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.
[bibtek]
Rakibul Hasan, David Crandall, Mario Fritz, Apu Kapadia, "Automatically Detecting Bystanders in Photos to Reduce
Privacy Risks,"
IEEE Security and Privacy (Oakland),
2020.
[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)[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)[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.
[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)[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.
[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.
[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)[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]
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.
[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]
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]
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]
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]
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]
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,
2017.
(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,"
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]
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]
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]
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, "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]
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]
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]
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]
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]
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]
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]
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]
