2017
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]
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]
Scott Workman, Menghua Zhai, David Crandall, Nathan Jacobs, "A unified model for near and remote sensing ,"
IEEE International Conference on Computer Vision (ICCV),
2017.
[PDF] [bibtek] [Project page]
Bardia Doosti, David Crandall, Norman Makoto Su, "A deep study into the history of web design ,"
ACM International Web Science Conference (WebSci),
2017.
[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]
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, 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.
[PDF] [bibtek]
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.
[PDF] [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]
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]
Satoshi Tsutsui, David Crandall, "Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation,"
IEEE Conference on Computer Vision and Pattern Recognition Workshop on Language and Vision,
2017.
[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]
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)
[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 (NIPS),
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]
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]
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]
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]
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]
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]
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]
Stefan Lee, "Analyzing Hands with First-Person Computer Vision,"
Indiana University, 2016.
(Ph.D. Dissertation)
[bibtek]
Sven Bambach, "Analyzing Hands with First-Person Computer Vision ,"
Indiana University, 2016.
(Ph.D. Dissertation)
[PDF] [bibtek]
Manu Singh, "Tag selection and propagation for large-scale visual landmark recognition,"
Indiana University, 2016.
(M.S. Thesis)
[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]
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]
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]
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]
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]
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, 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]
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]
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]
Mohammed Korayem, "Social and Egocentric Image Classification for Scientific and Privacy Applications ,"
Indiana University, 2015.
(Ph.D. Dissertation)
[PDF] [bibtek]
Harsh Seth, "Automated Answering Apps for People with Visual Impairments using Google Glass,"
Indiana University, 2015.
(M.S. Thesis)
[bibtek]
Devendra Dhami, "Morphological Classification of Galaxies into Spirals and Non-Sprirals,"
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]
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]
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]
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]
Kun Duan, "Conditional random field models for structured visual object recognition,"
Indiana University, 2014.
(Ph.D. Dissertation)
[bibtek]
Haipeng Zhang, "Analyzing the dynamics between the user-sensed data and the real world ,"
Indiana University, 2014.
(Ph.D. Dissertation)
[PDF] [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]
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]
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]
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]
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, 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]
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]
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]
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]
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
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]
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]
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, Pedro Felzenszwalb, Daniel Huttenlocher, "Object Recognition by Combining Appearance and Geometry ,"
Toward Category-Level Object Recognition,
2007.
[PDF] [bibtek] [Project page]
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]
2006
2005
2004
2003
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]
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]
2002
2001
David Crandall, "Extraction of Unconstrained Caption Text from General-Purpose Video ,"
The Pennsylvania State University, 2001.
(M.S. Thesis)
[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, Rangachar Kasturi, "Robust Detection of Stylized Text Events in Digital Video ,"
IAPR International Conference on Document Analysis and Recognition (ICDAR),
2001.
[PDF] [bibtek]
2000
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]
Sameer Antani, David Crandall, Rangachar Kasturi, "Robust Extraction of Text in Video ,"
IAPR International Conference on Pattern Recognition (ICPR),
2000.
[PDF] [bibtek]
1999
