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

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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

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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

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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

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Discrete-Continuous Optimization for Large-scale Structure from Motion

David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher

CVPR 2011

Best paper runner-up!

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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

Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

Yu Yao, Mingze Xu, Chiho Choi, David Crandall, Ella Atkins, Behzad Dariush

ICRA 2019

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Unsupervised Traffic Accident Detection in First-Person Videos

Yu Yao, Mingze Xu, Yuchen Wang, David Crandall, Ella Atkins

IROS 2019

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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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Estimating Head Motion from Egocentric Vision

Satoshi Tsutsui, Sven Bambach, David Crandall, Chen Yu

ICMI 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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Enhancing Lifelogging Privacy by Detecting Screens

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

CHI 2016

Honorable Mention Award!

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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]

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]

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

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PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

Robert Templeman, Zahidur Rahman, David Crandall, Apu Kapadia

NDSS 2013

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Object recognition

Toddler-Inspired Visual Object Learning

Sven Bambach, David Crandall, Linda Smith, Chen Yu

NeurIPS 2018

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

Satoshi Tsutsui, David Crandall

ICDAR 2017

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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

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Studying human vision

Exploring inter-observer differences in first-person object views using deep learning models

Sven Bambach, Zehua Zhang, David Crandall, Chen Yu

ICCV MBCC 2017 2017

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

Sven Bambach, David Crandall, Linda Smith, Chen Yu

ICDL 2017

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

Sven Bambach, David Crandall, Linda Smith, Chen Yu

COGSCI 2016

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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

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Wearable camera attitudes and opportunities

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

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

Mingze Xu, Aidean Sharghi, Xin Chen, David Crandall

WACV 2018

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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

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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

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Privacy Concerns and Behaviors of People with Visual Impairments

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

CHI 2015

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Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras

Roberto Hoyle, Robert Templeman, Denise Anthony, 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

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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

NeurIPS 2016

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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

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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

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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

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Inferring Social Ties from Geographic Coincidences

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

PNAS 2010

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Feedback Effects between Similarity and Social Influence in Online Communities

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

KDD 2008

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Other projects

Observing Pianist Accuracy and Form with Computer Vision

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

WACV 2019

[pdf]

Hello Research! Developing an Intensive Research Experience for Undergraduate Women

Suzanne Menzel, Katie Siek, David Crandall

SIGCSE 2019

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Minimizing Supervision for Free-space Segmentation

Satoshi Tsutsui, Satoshi Tsutsui, Shunta Saito, David Crandall

CVPR Workshop on Autonomous Driving 2018

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

Wen Chen, David Crandall, Norman Su

CHI 2017

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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

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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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Subjectivity and Sentiment Analysis of Arabic: A Survey

Mohammed Korayem, David Crandall, Muhammad Abdul-Mageed

AMLTA 2012

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Solving Avatar Captchas automatically

Mohammed Korayem, Abdallah Mohamed, David Crandall, Roman Yampolskiy

AMLTA 2012

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