2021
Joshua Smith, Md Alimoor Reza, Nathanael Smith, Jianxin Gu, Maha Ibrar, David Crandall, Sara Skrabalak, "Plasmonic Anti-counterfeit Tags with High Encoding Capacity Rapidly Authenticated with Deep Machine Learning,"
ACS Nano,
2021.
(impact factor = 14.588, accepted, to appear)
[bibtek]
Norman Su, David Crandall, "The Affective Growth of Computer Vision ,"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2021.
[PDF] [bibtek]
Yayun Zhang, Andrei Amatuni, Ellis Cain, Xizi Wang, David Crandall, Chen Yu, "Statistical learning of verb meaning,"
Annual Conference of the Cognitive Science Society (CogSci),
2021.
[bibtek]
Ryan Peters, Andrei Amatuni, Sara Schroer, Shujon Naha, David Crandall, Chen Yu, "Are you with me? Modeling joint attention from egocentric vision,"
Annual Conference of the Cognitive Science Society (CogSci),
2021.
[bibtek]
Andrei Amatuni, Sara Schroer, Ryan Peters, Md Alimoor Reza, Yayun Zhang, David Crandall, Chen Yu, "In-the-Moment Visual Information Determines Learning,"
Annual Conference of the Cognitive Science Society (CogSci),
2021.
[bibtek]
Yuchen Wang, Mingze Xu, John Paden, Lara Koenig, Geoffrey Fox, David Crandall, "Deep Tiered Image Segmentation for Detecting Internal Ice Layers in Radar Imagery,"
ICME,
2021.
[bibtek]
Sam Goree, Bardia Doosti, David Crandall, Norman Su, "Investigating the Homogenization of Web Design: A Mixed-Methods Approach ,"
ACM CHI Conference on Human Factors in Computing Systems (CHI),
2021.
(Oral, 26% acceptance rate)
[PDF] [bibtek]
Satoshi Tsutsui, Yanwei Fu, David Crandall, "Whose hand is this? Person Identification from Egocentric Hand Gestures ,"
IEEE Winter Conference on Applications of Computer Vision (WACV),
2021.
[PDF] [bibtek]
Shujon Naha, Qingyang Xiao, Prianka Banik, Md Alimoor Reza, David Crandall, "Part Segmentation of Unseen Objects Using Keypoint Guidance ,"
IEEE Winter Conference on Applications of Computer Vision (WACV),
2021.
[PDF] [bibtek]
Chia-Fang Chung, Alejandra Ramos, Pei-Ni Chiang, Chien-Chun Wu, Connie Anne Tan, Weslie Khoo, David Crandall, "Computer Vision for Dietary Assessment,"
CHI Workshop on Realizing AI in Healthcare: Challenges Appearing in the Wild,
2021.
[bibtek]
David Leake, Xiaomeng Ye, David Crandall, "Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation ,"
AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE),
2021.
[PDF] [bibtek]
2020
Zehua Zhang, Ashish Tawari, Sujitha Martin, David Crandall, "Interaction Graph for Object Importance Estimation in On-road Driving Videos ,"
IEEE Conference on Robotics and Automation (ICRA),
2020.
(Oral, 42% acceptance rate)
[PDF] [bibtek]
Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven Hoi, "Learning Video Object Segmentation from Unlabeled Videos ,"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2020.
(Poster, 22.1% acceptance rate)
[PDF] [bibtek]
Bardia Doosti, Shujon Naha, Majid Mirbagheri, David Crandall, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation ,"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2020.
(Poster, 22.1% acceptance rate)
[PDF] [bibtek] [Project page]
Rakibul Hasan, David Crandall, Mario Fritz, Apu Kapadia, "Automatically Detecting Bystanders in Photos to Reduce
Privacy Risks ,"
IEEE Security and Privacy (Oakland),
2020.
[PDF] [bibtek]
Mang Ye, Jianbing Shen, David Crandall, Ling Shao, Jiebo Luo, "Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification,"
European Conference on Computer Vision (ECCV),
2020.
(27% acceptance rate)
[bibtek]
Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza, David Crandall, Chen Yu, "A Computational Model of Early Word Learning from the Infant's Point of View ,"
Annual Conference of the Cognitive Science Society (CogSci),
2020.
(Oral, 22% acceptance rate)
[PDF] [bibtek]
Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo, "Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks,"
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),
2020.
(impact factor = 17.861, accepted, to appear)
[bibtek]
Shujon Naha, Md Alimoor Reza, Chen Yu, David Crandall, "Localizing novel attended objects in egocentric views ,"
British Machine Vision Conference (BMVC),
2020.
(Poster, 29.1% acceptance rate)
[PDF] [bibtek]
Roberto Hoyle, Luke Stark, Qatrunnada Ismail, David Crandall, Apu Kapadia, Denise Anthony, "Privacy Norms and Preferences for Photos Posted Online ,"
ACM Transactions on Computer-Human Interaction,
2020.
(impact factor = 2.227)
[PDF] [bibtek]
Lei Yuan, Violet Xiang, David Crandall, Linda Smith, "Learning the generative principles of a symbol system from limited examples ,"
Cognition,
2020.
(impact factor = 3.537)
[PDF] [bibtek]
David Leake, David Crandall, "Bringing Case Based Reasoning to Deep Learning ,"
International Conference on Case-Based Reasoning Special Track on Challenges and Promises,
2020.
[PDF] [bibtek]
Sam Goree, David Crandall, "Studying Empirical Color Harmony in Design ,"
IEEE Conference on Computer Vision and Pattern Recognition Workshop on Computer Vision for Fashion, Art, and Design,
2020.
[PDF] [bibtek]
Xiaomeng Ye, David Leake, William Huibregtse, Mehmet Dalkilic, "Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases ,"
International Conference on Case-Based Reasoning,
2020.
[PDF] [bibtek]
Sam Goree, Bardia Doosti, David Crandall, Norman Su, "Yes, websites really are starting to look more similar ,"
The Conversation,
2020.
[PDF] [bibtek]
Md Alimoor Reza, Kai Chen, Akshay Naik, David Crandall, Soon-Heung Jung, "Automatic dense annotation for monocular 3d scene understanding ,"
IEEE Access,
2020.
(impact factor = 4.098)
[PDF] [bibtek]
Md Alimoor Reza, Zhenhua Chen, David Crandall, "Deep Neural Network-based Detection and Verification of Microelectronic Images ,"
Journal of Hardware and Systems Security,
2020.
[PDF] [bibtek]
Shujon Naha, Qingyang Xiao, Prianka Banik, Md Alimoor Reza, David Crandall, "Pose-guided knowledge transfer for object part segmentation ,"
IEEE Conference on Computer Vision and Pattern Recognition Workshop on Visual Learning with Limited Labels,
2020.
[PDF] [bibtek]
Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar, David Crandall, Masoud Yari, "Snow Radar Layer Tracking using an Iterative Neural Network Approach,"
IEEE International Geoscience and Remote Sensing Symposium,
2020.
[bibtek]
2019
Victor Berger, Mingze Xu, Mohanad Al-Ibadi, Shane Chu, David Crandall, John Paden, Geoffrey Fox, "Automated Ice-Bottom Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S ,"
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
2019.
(impact factor = 3.392)
[PDF] [bibtek]
Noam Levin, Saleem Ali, David Crandall, Salit Kark, "World Heritage in danger: Big data and remote sensing can help protect sites in conflict zones,"
Global Environmental Change,
2019.
(impact factor = 6.371)
[bibtek]
Satoshi Tsutsui, Yanwei Fu, David Crandall, "Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition ,"
Advances in Neural Information Processing Systems (NeurIPS),
2019.
(Poster, 21.6% acceptance rate)
[PDF] [bibtek] [Project page]
Yu Yao, Mingze Xu, Chiho Choi, David Crandall, Ella Atkins, Behzad Dariush, "Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems ,"
IEEE Conference on Robotics and Automation (ICRA),
2019.
(Oral, 44% acceptance rate)
[PDF] [bibtek]
Zehua Zhang, Chen Yu, David Crandall, "A Self Validation Network for Object-Level Human Attention Estimation ,"
Advances in Neural Information Processing Systems (NeurIPS),
2019.
(Poster, 21.6% acceptance rate)
[PDF] [bibtek] [Project page]
Rakibul Hasan, Yifang Li, Eman Hassan, Kelly Caine, David Crandall, Roberto Hoyle, Apu Kapadia, "Can Privacy Be Satisfying? On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms ,"
ACM CHI Conference on Human Factors in Computing Systems (CHI),
2019.
(Oral, 23.8% acceptance rate)
[PDF] [bibtek]
Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David Crandall, Devi Parikh, Dhruv Batria, "Embodied Visual Recognition: Learning to Move for Amodal Perception ,"
IEEE International Conference on Computer Vision (ICCV),
2019.
(Poster, 25.0% acceptance rate)
[PDF] [bibtek]
Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David Crandall, "Temporal Recurrent Networks for Online Action Detection ,"
IEEE International Conference on Computer Vision (ICCV),
2019.
(Poster, 25.0% acceptance rate)
[PDF] [bibtek]
Wenguan Wang, Xiankai Lu, Jianbing Shen, David Crandall, Ling Shao, "Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks ,"
IEEE International Conference on Computer Vision (ICCV),
2019.
(Oral, 25.0% acceptance rate)
[PDF] [bibtek]
Yu Yao, Mingze Xu, Yuchen Wang, David Crandall, Ella Atkins, "Unsupervised Traffic Accident Detection in First-Person Videos ,"
IEEE International Conference on Intelligent Robots and Systems (IROS),
2019.
(Oral, 45.0% acceptance rate)
[PDF] [bibtek]
Md Alimoor Reza, Akshay Naik, Kai Chen, David Crandall, "Automatic Annotation for Semantic Segmentation in Indoor Scenes ,"
IEEE International Conference on Intelligent Robots and Systems (IROS),
2019.
(Oral, 45.0% acceptance rate)
[PDF] [bibtek]
Jangwon Lee, Bardia Doosti, Yupeng Gu, David Cartledge, David Crandall, Christopher Raphael, "Observing Pianist Accuracy and Form with Computer Vision ,"
IEEE Winter Conference on Applications of Computer Vision (WACV),
2019.
(Poster+Oral, 39% acceptance rate)
[PDF] [bibtek]
Suzanne Menzel, Katie Siek, David Crandall, "Hello Research! Developing an Intensive Research Experience for Undergraduate Women ,"
ACM Technical Symposium on Computer Science Education (SIGCSE),
2019.
(Oral, 34% acceptance rate)
[PDF] [bibtek] [Project page]
Hadar Karmazyn Raz, Drew Abney, David Crandall, Chen Yu, Linda Smith, "How do infants start learning object names in a sea of clutter? ,"
Annual Conference of the Cognitive Science Society (CogSci),
2019.
[PDF] [bibtek]
Jeremy Borjon, Sara Schroer, Sven Bambach, Lauren Slone, Drew Abney, David Crandall, Linda Smith, "A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras,"
Journal of Visualized Experiments,
2019.
(impact factor = 1.325)
[bibtek]
Katie Spoon, David Crandall, Katie Siek, "Towards Detecting Dyslexia in Children's Handwriting Using Neural Networks ,"
ICML Workshop on AI for Social Good,
2019.
Best poster award.
[PDF] [bibtek] [Project page]
Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza, David Crandall, Chen Yu, "Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study ,"
IEEE CVPR Workshop on Egocentric Perception, Interaction, and Computing (EPIC),
2019.
[PDF] [bibtek]
Zhenhua Chen, Chuhua Wang, Tiancong Zhao, David Crandall, "Generalized Capsule Networks with Trainable Routing Procedure ,"
International Conference on Machine Learning Workshop on Generalization,
2019.
[PDF] [bibtek]
Tousif Ahmed, Rakibul Hasan, Kay Connelly, David Crandall, Apu Kapadia, "Conveying Situational Information to People with Visual Impairments ,"
CHI Workshop on Addressing the Challenges of Situationally-Induced Impairments and Disabilities in Mobile Interaction,
2019.
[PDF] [bibtek]
David Crandall, "Artificial Intelligence and Manufacturing ,"
Smart Factories: Issues of Information Governance,
2019.
[PDF] [bibtek]
Geoffrey Fox, Judy Qiu, David Crandall, Gregor Von Laszewski, Oliver Beckstein, John Paden, Ioannis Paraskevakos, Shantenu Jha, Fusheng Wang, Madhav Marathe, Anil Vullikanti, Thomas Cheatham, "Contributions to High-Performance Big Data Computing ,"
Future Trends of HPC in a Disruptive Scenario,
2019.
[PDF] [bibtek]
Aniruddha Godbole, David Crandall, "Empowering Borrowers in their Choice of Lenders: Decoding Service Quality from Customer Complaints ,"
ACM International Web Science Conference (WebSci),
2019.
(Oral, 34.2% acceptance rate)
[PDF] [bibtek]
2018
Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, David Crandall, "Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos ,"
European Conference on Computer Vision (ECCV),
2018.
(Poster)
[PDF] [bibtek] [Project page]
Rakibul Hasan, Eman Hassan, Yifang Li, Kelly Caine, David Crandall, Roberto Hoyle, Apu Kapadia, "Viewer Experience of Obscuring Scene Elements in Photos to Enhance Privacy ,"
ACM CHI Conference on Human Factors in Computing Systems (CHI),
2018.
(Oral, 25.7% acceptance rate)
[PDF] [bibtek]
Ashwin Vijayakumar, Michael Cogswell, Ramprasaath Selvaraju, Qing Sun, Stefan Lee, David Crandall, Dhruv Batra, "Diverse Beam Search for Improved Description of Complex Scenes ,"
AAAI Conference on Artificial Intelligence,
2018.
(Poster, 24.6% acceptance rate)
[PDF] [bibtek]
Sven Bambach, David Crandall, Linda Smith, Chen Yu, "Toddler-Inspired Visual Object Learning ,"
Advances in Neural Information Processing Systems (NeurIPS),
2018.
(Poster, 20.8% acceptance rate)
[PDF] [bibtek]
Satoshi Tsutsui, Sven Bambach, David Crandall, Chen Yu, "Estimating Head Motion from Egocentric Vision ,"
ACM International Conference on Multimodal Interaction (ICMI),
2018.
[PDF] [bibtek]
Zehua Zhang, Sven Bambach, David Crandall, Chen Yu, "From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video ,"
British Machine Vision Conference (BMVC),
2018.
(Oral, 4.3% acceptance rate)
[PDF] [bibtek] [Project page]
Chenyou Fan, Zehua Zhang, David Crandall, "Deepdiary: Lifelogging image captioning and summarization,"
Journal of Visual Communication and Image Representation,
2018.
(impact factor = 2.164)
[bibtek] [Project page]
Mingze Xu, Aidean Sharghi, Xin Chen, David Crandall, " Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition ,"
IEEE Winter Conference on Applications of Computer Vision (WACV),
2018.
(40% acceptance rate)
[PDF] [bibtek]
Mingze Xu, Chenyou Fan, John Paden, Geoffrey Fox, David Crandall, "Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction ,"
IEEE Winter Conference on Applications of Computer Vision (WACV),
2018.
(40% acceptance rate)
[PDF] [bibtek]
Noam Levin, Saleem Ali, David Crandall, "Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study ,"
Applied Geography,
2018.
(impact factor = 2.56)
[PDF] [bibtek]
Bo-chiuan Chen, Dong-Chul Seo, Hsien-Chang Lin, David Crandall, "A Framework for Estimating Sleep Timing from Digital Footprints,"
BMJ Innovations,
2018.
(impact factor = 2.899)
[bibtek]
Mohanad Al-Ibadi, Jordan Sprick, Sravya Athinarapu, Victor Berger, Theresa Stumpf, John Paden, Carl Leuschen, Fernando Rodriguez, Mingze Xu, David Crandall, Geoffrey Fox, David Burgess, Martin Sharp, Luke Copland, Wesley Van Wychen, "Crossover Analysis and Automated Layer-Tracking Assessment of the Extracted DEM of the Basal Topography of the Canadian Arctic Archipelago Ice-Cap ,"
IEEE Radar Conference,
2018.
[PDF] [bibtek]
Victor Berger, Mingze Xu, David Crandall, John Paden, Geoffrey Fox, "Automated Tracking of 2d and 3d Ice Radar Imagery using Viterbi and TRW-S,"
IEEE International Geoscience and Remote Sensing Symposium,
2018.
[bibtek]
Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David Crandall, "Minimizing Supervision for Free-space Segmentation ,"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Autonomous Driving (WAD),
2018.
[PDF] [bibtek]
Jangwon Lee, Haodan Tan, David Crandall, Selma SÌŒabanoivc, "Forecasting Hand Gestures for Human-Drone Interaction ,"
ACM/IEEE International Conference on Human Robot Interaction (HRI),
2018.
(Late-breaking Report)
[PDF] [bibtek]
2017
Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David Crandall, Michael Ryoo, "Identifying first-person camera wearers in third-person videos ,"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2017.
(Poster, 29.0% acceptance rate)
[PDF] [bibtek] [Project page]
Wen Chen, David Crandall, Norman Su, "Understanding the Aesthetic Evolution of Websites: Towards a Notion of Design Periods ,"
ACM CHI Conference on Human Factors in Computing Systems (CHI),
2017.
(Oral, 25.0% acceptance rate)
[PDF] [bibtek]
Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia, "Understanding the Physical Safety, Security, and Privacy Concerns of People with Visual Impairments,"
IEEE Internet Computing,
2017.
(impact factor = 2.0)
[bibtek]
Scott Workman, Menghua Zhai, David Crandall, Nathan Jacobs, "A unified model for near and remote sensing ,"
IEEE International Conference on Computer Vision (ICCV),
2017.
(Poster, 28% acceptance rate)
[PDF] [bibtek] [Project page]
Mingze Xu, David Crandall, Geoffrey Fox, John Paden, "Automatic estimation of ice bottom surfaces from radar imagery ,"
IEEE International Conference on Image Processing (ICIP),
2017.
(Oral, 45.0% acceptance rate)
[PDF] [bibtek]
Sven Bambach, David Crandall, Linda Smith, Chen Yu, "An Egocentric Perspective on Active Vision and Visual Object Learning in Toddlers ,"
IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL),
2017.
(Oral, 37.1% acceptance rate)
[PDF] [bibtek]
Bardia Doosti, David Crandall, Norman Makoto Su, "A deep study into the history of web design ,"
ACM International Web Science Conference (WebSci),
2017.
(Oral, 35.3% acceptance rate)
[PDF] [bibtek] [Project page]
Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner, "An efficient system to fund science: from proposal review to peer-to-peer distributions,"
Scientometrics,
2017.
(impact factor = 2.084)
[bibtek]
Eman Hassan, Rakibul Hasan, Patrick Shaffer, David Crandall, Apu Kapadia, "Cartooning for enhanced privacy in lifelogging and streaming video ,"
IEEE Conference on Computer Vision and Pattern Recognition Workshop on Computer Vision Challenges and Opportunities for Privacy and Security (CVPR CV-COPS),
2017.
[PDF] [bibtek]
Satoshi Tsutsui, David Crandall, "A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks ,"
IAPR International Conference on Document Analysis and Recognition (ICDAR),
2017.
[PDF] [bibtek] [Project page]
Sven Bambach, Zehua Zhang, David Crandall, Chen Yu, "Exploring inter-observer differences in first-person object views using deep learning models ,"
IEEE International Conference on Computer Vision Workshop on Mutual Benefits of Cognitive and Computer Vision,
2017.
[PDF] [bibtek]
Zhenhua Chen, Tingyi Wanyan, Ramya Rao, Benjamin Cutilli, James Sowinski, David Crandall, Robert Templeman, "Addressing supply chain risks of microelectronic devices through computer vision ,"
IEEE Applied Imagery Pattern Recognition Workshop (AIPR),
2017.
[PDF] [bibtek]
Jangwon Lee, Jingya Wang, David Crandall, Selma Sabanovic, Geoffrey Fox, "Real-Time, Cloud-based Object Detection for Unmanned Aerial Vehicles ,"
IEEE Robotic Computing,
2017.
(Oral)
[PDF] [bibtek]
Mohanad Al-Ibadi, Jordan Sprick, Sravya Athinarapu, Theresa Stumpf, John Paden, Carl Leuschen, Fernando Rodriguez, Mingze Xu, David Crandall, Geoffrey Fox, David Burgess, Martin Sharp, Luke Copland, Wesley Van Wychen, "DEM Extraction of the Basal Topography of the Canadian Archipelago Ice Caps via 2d automated layer-tracking ,"
IEEE International Geoscience and Remote Sensing Symposium,
2017.
(Oral)
[PDF] [bibtek]
Satoshi Tsutsui, Guilin Meng, Xiaohui Yao, David Crandall, Ying Ding, "Analyzing figures of brain images from Alzheimer's Disease Papers ,"
iConference,
2017.
[PDF] [bibtek]
2016
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David Crandall, Dhruv Batra, "Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles ,"
Advances in Neural Information Processing Systems (NeurIPS),
2016.
(Poster, 22.7% acceptance rate)
[PDF] [bibtek]
Mohammed Korayem, Robert Templeman, Dennis Chen, David Crandall, Apu Kapadia, "Enhancing Lifelogging Privacy by Detecting Screens ,"
ACM CHI Conference on Human Factors in Computing Systems (CHI),
2016.
Honorable Mention Award. (CHI Note, 23.4% acceptance rate)
Honorable Mention Award! [PDF] [bibtek] [Project page]
David Crandall, Yunpeng Li, Stefan Lee, Daniel Huttenlocher, "Recognizing landmarks in large-scale social image collections ,"
Visual Analysis and Geolocalization of Large Scale Imagery,
2016.
[PDF] [bibtek]
Mohammed Korayem, Khalifeh Aljadda, David Crandall, "Sentiment/Subjectivity Analysis Survey for Languages other than English,"
Social Network Analysis and Mining,
2016.
[bibtek]
Noam Levin, David Crandall, Salit Kark, "Scale matters: differences between local, regional, and global analyses (letter to the editor),"
Ecological Applications,
2016.
(impact factor = 4.126)
[bibtek]
Sven Bambach, David Crandall, Linda Smith, Chen Yu, "Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach ,"
Annual Conference of the Cognitive Science Society (CogSci),
2016.
(Oral, 34% acceptance rate)
[PDF] [bibtek]
Tousif Ahmed, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia, "Addressing Physical Safety, Security, and Privacy for People with Visual Impairments ,"
USENIX Symposium on Usable Privacy and Security (SOUPS),
2016.
(Oral, 27.8% acceptance rate)
[PDF] [bibtek]
Chenyou Fan, David Crandall, "DeepDiary: Automatically Captioning Lifelogging Image Streams ,"
European Conference on Computer Vision International Workshop on Egocentric Perception, Interaction, and Computing (EPIC),
2016.
[PDF] [bibtek] [Project page]
Sven Bambach, Linda Smith, David Crandall, Chen Yu, "Objects in the Center: How the Infant's Body Constrains Infant Scenes ,"
IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL),
2016.
Best paper award. (Oral, 33.7% acceptance rate)
Best paper award! [PDF] [bibtek]
Jingya Wang, Mohammed Korayem, Saul Blanco, David Crandall, "Tracking Natural Events through Social Media and Computer Vision ,"
ACM International Conference on Multimedia (MM),
2016.
[PDF] [bibtek] [Project page]
Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia, "Considering Privacy Implications of Assistive Devices for People with Visual Impairments,"
CHI Workshop on Interactive Systems in Healthcare (WISH),
2016.
[bibtek]
Kathy Tang, David Crandall, "Applying Deep Learning to Improve Maritime Situational Awareness,"
ACM International Conference on Knowledge Discovery and Data Mining Workshop on Large-scale Deep Learning for Data Mining,
2016.
[bibtek]
Sven Bambach, "Analyzing Hands with First-Person Computer Vision ,"
Indiana University, 2016.
(Ph.D. Dissertation)
[PDF] [bibtek]
Stefan Lee, "Data-driven Computer Vision for Science and the Humanities,"
Indiana University, 2016.
(Ph.D. Dissertation)
[bibtek]
Sumit Gupta, "Evaluation of Convolutional Neural Networks for Infrared, Fine-grained Recognition, and Ego-centric Scene Classification,"
Indiana University, 2016.
(M.S. Thesis)
[bibtek]
Manu Singh, "Tag selection and propagation for large-scale visual landmark recognition,"
Indiana University, 2016.
(M.S. Thesis)
[bibtek]
2015
Noam Levin, Salit Kark, David Crandall, "Where have all the people gone? Enhancing global conservation using night lights and social media ,"
Ecological Applications,
2015.
(impact factor = 4.126)
[PDF] [bibtek]
Kun Duan, Dhruv Batra, David Crandall, "Human pose estimation through composite multi-layer models ,"
Signal Processing,
2015.
(impact factor = 2.238)
[PDF] [bibtek] [Project page]
Sven Bambach, Stefan Lee, David Crandall, Chen Yu, "Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions ,"
IEEE International Conference on Computer Vision (ICCV),
2015.
(Poster, 30.3% acceptance rate)
[PDF] [bibtek] [Project page]
Sven Bambach, David Crandall, Chen Yu, "Viewpoint Integration for Hand-Based Recognition of Social Interactions from a First-Person View ,"
ACM International Conference on Multimodal Interaction (ICMI),
2015.
(Poster, 41% acceptance rate)
[PDF] [bibtek]
Stefan Lee, Nicolas Maisonneuve, David Crandall, Alexei Efros, Josef Sivic, "Linking past to present: Discovering style in two centuries of architecture ,"
IEEE International Conference on Computational Photography (ICCP),
2015.
(Oral, 24% acceptance rate)
[PDF] [bibtek] [Project page]
Tousif Ahmed, Roberto Hoyle, Kay Connelly, David Crandall, Apu Kapadia, "Privacy Concerns and Behaviors of People with Visual Impairments ,"
ACM CHI Conference on Human Factors in Computing Systems (CHI),
2015.
(Full paper, 23% acceptance rate)
[PDF] [bibtek]
Stefan Lee, Haipeng Zhang, David Crandall, "Predicting Geo-informative Attributes in Large-scale Image Collections using Convolutional Neural Networks ,"
IEEE Winter Conference on Applications of Computer Vision (WACV),
2015.
(Oral and poster, 36.7% acceptance rate)
[PDF] [bibtek] [Project page]
Roberto Hoyle, Robert Templeman, Denise Anthony, David Crandall, Apu Kapadia, "Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras ,"
ACM CHI Conference on Human Factors in Computing Systems (CHI),
2015.
(CHI Note)
[PDF] [bibtek]
Supun Kamburugamuve, Hengjing He, Geoffrey Fox, David Crandall, "Cloud-based parallel implementation of SLAM for mobile robots,"
International Supercomputing Conference (ISC) Cloud & Big Data Conference,
2015.
[bibtek]
Roberto Hoyle, Apu Kapadia, David Crandall, "Challenges in Running Wearable Camera-Related User Studies,"
ACM Conference on Computer-Supported Cooperative Work and Social Computing Workshop on The Future of Networked Privacy: Challenges and Opportunities,
2015.
[bibtek]
Mohammed Korayem, "Social and Egocentric Image Classification for Scientific and Privacy Applications ,"
Indiana University, 2015.
(Ph.D. Dissertation)
[PDF] [bibtek]
Devendra Dhami, "Morphological Classification of Galaxies into Spirals and Non-Sprirals,"
Indiana University, 2015.
(M.S. Thesis)
[bibtek]
Harsh Seth, "Automated Answering Apps for People with Visual Impairments using Google Glass,"
Indiana University, 2015.
(M.S. Thesis)
[bibtek]
2014
Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner, "Response: ``Why we still need grant peer review'',"
EMBO Reports,
2014.
(impact factor = 7.189)
[bibtek]
Kun Duan, David Crandall, Dhruv Batra, "Multimodal Learning in Loosely-organized Web Images ,"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2014.
(Poster, 29.9% acceptance rate)
[PDF] [bibtek]
Robert Templeman, Mohammed Korayem, David Crandall, Apu Kapadia, "PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces ,"
Network and Distributed System Security Symposium (NDSS),
2014.
(Oral, 18.6% acceptance rate)
[PDF] [bibtek]
Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner, "From funding agencies to scientific agency: Collective allocation of science funding as an alternative to peer review ,"
EMBO Reports,
2014.
(impact factor = 7.189)
[PDF] [bibtek]
Stefan Lee, Jerome Mitchell, David Crandall, Geoffrey Fox, "Estimating Bedrock and Surface Layer Boundaries and Confidence Intervals in Ice Sheet Radar Imagery using MCMC ,"
IEEE International Conference on Image Processing (ICIP),
2014.
(Oral, 44% acceptance rate)
[PDF] [bibtek] [Project page]
Roberto Hoyle, Robert Templeman, Steven Armes, Denise Anthony, David Crandall, Apu Kapadia, "Privacy Behaviors of Lifeloggers using Wearable Cameras ,"
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp),
2014.
(Oral, 20.7% acceptance rate)
[PDF] [bibtek]
Sven Bambach, John Franchak, David Crandall, Chen Yu, "Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction ,"
Annual Conference of the Cognitive Science Society (CogSci),
2014.
(Oral, 41.0% acceptance rate)
[PDF] [bibtek]
Kun Duan, Luca Marchesotti, David Crandall, "Vehicle Recognition with Constrained Multiple Instance SVMs ,"
IEEE Winter Conference on Applications of Computer Vision (WACV),
2014.
(Oral and poster, 40% acceptance rate)
[PDF] [bibtek]
Stefan Lee, Sven Bambach, David Crandall, John Franchak, Chen Yu, "This Hand is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video ,"
IEEE Conference on Computer Vision and Pattern Recognition Workshop on Egocentric Vision,
2014.
Best paper award winner. (Oral)
Best paper award! [PDF] [bibtek]
Haipeng Zhang, Zhixian Yan, Jun Yang, Emmanuel Munguia Tapia, David Crandall, "mFingerprint: Privacy-preserving user modeling with multimodal mobile device footprints ,"
International Conference on Social Computing, Behavior-Cultural Modeling, & Prediction (SBP),
2014.
(Oral, 24% acceptance rate)
[PDF] [bibtek]
Robert Templeman, Roberto Hoyle, David Crandall, Apu Kapadia, "Reactive Security: Responding to Visual Stimuli from Wearable Cameras ,"
Ubicomp Workshop on Usable Privacy and Security for Wearable and Domestic Ubiquitous Devices (UPSIDE),
2014.
[PDF] [bibtek]
Haipeng Zhang, "Analyzing the dynamics between the user-sensed data and the real world ,"
Indiana University, 2014.
(Ph.D. Dissertation)
[PDF] [bibtek]
Kun Duan, "Conditional random field models for structured visual object recognition,"
Indiana University, 2014.
(Ph.D. Dissertation)
[bibtek]
2013
David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher, "SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion ,"
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),
2013.
(impact factor = 4.795)
[PDF] [bibtek] [Project page]
Robert Templeman, Zahidur Rahman, David Crandall, Apu Kapadia, "PlaceRaider: Virtual Theft in Physical Spaces with Smartphones ,"
Network and Distributed System Security Symposium (NDSS),
2013.
(Oral, 18% acceptance rate)
[PDF] [bibtek] [Project page]
Sven Bambach, David Crandall, Chen Yu, "Understanding Embodied Visual Attention in Child-Parent Interaction ,"
IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL),
2013.
(Oral, 33% acceptance rate)
[PDF] [bibtek]
Mohammed Korayem, David Crandall, "De-anonymizing users across heterogeneous social computing platforms ,"
AAAI International Conference on Weblogs and Social Media (ICWSM),
2013.
(Poster)
[PDF] [bibtek]
Haipeng Zhang, Nish Parikh, Gyanit Singh, Neel Sundaresan, "Chelsea Won, and You Bought a T-shirt: Characterizing the Interplay Between Twitter and E-Commerce ,"
ASONAM,
2013.
Best paper award! [PDF] [bibtek]
Jerome Mitchell, David Crandall, Geoffrey Fox, Maryam Rahnemoonfar, John Paden, "A Semi-Automatic Approach for Estimating Bedrock and Surface Layers from Multichannel Coherent Radar Depth Sounder Imagery,"
SPIE Conference on Remote Sensing,
2013.
(Oral)
[bibtek]
Jingya Wang, Mohammed Korayem, David Crandall, "Observing the natural world with Flickr ,"
International Conference on Computer Vision Workshop on Computer Vision for Converging Perspectives,
2013.
Best paper award winner. (Oral)
Best paper award! [PDF] [bibtek]
Jerome Mitchell, David Crandall, Geoffrey Fox, John Paden, "Automatic Near Surface Estimation from Snow Radar Imagery ,"
IEEE International Geoscience and Remote Sensing Symposium,
2013.
(Oral)
[PDF] [bibtek]
2012
David Crandall, Noah Snavely, "Modeling people and places with internet photo collections ,"
Communications of the ACM (CACM),
2012.
(impact factor = 2.51) Also appeared in ACM Queue magazine
[PDF] [bibtek]
Kun Duan, Devi Parikh, David Crandall, Kristen Grauman, "Discovering Localized Attributes for Fine-grained Recognition ,"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2012.
(Poster, 26% acceptance rate)
[PDF] [bibtek] [Project page]
Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn, "Mining Photo-sharing Websites to Study Ecological Phenomena ,"
International World Wide Web Conference (WWW),
2012.
(Oral, 12% acceptance rate)
[PDF] [bibtek] [Project page]
Kun Duan, Dhruv Batra, David Crandall, "A Multi-layer Composite Model for Human Pose Estimation ,"
British Machine Vision Conference (BMVC),
2012.
(Poster, 32% acceptance rate)
[PDF] [bibtek]
David Crandall, Geoffrey Fox, John Paden, "Layer-finding in radar echograms using probabilistic graphical models ,"
IAPR International Conference on Pattern Recognition (ICPR),
2012.
(Oral, 15% acceptance rate)
[PDF] [bibtek] [Project page]
Haipeng Zhang, Mohammed Korayem, Erkang You, David Crandall, "Beyond Co-occurrence: Discovering and Visualizing Tag Relationships from Geo-spatial and Temporal Similarities ,"
ACM International Conference on Web Search and Data Mining (WSDM),
2012.
(Oral, 8.3% acceptance rate)
[PDF] [bibtek] [Project page]
Mohammed Korayem, Abdallah Mohamed, David Crandall, Roman Yampolskiy, "Learning visual features for the Avatar Captcha Recognition Challenge ,"
International Conference on Machine Learning Applications,
2012.
[PDF] [bibtek]
Mohammed Korayem, Abdallah Mohamed, David Crandall, Roman Yampolskiy, "Solving Avatar Captchas automatically ,"
International Conference on Advanced Machine Learning Technologies and Applications,
2012.
(Oral)
[PDF] [bibtek]
Mohammed Korayem, David Crandall, Muhammad Abdul-Mageed, "Subjectivity and Sentiment Analysis of Arabic: A Survey ,"
International Conference on Advanced Machine Learning Technologies and Applications,
2012.
(Poster)
[PDF] [bibtek]
2011
David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher, "Discrete-Continuous Optimization for Large-scale Structure from Motion ,"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2011.
Best paper runner-up. (Oral, 3.5% acceptance rate)
Best paper runner-up! [PDF] [bibtek] [Project page]
David Crandall, Noah Snavely, "Networks of Landmarks, Photos, and People ,"
Leonardo,
2011.
[PDF] [bibtek]
2010
2009
Yunpeng Li, David Crandall, Daniel Huttenlocher, "Landmark Classification in Large-scale Image Collections ,"
IEEE International Conference on Computer Vision (ICCV),
2009.
(Poster, 23.2% acceptance rate)
[PDF] [bibtek]
David Crandall, Lars Backstrom, Daniel Huttenlocher, Jon Kleinberg, "Mapping the World's Photos ,"
International World Wide Web Conference (WWW),
2009.
Best paper honorable mention. (Oral, 13% acceptance rate)
Best paper honorable mention! [PDF] [bibtek] [Project page]
2008
David Crandall, Daniel Cosley, Daniel Huttenlocher, Jon Kleinberg, Sid Suri, "Feedback Effects between Similarity and Social Influence in Online Communities ,"
ACM International Conference on Knowledge Discovery and Data Mining (KDD),
2008.
(Oral, 18.6% acceptance rate)
[PDF] [bibtek]
David Crandall, "Part-based Statistical Models for Visual Object Class Recognition ,"
Cornell University, 2008.
(Ph.D. Dissertation)
[PDF] [bibtek]
2007
David Crandall, Daniel Huttenlocher, "Composite Models of Objects and Scenes for Category Recognition ,"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2007.
(Poster, 23.4% acceptance rate)
[PDF] [bibtek]
David Crandall, Pedro Felzenszwalb, Daniel Huttenlocher, "Object Recognition by Combining Appearance and Geometry ,"
Toward Category-Level Object Recognition,
2007.
[PDF] [bibtek] [Project page]
2006
2005
2004
2003
Jiebo Luo, David Crandall, Amit Singhal, Matthew Boutell, Robert Gray, "Psychophysical study of image orientation
perception ,"
Spatial Vision,
2003.
(impact factor = 1.037)
[PDF] [bibtek]
Jiebo Luo, Amit Singhal, David Crandall, Robert Gray, "A Psychophysical Study of Image Orientation Determination,"
SPIE Conference on Human Vision and Image Processing,
2003.
[bibtek]
2002
2001
David Crandall, Rangachar Kasturi, "Robust Detection of Stylized Text Events in Digital Video ,"
IAPR International Conference on Document Analysis and Recognition (ICDAR),
2001.
[PDF] [bibtek]
Rangachar Kasturi, Sameer Antani, David Crandall, "A Framework for Reliable Text-Based Indexing of Video ,"
Symposium on Document Image Understanding Technology,
2001.
[PDF] [bibtek]
David Crandall, "Extraction of Unconstrained Caption Text from General-Purpose Video ,"
The Pennsylvania State University, 2001.
(M.S. Thesis)
[PDF] [bibtek]
2000
Sameer Antani, David Crandall, Rangachar Kasturi, "Robust Extraction of Text in Video ,"
IAPR International Conference on Pattern Recognition (ICPR),
2000.
[PDF] [bibtek]
Sameer Antani, David Crandall, Anand Narasimamurthy, Vladimir Mariano, Rangachar Kasturi, "Evaluation of Methods for Detection and Localization of Text from Video ,"
IAPR Workshop on Document Analysis Systems,
2000.
[PDF] [bibtek]
1999
