Projects | IU Computer Vision Lab

View projects by: General topic Technical approach Year

Social media mining

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

[www | pdf]

Tracking Natural Events through Social Media and Computer Vision

Jingya Wang, Mohammed Korayem, Saul Blanco, David Crandall

ACMMM 2016

[www | pdf]

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

[www | pdf]

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

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

ICCP 2015

[www | pdf]

Multimodal Learning in Loosely-organized Web Images

Kun Duan, David Crandall, Dhruv Batra

CVPR 2014

[pdf]

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

David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher

PAMI 2013

[www | pdf]

Observing the natural world with Flickr

Jingya Wang, Mohammed Korayem, David Crandall

ICCV CVCP Workshop 2013

Best paper award!

[pdf]

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 | pdf]

Mining Photo-sharing Websites to Study Ecological Phenomena

Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn

WWW 2012

[www | pdf]

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

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]

DeepDiary: Automatically Captioning Lifelogging Image Streams

Chenyou Fan, David Crandall

ECCV EPIC Workshop 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]

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

Sven Bambach, David Crandall, Chen Yu

ICMI 2015

[pdf]

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

Sven Bambach, Stefan Lee, David Crandall, Chen Yu

ICCV 2015

[www | pdf]

Reactive Security: Responding to Visual Stimuli from Wearable Cameras

Robert Templeman, Roberto Hoyle, David Crandall, Apu Kapadia

Ubicomp UPSIDE Workshop 2014

[pdf]

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

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

Cartooning for enhanced privacy in lifelogging and streaming video

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

CVPR CV-COPS 2017 2017

[pdf]

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

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

SOUPS 2016

[pdf]

Privacy Concerns and Behaviors of People with Visual Impairments

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

CHI 2015

[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 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: 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]

Automatic estimation of ice bottom surfaces from radar imagery

Mingze Xu, David Crandall, Geoffrey Fox, John Paden

ICIP 2017

[pdf]

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 | pdf]

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

[www | pdf]

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

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

Wen Chen, David Crandall, Norman Su

CHI 2017

[pdf]

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

[pdf]

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]