Projects | IU Computer Vision Lab

View projects by: General topic Technical approach Year

Social media mining

Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study

Noam Levin, Saleem Ali, David Crandall

Applied Geography 2018

[pdf]

A deep study into the history of web design

Bardia Doosti, David Crandall, Norman Makoto Su

WEBSCI 2017

[www | pdf]

A unified model for near and remote sensing

Scott Workman, Menghua Zhai, David Crandall, Nathan Jacobs

ICCV 2017

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Tracking Natural Events through Social Media and Computer Vision

Jingya Wang, Mohammed Korayem, Saul Blanco, David Crandall

ACMMM 2016

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

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

ICCP 2015

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

Noam Levin, Salit Kark, David Crandall

Ecological Applications 2015

[pdf]

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

Stefan Lee, Haipeng Zhang, David Crandall

WACV 2015

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Multimodal Learning in Loosely-organized Web Images

Kun Duan, David Crandall, Dhruv Batra

CVPR 2014

[pdf]

Observing the natural world with Flickr

Jingya Wang, Mohammed Korayem, David Crandall

ICCV CVCP Workshop 2013

Best paper award!

[pdf]

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

David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher

PAMI 2013

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

Haipeng Zhang, Mohammed Korayem, Erkang You, David Crandall

WSDM 2012

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Mining Photo-sharing Websites to Study Ecological Phenomena

Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn

WWW 2012

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Modeling people and places with internet photo collections

David Crandall, Noah Snavely

CACM 2012

[pdf]

Discrete-Continuous Optimization for Large-scale Structure from Motion

David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher

CVPR 2011

Best paper runner-up!

[www | pdf]

Networks of Landmarks, Photos, and People

David Crandall, Noah Snavely

Leonardo 2011

[pdf]

Mapping the World's Photos

David Crandall, Lars Backstrom, Daniel Huttenlocher, Jon Kleinberg

WWW 2009

Best paper honorable mention!

[www | pdf]

Egocentric and opportunistic vision

Estimating Head Motion from Egocentric Vision

Satoshi Tsutsui, Sven Bambach, David Crandall, Chen Yu

ICMI 2018

[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

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

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

ECCV 2018

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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

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DeepDiary: Automatically Captioning Lifelogging Image Streams

Chenyou Fan, David Crandall

ECCV EPIC Workshop 2016

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Enhancing Lifelogging Privacy by Detecting Screens

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

CHI 2016

Honorable Mention Award!

[www | pdf]

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

Sven Bambach, Stefan Lee, David Crandall, Chen Yu

ICCV 2015

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

Sven Bambach, David Crandall, Chen Yu

ICMI 2015

[pdf]

Reactive Security: Responding to Visual Stimuli from Wearable Cameras

Robert Templeman, Roberto Hoyle, David Crandall, Apu Kapadia

Ubicomp UPSIDE Workshop 2014

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PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces

Robert Templeman, Mohammed Korayem, David Crandall, Apu Kapadia

NDSS 2014

[pdf]

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!

[pdf]

PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

Robert Templeman, Zahidur Rahman, David Crandall, Apu Kapadia

NDSS 2013

[www | pdf]

Object recognition

Toddler-Inspired Visual Object Learning

Sven Bambach, David Crandall, Linda Smith, Chen Yu

NeurIPS 2018

[pdf]

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

Satoshi Tsutsui, David Crandall

ICDAR 2017

[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

[pdf]

Studying human vision

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

Sven Bambach, David Crandall, Linda Smith, Chen Yu

ICDL 2017

[pdf]

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

Sven Bambach, David Crandall, Linda Smith, Chen Yu

COGSCI 2016

[pdf]

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!

[pdf]

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

Sven Bambach, John Franchak, David Crandall, Chen Yu

COGSCI 2014

[pdf]

Understanding Embodied Visual Attention in Child-Parent Interaction

Sven Bambach, David Crandall, Chen Yu

ICDL 2013

[pdf]

Wearable camera attitudes and opportunities

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

[pdf]

Cartooning for enhanced privacy in lifelogging and streaming video

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

CVPR CV-COPS 2017 2017

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

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

SOUPS 2016

[pdf]

Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras

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

CHI 2015

[pdf]

Privacy Concerns and Behaviors of People with Visual Impairments

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

CHI 2015

[pdf]

Privacy Behaviors of Lifeloggers using Wearable Cameras

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

UBICOMP 2014

[pdf]

Machine learning

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

[pdf]

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

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

2016

[pdf]

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

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

NIPS 2016

[pdf]

Computer vision for glaciology[More details on these projects]

Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction

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

WACV 2018

[pdf]

Automatic estimation of ice bottom surfaces from radar imagery

Mingze Xu, David Crandall, Geoffrey Fox, John Paden

ICIP 2017

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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

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Automatic Near Surface Estimation from Snow Radar Imagery

Jerome Mitchell, David Crandall, Geoffrey Fox, John Paden

IGARSS 2013

[pdf]

Layer-finding in radar echograms using probabilistic graphical models

David Crandall, Geoffrey Fox, John Paden

ICPR 2012

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Modeling social networks

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!

[pdf]

De-anonymizing users across heterogeneous social computing platforms

Mohammed Korayem, David Crandall

ICWSM 2013

[pdf]

Inferring Social Ties from Geographic Coincidences

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

PNAS 2010

[pdf]

Feedback Effects between Similarity and Social Influence in Online Communities

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

KDD 2008

[pdf]

Other projects

Minimizing Supervision for Free-space Segmentation

Satoshi Tsutsui, Satoshi Tsutsui, Shunta Saito, David Crandall

CVPR Workshop on Autonomous Driving 2018

[pdf]

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

Wen Chen, David Crandall, Norman Su

CHI 2017

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Addressing supply chain risks of microelectronic devices through computer vision

Zhenhua Chen, Tingyi Wanyan, Ramya Rao, Benjamin Cutilli, James Sowinski, David Crandall, Robert Templeman

AIPR 2017

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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

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

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

SBP 2014

[pdf]

Subjectivity and Sentiment Analysis of Arabic: A Survey

Mohammed Korayem, David Crandall, Muhammad Abdul-Mageed

AMLTA 2012

[pdf]

Solving Avatar Captchas automatically

Mohammed Korayem, Abdallah Mohamed, David Crandall, Roman Yampolskiy

AMLTA 2012

[pdf]