2020

  • 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]
  • 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]
  • 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]
  • 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) [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) [bibtek]
  • 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) [bibtek]

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

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

2000

1999

The IU Computer Vision Lab's projects and activities have been funded, in part, by grants and contracts from the Air Force Office of Scientific Research (AFOSR), the Defense Threat Reduction Agency (DTRA), Dzyne Technologies, EgoVid, Inc., ETRI, Facebook, Google, Grant Thornton LLP, IARPA, the Indiana Innovation Institute (IN3), the IU Data to Insight Center, the IU Office of the Vice Provost for Research through an Emerging Areas of Research grant, the IU Social Sciences Research Commons, the Lilly Endowment, NASA, National Science Foundation (IIS-1253549, CNS-1834899, CNS-1408730, BCS-1842817, CNS-1744748, IIS-1257141, IIS-1852294), NVidia, ObjectVideo, Office of Naval Research (ONR), Pixm, Inc., and the U.S. Navy. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government, or any sponsor.