Wang, David Crandall, Chen Yu
CogSci 2021

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Are you with me? Modeling joint attention from egocentric vision
Ryan Peters, Andrei Amatuni, Sara Schroer, Shujon Naha, David Crandall, Chen Yu
CogSci 2021

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In-the-Moment Visual Information Determines Learning
Andrei Amatuni, Sara Schroer, Ryan Peters, Md Alimoor Reza, Yayun Zhang, David Crandall, Chen Yu
CogSci 2021

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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 Computational Model of Early Word Learning from the Infant's Point of View
Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza, David Crandall, Chen Yu
CogSci 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

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Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza, David Crandall, Chen Yu
EPIC 2019

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Toddler-Inspired Visual Object Learning
Sven Bambach, David Crandall, Linda Smith, Chen Yu
NeurIPS 2018

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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

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Exploring inter-observer differences in first-person object views using deep learning models
Sven Bambach, Zehua Zhang, David Crandall, Chen Yu
ICCV MBCC 2017

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Objects in the Center: How the Infant's Body Constrains Infant Scenes
Sven Bambach, Linda Smith, David Crandall, Chen Yu
ICDL 2016

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Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach
Sven Bambach, David Crandall, Linda Smith, Chen Yu
CogSci 2016

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Understanding Embodied Visual Attention in Child-Parent Interaction
Sven Bambach, David Crandall, Chen Yu
ICDL 2013

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Psychophysical study of image orientation perception
Jiebo Luo, David Crandall, Amit Singhal, Matthew Boutell, Robert Gray
Spatial Vision 2003

Image and object recognition

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Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, Ruigang Yang
PAMI 2023

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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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Semantically Stealthy Adversarial Attacks against Segmentation Models
Zhenhua Chen, Chuhua Wang, David Crandall
WACV 2022

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Part Segmentation of Unseen Objects Using Keypoint Guidance
Shujon Naha, Qingyang Xiao, Prianka Banik, Md Alimoor Reza, David J. Crandall
WACV 2021

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Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo
ECCV 2020

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Automatically Detecting Bystanders in Photos to Reduce Privacy Risks
Rakibul Hasan, David Crandall, Mario Fritz, Apu Kapadia
Oakland 2020

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HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
Bardia Doosti, Shujon Naha, Majid Mirbagheri, David Crandall
CVPR 2020

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Learning Video Object Segmentation from Unlabeled Videos
Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven Hoi
CVPR 2020

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Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui, Yanwei Fu, David Crandall
NeurIPS 2019

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Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
Wenguan Wang, Xiankai Lu, Jianbing Shen, David Crandall, Ling Shao
ICCV 2019

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Automatic Annotation for Semantic Segmentation in Indoor Scenes
Md Alimoor Reza, Akshay Naik, Kai Chen, David Crandall
IROS 2019

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Toddler-Inspired Visual Object Learning
Sven Bambach, David Crandall, Linda Smith, Chen Yu
NeurIPS 2018

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Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos
Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, David Crandall
ECCV 2018

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Minimizing Supervision for Free-space Segmentation
Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David Crandall
CVPR Workshop on Autonomous Driving 2018

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A unified model for near and remote sensing
Scott Workman, Menghua Zhai, David Crandall, Nathan Jacobs
ICCV 2017

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Identifying first-person camera wearers in third-person videos
Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David Crandall, Michael Ryoo
CVPR 2017

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Enhancing Lifelogging Privacy by Detecting Screens
Mohammed Korayem, Robert Templeman, Dennis Chen, David Crandall, Apu Kapadia
CHI 2016

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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

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Human pose estimation through composite multi-layer models
Kun Duan, Dhruv Batra, David Crandall
Signal Processing 2015

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Vehicle Recognition with Constrained Multiple Instance SVMs
Kun Duan, Luca Marchesotti, David Crandall
WACV 2014

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This Hand is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video
Stefan Lee, Sven Bambach, David Crandall, John M. Franchak, Chen Yu
CVPR Egovision Workshop 2014

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Discovering Localized Attributes for Fine-grained Recognition
Kun Duan, Devi Parikh, David Crandall, Kristen Grauman
CVPR 2012

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Solving Avatar Captchas automatically
Mohammed Korayem, Abdallah A. Mohamed, David Crandall, Roman V. Yampolskiy
AMLTA 2012

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Mapping the World's Photos
David Crandall, Lars Backstrom, Daniel Huttenlocher, Jon Kleinberg
WWW 2009

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Composite Models of Objects and Scenes for Category Recognition
David Crandall, Daniel Huttenlocher
CVPR 2007

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Color Object Detection using Spatial-Color Joint Probability Functions
Jiebo Luo, David Crandall
TIP 2006

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Spatial Priors for Part-Based Recognition using Statistical Models
David Crandall, Pedro Felzenszwalb, Daniel Huttenlocher
CVPR 2005

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Extraction of special effects caption text events from digital video
David Crandall, Sameer Antani, Rangachar Kasturi
IJDAR 2002

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A Framework for Reliable Text-Based Indexing of Video
Rangachar Kasturi, Sameer Antani, David Crandall
Symposium on Document Image Understanding Technology 2001

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Robust Extraction of Text in Video
Sameer Antani, David Crandall, Rangachar Kasturi
ICPR 2000

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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

Neurosymbolic AI and ML

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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

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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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Controlling the Quality of Distillation in Response-Based Network Compression
Vibhas Vats, David Crandall
AAAI International Workshop on Practical Deep Learning in the Wild 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

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Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features
Xiaomeng Ye, Ziwei Zhao, David Leake, Xizi Wang, David Crandall
IJCAI Workshop on Deep Learning, Case-based Reasoning, and AutoML 2021

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

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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

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Generalized Capsule Networks with Trainable Routing Procedure
Zhenhua Chen, Chuhua Wang, Tiancong Zhao, David Crandall
ICML Workshop on Generalization 2019

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Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David Crandall, Dhruv Batra
NeurIPS 2016

Robotics

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Research as care: A reflection on incorporating the ethics of care in design research with people living with dementia
Long-Jing Hsu, Janice Bays, Manasi Swaminathan, Weslie Khoo, Hiroki Sato, Kyrie Jig Amon, Sathvika Dobbala, et al.
DIS 2025

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Bittersweet Snapshots of Life: Designing to Address Complex Emotions in a Reminiscence Interaction between Older Adults and a Robot
Long-Jing Hsu, Janice Bays, Manasi Swaminathan, Weslie Khoo, Hiroki Sato, Kyrie Jig Amon, Sathvika Dobbala, et al.
CHI 2025

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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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SePaint: Semantic Map Inpainting via Multinomial Diffusion
Zheng Chen, Deepak Duggirala, David J. Crandall, Lei Jiang, Lantao Liu
IROS 2024

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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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Uncovering Older Adult Needs: Applying User-Centered Research Methodologies to Inform Robotics Development and a Call to Action
Katherine M. Tsui, Sarah Cohen, Selma Sabanovic, Alex Alspach, Rune Baggett, David Crandall, Steffi Paepcke
HRI – A Multidiscplinary Overview 2024

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Working Together Toward ikigai: Co-Designing Robots That Can Help Us Achieve Meaning and Purpose in Life
Long-Jing Hsu, Waki Kamino, Weslie Khoo, Katherine Tsui, David J. Crandall, Selma Sabanovic
XRDS: Crossroads 2023

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Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation
Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu
RA-L 2023

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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

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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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Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation
Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu
IROS 2023

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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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Stepwise Goal-Driven Networks for Trajectory Prediction
Chuhua Wang, Yuchen Wang, Mingze Xu, David Crandall
RA-L 2022

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Interaction Graph for Object Importance Estimation in On-road Driving Videos
Zehua Zhang, Ashish Tawari, Sujitha Martin, David Crandall
ICRA 2020

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Embodied Visual Recognition: Learning to Move for Amodal Perception
Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David Crandall, Devi Parikh, Dhruv Batria
ICCV 2019

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Temporal Recurrent Networks for Online Action Detection
Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall
ICCV 2019

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Unsupervised Traffic Accident Detection in First-Person Videos
Yu Yao, Mingze Xu, Yuchen Wang, David Crandall, Ella Atkins
IROS 2019

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Automatic Annotation for Semantic Segmentation in Indoor Scenes
Md Alimoor Reza, Akshay Naik, Kai Chen, David Crandall
IROS 2019

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Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush
ICRA 2019

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Minimizing Supervision for Free-space Segmentation
Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David Crandall
CVPR Workshop on Autonomous Driving 2018

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Forecasting Hand Gestures for Human-Drone Interaction
Jangwon Lee, Haodan Tan, David Crandall, Selma Sabanovic
HRI 2018

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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

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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World Heritage in danger: Big data and remote sensing can help protect sites in conflict zones
Noam Levin, Saleem Ali, David Crandall, Salit Kark
Global Environmental Change 2019

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Tracking Natural Events through Social Media and Computer Vision
Jingya Wang, Mohammed Korayem, Saul Blanco, David Crandall
MM 2016

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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

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Where have all the people gone? Enhancing global conservation using night lights and social media
Noam Levin, Salit Kark, David Crandall
Ecological Applications 2015

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Multimodal Learning in Loosely-organized Web Images
Kun Duan, David Crandall, Dhruv Batra
CVPR 2014

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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

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Observing the natural world with Flickr
Jingya Wang, Mohammed Korayem, David Crandall
ICCV CVCP Workshop 2013

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Modeling people and places with internet photo collections
David Crandall, Noah Snavely
CACM 2012

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Mining Photo-sharing Websites to Study Ecological Phenomena
Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn
WWW 2012

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Networks of Landmarks, Photos, and People
David Crandall, Noah Snavely
Leonardo 2011

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Discrete-Continuous Optimization for Large-scale Structure from Motion
David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher
CVPR 2011

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Inferring Social Ties from Geographic Coincidences
David Crandall, Lars Backstrom, Daniel Cosley, Siddharth Suri, Daniel Huttenlocher, Jon Kleinberg
PNAS 2010

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Mapping the World's Photos
David Crandall, Lars Backstrom, Daniel Huttenlocher, Jon Kleinberg
WWW 2009

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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

3D and multimodal vision

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Geometric Constraints in Deep Learning Frameworks: A Survey
Vibhas Vats, David Crandall
ACM Computing Surveys 2025

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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

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Multi-resolution Guided 3D GANs for Medical Image Translation
Juhyung Ha, Jong Sung Park, David Crandall, Eleftherios Garyfallidis, Xuhong Zhang
WACV 2025

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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

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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
WACV 2024

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Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, Ruigang Yang
PAMI 2023

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VindLU: A recipe for Effective Video-and-Language Pretraining
Feng Cheng, Xizi Wang, Jie Lei, David Crandall, Mohit Bansal, Gedas Bertasius
CVPR 2023

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Error Diagnosis of Deep Monocular Depth Estimation Models
Jagpreet Chawla, Nikhil Shripad Thakurdesai, Anuj Balasaheb Godase, Md Alimoor Reza, David J. Crandall, Soon-Heung Jung
IROS 2021

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Automatic dense annotation for monocular 3d scene understanding
Md Alimoor Reza, Kai Chen, Akshay Naik, David J. Crandall, Soon-Heung Jung
IEEE Access 2020

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A Computational Model of Early Word Learning from the Infant's Point of View
Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza, David Crandall, Chen Yu
CogSci 2020

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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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Deepdiary: Lifelogging image captioning and summarization
Chenyou Fan, Zehua Zhang, David Crandall
Journal of Visual Communication and Image Representation 2018

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Diverse Beam Search for Improved Description of Complex Scenes
Ashwin Vijayakumar, Michael Cogswell, Ramprasaath Selvaraju, Qing Sun, Stefan Lee, David Crandall, Dhruv Batra
AAAI 2018

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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

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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

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PlaceRaider: Virtual Theft in Physical Spaces with Smartphones
Robert Templeman, Zahidur Rahman, David Crandall, Apu Kapadia
NDSS 2013

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Modeling people and places with internet photo collections
David Crandall, Noah Snavely
CACM 2012

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Discrete-Continuous Optimization for Large-scale Structure from Motion
David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher
CVPR 2011

Responsible AI and privacy

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Addressing the harms of AI-generated inauthentic content
Filippo Menczer, David Crandall, Yong-Yeol Ahn, Apu Kapadia
Nature Machine Intelligence 2023

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Semantically Stealthy Adversarial Attacks against Segmentation Models
Zhenhua Chen, Chuhua Wang, David Crandall
WACV 2022

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Privacy Norms and Preferences for Photos Posted Online
Roberto Hoyle, Luke Stark, Qatrunnada Ismail, David Crandall, Apu Kapadia, Denise Anthony
ACM Transactions on Computer-Human Interaction 2020

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Automatically Detecting Bystanders in Photos to Reduce Privacy Risks
Rakibul Hasan, David Crandall, Mario Fritz, Apu Kapadia
Oakland 2020

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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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Conveying Situational Information to People with Visual Impairments
Tousif Ahmed, Rakibul Hasan, Kay Connelly, David Crandall, Apu Kapadia
CHI Workshop on Situationally-Induced Impairments and Disabilities in Mobile Interaction 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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Cartooning for enhanced privacy in lifelogging and streaming video
Eman Hassan, Rakibul Hasan, Patrick Shaffer, David Crandall, Apu Kapadia
CVPR CV-COPS 2017 2017

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Addressing Physical Safety, Security, and Privacy for People with Visual Impairments
Tousif Ahmed, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia
SOUPS 2016

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Enhancing Lifelogging Privacy by Detecting Screens
Mohammed Korayem, Robert Templeman, Dennis Chen, David Crandall, Apu Kapadia
CHI 2016

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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

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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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Privacy Concerns and Behaviors of People with Visual Impairments
Tousif Ahmed, Roberto Hoyle, Kay Connelly, David Crandall, Apu Kapadia
CHI 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

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mFingerprint: Privacy-preserving user modeling with multimodal mobile device footprints
Haipeng Zhang, Zhixian Yan, Jun Yang, Emmanuel Munguia Tapia, David Crandall
SBP 2014

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PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces
Robert Templeman, Mohammed Korayem, David Crandall, Apu Kapadia
NDSS 2014

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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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PlaceRaider: Virtual Theft in Physical Spaces with Smartphones
Robert Templeman, Zahidur Rahman, David Crandall, Apu Kapadia
NDSS 2013

Science and Medicine

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Stable versus Temporally Sensitive Optical Security Tags from Metal Nanoparticles
Maha Ibrar, Megan Knobeloch, Nayana Christudas Beena, Yaroslav Losovyj, Sheng-Yuan Huang, Claire McCurtain, David Crandall, et al.
Nano Letters 2025

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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

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Multi-resolution Guided 3D GANs for Medical Image Translation
Juhyung Ha, Jong Sung Park, David Crandall, Eleftherios Garyfallidis, Xuhong Zhang
WACV 2025

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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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Modular Anti-counterfeit Tags Formed by Template-Assisted Self-Assembly of Plasmonic Nanocrystals and Authenticated by Machine Learning
Maha Ibrar, Sheng-Yuan Huang, Zachery McCurtain, Shujon Naha, David J. Crandall, Stephen C. Jacobson, Sara E. Skrabalak
Advanced Functional Materials 2024

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Social signals predict contemporary art prices better than visual features, particularly in emerging markets
Kangsan Lee, Jaehyuk Park, Sam Goree, David J. Crandall, Yong-Yeol Ahn
Scientific Reports 2024

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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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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

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Deep Tiered Image Segmentation for Detecting Internal Ice Layers in Radar Imagery
Yuchen Wang, Mingze Xu, John Paden, Lara Koenig, Geoffrey C. Fox, David J. Crandall
ICME 2021

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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

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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

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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

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World Heritage in danger: Big data and remote sensing can help protect sites in conflict zones
Noam Levin, Saleem Ali, David Crandall, Salit Kark
Global Environmental Change 2019

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A Framework for Estimating Sleep Timing from Digital Footprints
Bo-chiuan Chen, Dong-Chul Seo, Hsien-Chang Lin, David Crandall
BMJ Innovations 2018

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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

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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

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Automatic estimation of ice bottom surfaces from radar imagery
Mingze Xu, David J. Crandall, Geoffrey C. Fox, John D. Paden
ICIP 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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Analyzing figures of brain images from Alzheimer's Disease Papers
Satoshi Tsutsui, Guilin Meng, Xiaohui Yao, David Crandall, Ying Ding
iConference 2017

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Tracking Natural Events through Social Media and Computer Vision
Jingya Wang, Mohammed Korayem, Saul Blanco, David Crandall
MM 2016

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Where have all the people gone? Enhancing global conservation using night lights and social media
Noam Levin, Salit Kark, David Crandall
Ecological Applications 2015

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Observing the natural world with Flickr
Jingya Wang, Mohammed Korayem, David Crandall
ICCV CVCP Workshop 2013

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Automatic Near Surface Estimation from Snow Radar Imagery
Jerome E. Mitchell, David Crandall, Geoffrey Fox, John Paden
IGARSS 2013

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Layer-finding in radar echograms using probabilistic graphical models
David Crandall, Geoffrey Fox, John Paden
ICPR 2012

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Mining Photo-sharing Websites to Study Ecological Phenomena
Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn
WWW 2012

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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

Surveys and perspectives

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Geometric Constraints in Deep Learning Frameworks: A Survey
Vibhas Vats, David Crandall
ACM Computing Surveys 2025

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Transformer for Object Re-Identification: A Survey
Mang Ye, Shuoyi Chen, Chenyue Li, Wei-Shi Zheng, David Crandall, Bo Du
IJCV 2024

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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

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Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper
Sam Goree, Gabriel Appleby, David J. Crandall, Norman Su
CSCW 2024

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A Survey on Deep Learning Techniques for Video Segmentation
Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang
PAMI 2023

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Addressing the harms of AI-generated inauthentic content
Filippo Menczer, David Crandall, Yong-Yeol Ahn, Apu Kapadia
Nature Machine Intelligence 2023

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The Affective Growth of Computer Vision
Norman Su, David J. Crandall
CVPR 2021

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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

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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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Sentiment/Subjectivity Analysis Survey for Languages other than English
Mohammed Korayem, Khalifeh Aljadda, David Crandall
Social Network Analysis and Mining 2016

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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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From funding agencies to scientific agency: Collective allocation of science funding as an alternative to peer review
Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner
EMBO Reports 2014

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Modeling people and places with internet photo collections
David Crandall, Noah Snavely
CACM 2012

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Subjectivity and Sentiment Analysis of Arabic: A Survey
Mohammed Korayem, David Crandall, Muhammad Abdul-Mageed
AMLTA 2012

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Networks of Landmarks, Photos, and People
David Crandall, Noah Snavely
Leonardo 2011

Society and culture

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Social signals predict contemporary art prices better than visual features, particularly in emerging markets
Kangsan Lee, Jaehyuk Park, Sam Goree, David J. Crandall, Yong-Yeol Ahn
Scientific Reports 2024

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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

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Investigating the Homogenization of Web Design: A Mixed-Methods Approach
Sam Goree, Bardia Doosti, David J. Crandall, Norman Su
CHI 2021

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Studying Empirical Color Harmony in Design
Sam Goree, David Crandall
CVPR Workshop on Computer Vision for Fashion, Art, and Design 2020

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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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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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A deep study into the history of web design
Bardia Doosti, David J. Crandall, Norman Makoto Su
WebSci 2017

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Linking past to present: Discovering style in two centuries of architecture
Stefan Lee, Nicolas Maisonneuve, David Crandall, Alexei Efros, Josef Sivic
ICCP 2015

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Networks of Landmarks, Photos, and People
David Crandall, Noah Snavely
Leonardo 2011

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Inferring Social Ties from Geographic Coincidences
David Crandall, Lars Backstrom, Daniel Cosley, Siddharth Suri, Daniel Huttenlocher, Jon Kleinberg
PNAS 2010

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Mapping the World's Photos
David Crandall, Lars Backstrom, Daniel Huttenlocher, Jon Kleinberg
WWW 2009