Projects (by technical approach) | IU Computer Vision Lab

View projects by: General topic Technical approach Year

Deep learning

A Self Validation Network for Object-Level Human Attention Estimation

Zehua Zhang, Chen Yu, David Crandall

NeurIPS 2019

[www | pdf]

Observing Pianist Accuracy and Form with Computer Vision

Jangwon Lee, Bardia Doosti, Yupeng Gu, David Cartledge, David Crandall, Christopher Raphael

WACV 2019

Deepdiary: Lifelogging image captioning and summarization

Chenyou Fan, Zehua Zhang, David Crandall

JVCI 2018

[www | pdf]

See also: [ECCVW 2016 version]

Toddler-Inspired Visual Object Learning

Sven Bambach, David Crandall, Linda Smith, Chen Yu

NeurIPS 2018

Estimating Head Motion from Egocentric Vision

Satoshi Tsutsui, Sven Bambach, David Crandall, Chen Yu

ICMI 2018

Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos

Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, David Crandall

ECCV 2018

[www | pdf]

From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video

Zehua Zhang, Sven Bambach, David Crandall, Chen Yu

BMVC 2018

[www ]

Diverse Beam Search for Improved Description of Complex Scenes

Ashwin Vijayakumar, Michael Cogswell, Ramprasaath Selvaraju, Qing Sun, Stefan Lee, David Crandall, Dhruv Batra

AAAI 2018

Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition

Mingze Xu, Aidean Sharghi, Xin Chen, David Crandall

WACV 2018

Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction

Mingze Xu, Chenyou Fan, John Paden, Geoffrey Fox, David Crandall

WACV 2018

[www ]

A unified model for near and remote sensing

Scott Workman, Menghua Zhai, David Crandall, Nathan Jacobs

ICCV 2017

[www | pdf]

A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks

Satoshi Tsutsui, David Crandall

ICDAR 2017

[www | pdf]

A deep study into the history of web design

Bardia Doosti, David Crandall, Norman Makoto Su

WEBSCI 2017

[www ]

Identifying first-person camera wearers in third-person videos

Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David Crandall, Michael Ryoo

CVPR 2017

[www | pdf]

Tracking Natural Events through Social Media and Computer Vision

Jingya Wang, Mohammed Korayem, Saul Blanco, David Crandall

ACMMM 2016

[www | pdf]

Enhancing Lifelogging Privacy by Detecting Screens

Mohammed Korayem, Robert Templeman, Dennis Chen, David Crandall, Apu Kapadia

CHI 2016

Honorable Mention Award!

[www | pdf]

Recognizing landmarks in large-scale social image collections

David Crandall, Yunpeng Li, Stefan Lee, Daniel Huttenlocher

Visual Analysis and Geolocalization of Large Scale Imagery 2016

See also: [ICCV09 paper]

Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions

Sven Bambach, Stefan Lee, David Crandall, Chen Yu

ICCV 2015

[www | pdf]

Viewpoint Integration for Hand-Based Recognition of Social Interactions from a First-Person View

Sven Bambach, David Crandall, Chen Yu

ICMI 2015

Predicting Geo-informative Attributes in Large-scale Image Collections using Convolutional Neural Networks

Stefan Lee, Haipeng Zhang, David Crandall

WACV 2015

[www | pdf]

Probabilistic Graphical Models

Automatic estimation of ice bottom surfaces from radar imagery

Mingze Xu, David Crandall, Geoffrey Fox, John Paden

ICIP 2017

[www ]

Human pose estimation through composite multi-layer models

Kun Duan, Dhruv Batra, David Crandall

Signal Processing 2015

[www ]

See also: [BMVC 2012 version]

Estimating Bedrock and Surface Layer Boundaries and Confidence Intervals in Ice Sheet Radar Imagery using MCMC

Stefan Lee, Jerome Mitchell, David Crandall, Geoffrey Fox

ICIP 2014

[www ]

Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction

Sven Bambach, John Franchak, David Crandall, Chen Yu

COGSCI 2014

Multimodal Learning in Loosely-organized Web Images

Kun Duan, David Crandall, Dhruv Batra

CVPR 2014

Vehicle Recognition with Constrained Multiple Instance SVMs

Kun Duan, Luca Marchesotti, David Crandall

WACV 2014

This Hand is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video

Stefan Lee, Sven Bambach, David Crandall, John Franchak, Chen Yu

CVPR Egovision Workshop 2014

Best paper award!

SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion

David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher

PAMI 2013

[www ]

Layer-finding in radar echograms using probabilistic graphical models

David Crandall, Geoffrey Fox, John Paden

ICPR 2012

[www ]

Discovering Localized Attributes for Fine-grained Recognition

Kun Duan, Devi Parikh, David Crandall, Kristen Grauman

CVPR 2012

[www ]

Discrete-Continuous Optimization for Large-scale Structure from Motion

David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher

CVPR 2011

Best paper runner-up!

[www ]

Composite Models of Objects and Scenes for Category Recognition

David Crandall, Daniel Huttenlocher

CVPR 2007

Weakly supervised learning of part-based spatial models for visual object recognition

David Crandall, Daniel Huttenlocher

ECCV 2006

[www | pdf]

Spatial Priors for Part-Based Recognition using Statistical Models

David Crandall, Pedro Felzenszwalb, Daniel Huttenlocher

CVPR 2005

[www | pdf]

See also: [Expanded LNCS version]

Traditional features and shallow learning

Cartooning for enhanced privacy in lifelogging and streaming video

Eman Hassan, Rakibul Hasan, Patrick Shaffer, David Crandall, Apu Kapadia

CVPR CV-COPS 2017 2017

PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces

Robert Templeman, Mohammed Korayem, David Crandall, Apu Kapadia

NDSS 2014

PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

Robert Templeman, Zahidur Rahman, David Crandall, Apu Kapadia

NDSS 2013

[www | pdf]

Observing the natural world with Flickr

Jingya Wang, Mohammed Korayem, David Crandall

ICCV CVCP Workshop 2013

Best paper award!

Automatic Near Surface Estimation from Snow Radar Imagery

Jerome Mitchell, David Crandall, Geoffrey Fox, John Paden

IGARSS 2013

Solving Avatar Captchas automatically

Mohammed Korayem, Abdallah Mohamed, David Crandall, Roman Yampolskiy

AMLTA 2012

See also: [ICMLA 2012 paper]

Color Object Detection using Spatial-Color Joint Probability Functions

Jiebo Luo, David Crandall

IEEE Trans. Image Processing 2006

See also: [CVPR 2004 version]

Extraction of special effects caption text events from digital video

David Crandall, Sameer Antani, Rangachar Kasturi

IJDAR 2002

See also: [ICDAR 2001 version]

Robust Extraction of Text in Video

Sameer Antani, David Crandall, Rangachar Kasturi

ICPR 2000

See also: [ICDAR99 paper]

Data mining and analysis

An Egocentric Perspective on Active Vision and Visual Object Learning in Toddlers

Sven Bambach, David Crandall, Linda Smith, Chen Yu

ICDL 2017

Objects in the Center: How the Infant's Body Constrains Infant Scenes

Sven Bambach, Linda Smith, David Crandall, Chen Yu

ICDL 2016

Best paper award!

Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach

Sven Bambach, David Crandall, Linda Smith, Chen Yu

COGSCI 2016

Where have all the people gone? Enhancing global conservation using night lights and social media

Noam Levin, Salit Kark, David Crandall

Ecological Applications 2015

Linking past to present: Discovering style in two centuries of architecture

Stefan Lee, Nicolas Maisonneuve, David Crandall, Alexei Efros, Josef Sivic

ICCP 2015

[www ]

From funding agencies to scientific agency: Collective allocation of science funding as an alternative to peer review

Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner

EMBO Reports 2014

mFingerprint: Privacy-preserving user modeling with multimodal mobile device footprints

Haipeng Zhang, Zhixian Yan, Jun Yang, Emmanuel Munguia Tapia, David Crandall

SBP 2014

Understanding Embodied Visual Attention in Child-Parent Interaction

Sven Bambach, David Crandall, Chen Yu

ICDL 2013

De-anonymizing users across heterogeneous social computing platforms

Mohammed Korayem, David Crandall

ICWSM 2013

Chelsea Won, and You Bought a T-shirt: Characterizing the Interplay Between Twitter and E-Commerce

Haipeng Zhang, Nish Parikh, Gyanit Singh, Neel Sundaresan

ASONAM 2013

Best paper award!

Mining Photo-sharing Websites to Study Ecological Phenomena

Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn

WWW 2012

[www ]

Beyond Co-occurrence: Discovering and Visualizing Tag Relationships from Geo-spatial and Temporal Similarities

Haipeng Zhang, Mohammed Korayem, Erkang You, David Crandall

WSDM 2012

[www ]

Inferring Social Ties from Geographic Coincidences

David Crandall, Lars Backstrom, Daniel Cosley, Siddharth Suri, Daniel Huttenlocher, Jon Kleinberg

PNAS 2010

Mapping the World's Photos

David Crandall, Lars Backstrom, Daniel Huttenlocher, Jon Kleinberg

WWW 2009

Best paper honorable mention!

[www | pdf]

Feedback Effects between Similarity and Social Influence in Online Communities

David Crandall, Daniel Cosley, Daniel Huttenlocher, Jon Kleinberg, Sid Suri

KDD 2008

User and human studies

Can Privacy Be Satisfying? On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms

Rakibul Hasan, Yifang Li, Eman Hassan, Kelly Caine, David Crandall, Roberto Hoyle, Apu Kapadia

CHI 2019

Viewer Experience of Obscuring Scene Elements in Photos to Enhance Privacy

Rakibul Hasan, Eman Hassan, Yifang Li, Kelly Caine, David Crandall, Roberto Hoyle, Apu Kapadia

CHI 2018

Understanding the Aesthetic Evolution of Websites: Towards a Notion of Design Periods

Wen Chen, David Crandall, Norman Su

CHI 2017

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David Crandall, Dhruv Batra

NeurIPS 2016

Addressing Physical Safety, Security, and Privacy for People with Visual Impairments

Tousif Ahmed, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia

SOUPS 2016

Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras

Roberto Hoyle, Robert Templeman, Denise Anthony, David Crandall, Apu Kapadia

CHI 2015

Privacy Concerns and Behaviors of People with Visual Impairments

Tousif Ahmed, Roberto Hoyle, Kay Connelly, David Crandall, Apu Kapadia

CHI 2015

Privacy Behaviors of Lifeloggers using Wearable Cameras

Roberto Hoyle, Robert Templeman, Steven Armes, Denise Anthony, David Crandall, Apu Kapadia

UBICOMP 2014

Psychophysical study of image orientation perception

Jiebo Luo, David Crandall, Amit Singhal, Matthew Boutell, Robert Gray

Spatial Vision 2003

Surveys and other papers

Modeling people and places with internet photo collections

David Crandall, Noah Snavely

CACM 2012

Subjectivity and Sentiment Analysis of Arabic: A Survey

Mohammed Korayem, David Crandall, Muhammad Abdul-Mageed

AMLTA 2012

Networks of Landmarks, Photos, and People

David Crandall, Noah Snavely

Leonardo 2011