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,
(impact factor = 3.392)[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),
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,
(impact factor = 6.371)[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,
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,
(impact factor = 1.325)[bibtek]
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),
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,
Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia, "Addressing Safety, Security, and Privacy for People with Visual Impairments,"
IEEE Internet Computing,
(impact factor = 2.0)[bibtek]
Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner, "An efficient system to fund science: from proposal review to peer-to-peer distributions,"
(impact factor = 2.084)[bibtek]
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),
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,
Stefan Lee, "Data-driven Computer Vision for Science and the Humanities,"
Indiana University, 2016.
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,
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,
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,
I work in computer vision, the area of computer
science concerned with automatically inferring semantic meaning from
images -- teaching computers to "see." More generally, I am interested
in problems that involve analyzing and modeling large amounts of
uncertain data, like mining data from social networking websites.
Before joining IU, I was a graduate student and postdoc in Computer Science at Cornell University. I worked with Professor
Dan Huttenlocher on
statistical part-based object recognition algorithms, and
with Professor Jon
Kleinberg on modeling and mining data from online social
networks. I completed the Ph.D. degree in August 2008.
Before Cornell, I spent two years in the research labs
of Eastman Kodak Company. There I
worked mostly on image understanding and enhancement algorithms
for both consumer and medical images.
As an undergraduate and Masters student
at Penn State University, I worked
with Professor Rangachar
Kasturi on content-based video indexing, and specifically on
detecting, tracking and recognizing text in video (both captions and
text appearing naturally in a scene).
"Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study," in Applied Geography 2018 (with N. Levin, S. Ali)
"Where have all the people gone? Enhancing global conservation using night lights and social media," in Ecological Applications 2015 (with N. Levin, S. Kark)
"De-anonymizing users across heterogeneous social computing platforms," in ICWSM 2013 (with M. Korayem)
"Inferring Social Ties from Geographic Coincidences," in Proc. National Academy of Sciences (PNAS), 8 December 2010 (with L. Backstrom, D. Cosley, S. Suri, D. Huttenlocher, J. Kleinberg)
"Feedback Effects between Similarity and Social Influence in Online Communities," in KDD 2008 (with D. Cosley, J. Kleinberg, D. Huttenlocher, S. Suri)
Image privacy attitudes and applications
"Viewer Experience of Obscuring Scene Elements in Photos to Enhance Privacy," in CHI 2018 (with R. Hasan, E. Hassan, Y. Li, K. Caine, R. Hoyle, A. Kapadia)
"Cartooning for enhanced privacy in lifelogging and streaming video," in CVPR CV-COPS 2017 (with E. Hassan, R. Hasan, P. Shaffer, A. Kapadia)
"Addressing physical safety, security, and privacy for people with visual impairments," in SOUPS 2016 (with T. Ahmed, P. Shaffer, K. Connelly, A. Kapadia)
"Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras," in CHI 2015 (with R. Hoyle, R. Templeman, D. Anthony, A. Kapadia)
"Privacy Concerns and Behaviors of People with Visual Impairments" in CHI 2015 (with T. Ahmed, R. Hoyle, K. Connelly, A. Kapadia)
"Privacy Behaviors of Lifeloggers using Wearable Cameras," in Ubicomp 2014 (with R. Hoyle, R. Templeman, S. Armes, D. Anthony, A. Kapadia)
Human vision and learning
"Exploring inter-observer differences in first-person object views using deep learning models," in ICCV MBCCV workshop, 2017 (with S. Bambach, Z. Zhang, C.Yu)
"An Egocentric Perspective on Active Vision and Visual Object Learning in Toddlers," in ICDL 2017 (with S. Bambach, L. Smith, C. Yu)
"Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach," in CogSci 2016 (with S. Bambach, L. Smith, C. Yu)
"Objects in the Center: How the Infant's Body Constrains Infant Science," in ICDL 2016 (with S. Bambach, L. Smith, C. Yu)
"Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction," in CogSci 2014 (with S. Bambach, J. Franchak, C. Yu)
"Understanding embodied visual attention in child-parent interaction," in ICDL 2013 (with S. Bambach, C. Yu)
"Psychophysical study of image orientation perception,"
in Spatial Vision, 2003, pp. 429-457. (with J. Luo,
A. Singhal, M. Boutell and R. Gray.)
"Diverse Beam Search for Improved Description of Complex Scenes," AAAI Conference on Artificial Intelligence," AAAI 2018 (with A. Vijayakumar, M. Cogswell, R. Selvaraju, Q. Sun, S. Lee, D. Batra)
"Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles," NIPS 2016 (with S. Lee, S. Purushwalkam, M. Cogswell, V. Ranjan, D. Batra)
"Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models," arXiv 2016 (with A. Vijayakumar, M Cogswell, R. Selvaraju, Q. Sun, S. Lee, D. Batra)
"Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks," arXiv 2015 (with S. Lee, S. Purushwalkam, M. Cogswell, D. Batra)
Computer vision for polar science
"Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction," in WACV 2018 (with M. Xu, C. Fan, J. Paden, G. Fox, D. Crandall)
"Automatic estimation of ice bottom surfaces from radar imagery", in ICIP 2017 (with M. Xu, G. Fox, J. Paden)
"Estimating bedrock and surface layer boundaries and confidence intervals in ice sheet radar imagery using MCMC", in ICIP 2014 (with S. Lee, J. Mitchell, G. Fox)
"Layer-finding in radar echograms using probabilistic graphical models", in ICPR 2012 (with G. Fox, J. Paden)
Text and document analysis
A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks," in ICDAR 2017 (with S. Tsutsui)
"Extraction of special effects caption text events from
digital video," in International Journal on Document Analysis and
Recognition, 2002 (with S. Antani and R. Kasturi)
[pdf][M.S. thesis version][ICDAR01 version]
I love cycling. During graduate school I would take multi-day bike
trips spanning hundreds of miles, but the tenure track has made those
trips less feasible. These days I stay closer to home, enjoying
weekend rides along the beautiful country roads of southern Indiana.
I used to ski during winter until I moved to
flattest state east of the Mississippi.
My current preferred
winter activity is swimming in IU's fantastic pools. (My unofficial hobby is to
swim in a public lap pool in as many cities of the world as possible
(so far: Amsterdam, Barcelona, Beijing, Blacksburg, Bloomington, Boulder, Chicago, Columbus, Copenhagen, Dallas, D.C.,
Denver, Detroit, Erie, Fort Collins, Glasgow, Hong Kong, Honolulu, Indianapolis, Ithaca, Jamestown, Jerusalem, Kailua-Kona, Las Vegas, Los Angeles, Madrid, Minneapolis, Montreal, Munich,
Nashville, New Orleans, Newcastle upon Tyne, Paris, Phoenix, Quebec City, Salt Lake City, San Diego, San Jose, Santiago, Seoul, Shanghai, State College, Sydney, Tokyo, Vancouver,
I took piano for 12 years as a child and recently started picking it
back up again. I've also been trying to learn organ.
Since I can't produce great music myself, I'm happy to
live just a few blocks from the
amazing IU Jacobs School of
I'm on a perpetual quest to become fluent in Spanish. In addition to
taking classes in high school and throughout college and graduate
school, I've studied abroad in Spain and Mexico, and I've also traveled
to Puerto Rico, Chile, and El Salvador. Despite all that effort, my Spanish
is still remarkably lousy. :)
If you like pretty pictures,
you might check out my dad's amazing
photos. My own household flock includes Pichu, Ron, Sally, Betsy, and Sebastian; alumni are Toto, Zuma, Rameses, Rameses II, and, of course, Cocoa.