2025

  • Vibhas Vats, David Crandall, "Geometric Constraints in Deep Learning Frameworks: A Survey," ACM Computing Surveys, 2025. (impact factor = 16.6) [ bibtek]
  • Kristen Grauman, Andrew Westbury, Eugene Byrne, Vincent Cartillier, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Devansh Kukreja, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik, "Ego4d: Around the world in 3,000 hours of egocentric video," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2025. (to appear) [ bibtek]
  • Chi-Hsi Kung, Frangil M Ramirez, Juhyung Ha, Yi-Hsuan Tsai, Yi-Ting Chen, David Crandall, "What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning," IEEE International Conference on Computer Vision (ICCV), 2025. [ bibtek]
  • Maha Ibrar, Megan Knobeloch, Nayana Christudas Beena, Yaroslav Losovyj, Sheng-Yuan Huang, Claire McCurtain, David Crandall, Stephen Jacobson, Sara Skrabalak, "Stable versus Temporally Sensitive Optical Security Tags from Metal Nanoparticles," Nano Letters, 2025. (to appear, impact factor = 9.6) [ bibtek]
  • Diane Kuhn, Nicholas Harrison, Paul Musey, David Crandall, Peter Pang, Julie Welch, Christopher Harle, "Preliminary findings regarding the association between patient demographics and ED experience scores across a regional health system: A cross sectional study using natural language processing of patient comments," International Journal of Medical Informatics, 2025. (impact factor = 4.046) [ bibtek]
  • Xiaomeng Ye, David Leake, Yu Wang, David Crandall, "Run Like a Neural Network, Explain Like k-Nearest Neighbor," International Joint Conference on Artificial Intelligence, 2025. (acceptance rate = 19.3%) [ bibtek]
  • Samuel Goree, Jackson Domingo, David Crandall, "Human-Centered Evaluation of Aesthetic Quality Assessment Models Using a Smartphone Camera Application," ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025. (acceptance rate = 26.8%) [ bibtek]
  • Long-Jing Hsu, Janice Bays, Manasi Swaminathan, Weslie Khoo, Hiroki Sato, Kyrie Jig Amon, Sathvika Dobbala, Min Min Thant, Alex Foster, Katherine Tsui, Philip Stafford, David Crandall, Selma Sabanovic, "Research as care: A reflection on incorporating the ethics of care in design research with people living with dementia," ACM Designing Interactive Systems Conference (DIS), 2025. [ bibtek]
  • Long-Jing Hsu, Janice Bays, Manasi Swaminathan, Weslie Khoo, Hiroki Sato, Kyrie Jig Amon, Sathvika Dobbala, Min Min Thant, Alex Foster, Kate Tsui, Philip Stafford, David Crandall, Selma Sabanovic, "Bittersweet Snapshots of Life: Designing to Address Complex Emotions in a Reminiscence Interaction between Older Adults and a Robot," ACM CHI Conference on Human Factors in Computing Systems (CHI), 2025. (acceptance rate = 25.1%) [ bibtek]
  • Juhyung Ha, Jong Sung Park, David Crandall, Eleftherios Garyfallidis, Xuhong Zhang, "Multi-resolution Guided 3D GANs for Medical Image Translation," IEEE Winter Conference on Applications of Computer Vision (WACV), 2025. (poster, acceptance rate = 37.8%) [ Paper] [ bibtek]
  • Zachary Wilkerson, David Leake, David Crandall, Benjamin Wilkerson, "Extracting Features with Deep Learning for Ensemble-Driven Case-Based Classification," International Conference on Case-based Reasoning (ICCBR), 2025. [ bibtek]
  • Vibhas Vats, Zachary Wilkerson, Hiroki Sato, David Leake, David Crandall, "Learning Case Features with Proxy-Guided Deep Neural Networks," International Conference on Case-based Reasoning (ICCBR), 2025. [ bibtek]
  • Weslie Khoo, Long-Jing Hsu, Frangil Ramirez, Liang Jhen Huang, Trisha Konkimalla, Chia-Fang Chung, David Crandall, "Bridging Human Intuition and AI in Colorful Food Assessment," ACM CHI Conference on Human Factors in Computing Systems (CHI) Late Breaking Work, 2025. (32.83% acceptance rate) [ bibtek]
  • Waki Kamino, Andrea Wang, Dhruv Agarwal, Sil Hamilton, Eun Jeong Kang, Jieun Kim, Keigo Kusumegi, Pegah Moradi, Daniel Mwesigwa, Yan Tao, I-Ting Tsai, Ethan Yang, Shengqi Zhu, Shu-Jung Han, Chi-Jung Lee, Michael Joseph Sack, Tianhong Catherine Yu, Weslie Khoo, Andy Elliot Ricci, Yoyo Tsung-Yu Hou, Boyoung Kim, Selma Sabanovic, David Crandall, Karen Levy, Malte F Jung, "Million Eyes on the Robot Umps: The Case for Studying Sports in HRI Through Baseball," Companion of the ACM/IEEE International Conference on Human Robot Interaction (HRI), 2025. [ bibtek]

2024

  • Mang Ye, Shuoyi Chen, Chenyue Li, Wei-Shi Zheng, David Crandall, Bo Du, "Transformer for Object Re-Identification: A Survey," International Journal of Computer Vision (IJCV), 2024. [ bibtek]
  • Kangsan Lee, Jaehyuk Park, Sam Goree, David Crandall, Yong-Yeol Ahn, "Social signals predict contemporary art prices better than visual features, particularly in emerging markets," Scientific Reports, 2024. (impact factor = 4.6) [ Paper] [ bibtek]
  • Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu, "SePaint: Semantic Map Inpainting via Multinomial Diffusion," IEEE International Conference on Intelligent Robots and Systems (IROS), 2024. [ Paper] [ bibtek]
  • Sam Goree, Gabriel Appleby, David Crandall, Norman Su, "Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper," ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2024. [ Paper] [ bibtek]
  • Long-Jing Hsu, Weslie Khoo, Manasi Swaminathan, Kyrie Jig Amon, Rasika Muralidharan, Hiroki Sato, Min Min Thant, Anna Kim, Katherine M Tsui, David J Crandall, Selma Šabanovic, "Let's Talk About You: Development and Evaluation of an Autonomous Robot to Support Ikigai Reflection in Older Adults," IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2024. [ bibtek]
  • Xizi Wang, Feng Cheng, Gedas Bertasius, "LoCoNet: Long-Short Context Network for Active Speaker Detection," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [ Paper] [ bibtek] [ Video]
  • Ziwei Zhao, Yuchen Wang, Chuhua Wang, "Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [ bibtek]
  • Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina Gonzalez, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelaez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C.V. Jawahar, Richard Newcombe, Hyun Soo Park, James Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray, "Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [ Paper] [ bibtek] [ Video]
  • Long-Jing Hsu, Philip Stafford, Weslie Khoo, Manasi Swaminathan, Kyrie Jig Amon, Hiroki Sato, Kate Tsui, David Crandall, Selma Sabanovic, "``Give it time:'' Longitudinal Panels Scaffold Older Adults' Learning and Robot Co-Design," ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024. [ bibtek]
  • Maha Ibrar, Sheng-Yuan Huang, Zachery McCurtain, Shujon Naha, David Crandall, Stephen Jacobson, Sara Skrabalak, "Modular Anti-counterfeit Tags Formed by Template-Assisted Self-Assembly of Plasmonic Nanocrystals and Authenticated by Machine Learning," Advanced Functional Materials, 2024. (impact factor = 19.0) [ Paper] [ bibtek]
  • Satoshi Tsutsui, Yanwei Fu, David Crandall, "Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2024. (impact factor = 17.861) [ Paper] [ bibtek]
  • Vibhas Vats, Sripad Joshi, David Crandall, Md. Alimoor Reza, Soon-heung Jung, "GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo," IEEE Winter Conference on Applications of Computer Vision (WACV), 2024. [ Paper] [ bibtek] [ Video] [ Project page]
  • Chuhua Wang, Md Alimoor Reza, Vibhas Vats, Yingnan Ju, Nikhil Thakurdesai, Yuchen Wang, David Crandall, Soon-heung Jung, Jeongil Seo, "Deep learning-based 3D reconstruction from multiple images: A survey," Neurocomputing, 2024. (impact factor = 6.0) [ bibtek]
  • Xiaomeng Ye, David Leake, Yu Wang, Ziwei Zhao, David Crandall, "Network Implementation of CBR: Case Study of a Neural Network K-NN," International Conference on Case-based Reasoning (ICCBR), 2024. [ bibtek]
  • Zachary Wilkerson, David Leake, Vibhas Vats, David Crandall, "Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach," International Conference on Case-based Reasoning (ICCBR), 2024. [ bibtek]
  • David Leake, Zachary Wilkerson, David Crandall, "Combining Case-Based Reasoning with Deep Learning: Context and Ongoing Case Feature Learning Research," AAAI Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models, 2024. [ bibtek]
  • Long-Ling Hsu, Weslie Khoo, Peter Lenon Goshomi, Philip Stafford, Manasi Swaminathan, Kate Tsui, David Crandall, Selma Sabanovic, "Is Now a Good Time? Opportune Moments for Interacting with an Ikigai Support Robot," Companion of the ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024. [ bibtek]
  • Manasi Swaminathan, Long-Ling Hsu, Min Min Thant, Kyrie Jig Amon, Anna Kim, Kate Tsui, Selma Sabanovic, David Crandall, Weslie Khoo, "If [YourName] can code, so can you! End-user robot programming for non-experts," Companion of the ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024. [ bibtek]
  • Shujon Naha, Seung Woo Chae, Noriko Hara, David Crandall, "Exploring Medical YouTubers' Parasocial Visual Cues in Their COVID-related Videos," International Conference on Social Media and Society (SMSociety), 2024. [ bibtek]
  • Katherine Tsui, Sarah Cohen, Selma Sabanovic, Alex Alspach, Rune Baggett, David Crandall, Steffi Paepcke, "Uncovering Older Adult Needs: Applying User-Centered Research Methodologies to Inform Robotics Development and a Call to Action," Human-Robot Interaction -- A Multidisciplinary Overview, 2024. [ Paper] [ bibtek]

2023

2022

  • Ziwei Zhao, David Leake, Xiaomeng Ye, David Crandall, "Generating Counterfactual Images: Toward a C2C-VAE Approach," International Conference on Case-based Reasoning Workshop on Case-Based Reasoning for the Explanation of Intelligent Systems, 2022. [ bibtek]
  • David Leake, "Case-Based Explanation: Making the Implicit Explicit," Proceedings of XCBR-22: Fourth Workshop on Case-Based Reasoning for the Explanation of Intelligent Systems, ICCBR-22 Workshop Proceedings, 2022. In press [ Paper] [ bibtek]
  • Chuhua Wang, Yuchen Wang, Mingze Xu, David Crandall, "Stepwise Goal-Driven Networks for Trajectory Prediction," IEEE Robotics and Automation Letters (RA-L), 2022. (impact factor = 3.741) [ Paper] [ bibtek] [ Video]
  • Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo, "Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022. (impact factor = 17.861) [ bibtek]
  • Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Luc Van Gool, "Segmenting Objects from Relational Visual Data," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022. (impact factor = 17.861) [ bibtek]
  • Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik, "Ego4D: Around the World in 3,000 Hours of Egocentric Video," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [ Paper] [ bibtek] [ Video]
  • Zhenhua Chen, Chuhua Wang, David Crandall, "Semantically Stealthy Adversarial Attacks against Segmentation Models," IEEE Winter Conference on Applications of Computer Vision (WACV), 2022. (35.0% acceptance rate) [ Paper] [ bibtek] [ Video]
  • Zehua Zhang, David Crandall, "Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning," IEEE Winter Conference on Applications of Computer Vision (WACV), 2022. (35.0% acceptance rate) [ Paper] [ bibtek] [ Video]
  • Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David Crandall, Chen Yu, "Action Recognition based on Cross-Situational Action-object Statistics," IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 2022. [ Paper] [ bibtek]
  • Xiaomeng Ye, David Leake, David Crandall, "Case Adaptation with Neural Networks: Capabilities and Limitations," International Conference on Case-based Reasoning (ICCBR), 2022. [ bibtek]
  • David Leake, Zachary Wilkerson, David Crandall, "Extracting Case Indices from Convolutional Neural Networks: A Comparative Study," International Conference on Case-based Reasoning (ICCBR), 2022. [ bibtek]
  • Xiaomeng Ye, Ziwei Zhao, David Leake, David Crandall, "Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach," International Conference on Computational Creativity (ICCC), 2022. [ bibtek] [ Video]
  • Zehua Zhang, David Crandall, Michael Proulx, Sachin Talathi, Abhishek Sharma, "Can Gaze Inform Egocentric Action Recognition?," ACM Symposium on Eye Tracking Research and Applications (ETRA), 2022. [ bibtek]
  • Vibhas Vats, David Crandall, "Controlling the Quality of Distillation in Response-Based Network Compression," AAAI International Workshop on Practical Deep Learning in the Wild, 2022. [ Paper] [ bibtek]

2021

2020

2019

  • Victor Berger, Mingze Xu, Mohanad Al-Ibadi, Shane Chu, David Crandall, John Paden, Geoffrey Fox, "Automated Ice-Bottom Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2019. (impact factor = 3.392) [ bibtek]
  • Noam Levin, Saleem Ali, David Crandall, Salit Kark, "World Heritage in danger: Big data and remote sensing can help protect sites in conflict zones," Global Environmental Change, 2019. (impact factor = 6.371) [ bibtek]
  • Satoshi Tsutsui, Yanwei Fu, David Crandall, "Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition," Advances in Neural Information Processing Systems (NeurIPS), 2019. (Poster, 21.6% acceptance rate) [ Paper] [ bibtek] [ Project page]
  • Zehua Zhang, Chen Yu, David Crandall, "A Self Validation Network for Object-Level Human Attention Estimation," Advances in Neural Information Processing Systems (NeurIPS), 2019. (Poster, 21.6% acceptance rate) [ Paper] [ bibtek] [ Project page]
  • Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David Crandall, Devi Parikh, Dhruv Batria, "Embodied Visual Recognition: Learning to Move for Amodal Perception," IEEE International Conference on Computer Vision (ICCV), 2019. (Poster, 25.0% acceptance rate) [ Paper] [ bibtek]
  • Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David Crandall, "Temporal Recurrent Networks for Online Action Detection," IEEE International Conference on Computer Vision (ICCV), 2019. (Poster, 25.0% acceptance rate) [ Paper] [ bibtek]
  • Yu Yao, Mingze Xu, Chiho Choi, David Crandall, Ella Atkins, Behzad Dariush, "Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems," IEEE Conference on Robotics and Automation (ICRA), 2019. (Oral, 44% acceptance rate) [ Paper] [ bibtek]
  • Rakibul Hasan, Yifang Li, Eman Hassan, Kelly Caine, David Crandall, Roberto Hoyle, Apu Kapadia, "Can Privacy Be Satisfying? On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms," ACM CHI Conference on Human Factors in Computing Systems (CHI), 2019. (Oral, 23.8% acceptance rate) [ bibtek]
  • Wenguan Wang, Xiankai Lu, Jianbing Shen, David Crandall, Ling Shao, "Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks," IEEE International Conference on Computer Vision (ICCV), 2019. (Oral, 25.0% acceptance rate) [ Paper] [ bibtek]
  • Yu Yao, Mingze Xu, Yuchen Wang, David Crandall, Ella Atkins, "Unsupervised Traffic Accident Detection in First-Person Videos," IEEE International Conference on Intelligent Robots and Systems (IROS), 2019. (Oral, 45.0% acceptance rate) [ Paper] [ bibtek]
  • Md Alimoor Reza, Akshay Naik, Kai Chen, David Crandall, "Automatic Annotation for Semantic Segmentation in Indoor Scenes," IEEE International Conference on Intelligent Robots and Systems (IROS), 2019. (Oral, 45.0% acceptance rate) [ bibtek]
  • Jangwon Lee, Bardia Doosti, Yupeng Gu, David Cartledge, David Crandall, Christopher Raphael, "Observing Pianist Accuracy and Form with Computer Vision," IEEE Winter Conference on Applications of Computer Vision (WACV), 2019. (Poster+Oral, 39% acceptance rate) [ bibtek]
  • Suzanne Menzel, Katie Siek, David Crandall, "Hello Research! Developing an Intensive Research Experience for Undergraduate Women," ACM Technical Symposium on Computer Science Education (SIGCSE), 2019. (Oral, 34% acceptance rate) [ bibtek] [ Project page]
  • Jeremy Borjon, Sara Schroer, Sven Bambach, Lauren Slone, Drew Abney, David Crandall, Linda Smith, "A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras," Journal of Visualized Experiments, 2019. (impact factor = 1.325) [ bibtek]
  • Hadar Karmazyn Raz, Drew Abney, David Crandall, Chen Yu, Linda Smith, "How do infants start learning object names in a sea of clutter?," Annual Conference of the Cognitive Science Society (CogSci), 2019. [ bibtek]
  • Aniruddha Godbole, David Crandall, "Empowering Borrowers in their Choice of Lenders: Decoding Service Quality from Customer Complaints," ACM International Web Science Conference (WebSci), 2019. (Oral, 34.2% acceptance rate) [ bibtek] [ Project page]
  • Katie Spoon, David Crandall, Katie Siek, "Towards Detecting Dyslexia in Children's Handwriting Using Neural Networks," ICML Workshop on AI for Social Good, 2019. Best poster award. [ bibtek] [ Project page]
  • Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza, David Crandall, Chen Yu, "Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study," IEEE CVPR Workshop on Egocentric Perception, Interaction, and Computing (EPIC), 2019. [ Paper] [ bibtek]
  • Zhenhua Chen, Chuhua Wang, Tiancong Zhao, David Crandall, "Generalized Capsule Networks with Trainable Routing Procedure," International Conference on Machine Learning Workshop on Generalization, 2019. [ Paper] [ bibtek]
  • Tousif Ahmed, Rakibul Hasan, Kay Connelly, David Crandall, Apu Kapadia, "Conveying Situational Information to People with Visual Impairments," CHI Workshop on Addressing the Challenges of Situationally-Induced Impairments and Disabilities in Mobile Interaction, 2019. [ Paper] [ bibtek]
  • David Crandall, "Artificial Intelligence and Manufacturing," Smart Factories: Issues of Information Governance, 2019. [ Paper] [ bibtek]
  • Geoffrey Fox, Judy Qiu, David Crandall, Gregor Von Laszewski, Oliver Beckstein, John Paden, Ioannis Paraskevakos, Shantenu Jha, Fusheng Wang, Madhav Marathe, Anil Vullikanti, Thomas Cheatham, "Contributions to High-Performance Big Data Computing," Future Trends of HPC in a Disruptive Scenario, 2019. [ bibtek]

2018

  • Sven Bambach, David Crandall, Linda Smith, Chen Yu, "Toddler-Inspired Visual Object Learning," Advances in Neural Information Processing Systems (NeurIPS), 2018. (Poster, 20.8% acceptance rate) [ Paper] [ bibtek]
  • Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, David Crandall, "Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos," European Conference on Computer Vision (ECCV), 2018. (Poster) [ Paper] [ bibtek] [ Project page]
  • Rakibul Hasan, Eman Hassan, Yifang Li, Kelly Caine, David Crandall, Roberto Hoyle, Apu Kapadia, "Viewer Experience of Obscuring Scene Elements in Photos to Enhance Privacy," ACM CHI Conference on Human Factors in Computing Systems (CHI), 2018. (Oral, 25.7% acceptance rate) [ bibtek]
  • Ashwin Vijayakumar, Michael Cogswell, Ramprasaath Selvaraju, Qing Sun, Stefan Lee, David Crandall, Dhruv Batra, "Diverse Beam Search for Improved Description of Complex Scenes," AAAI Conference on Artificial Intelligence, 2018. (Poster, 24.6% acceptance rate) [ Paper] [ bibtek]
  • Bo-chiuan Chen, Dong-Chul Seo, Hsien-Chang Lin, David Crandall, "A Framework for Estimating Sleep Timing from Digital Footprints," BMJ Innovations, 2018. (impact factor = 2.899) [ bibtek]
  • Chenyou Fan, Zehua Zhang, David Crandall, "Deepdiary: Lifelogging image captioning and summarization," Journal of Visual Communication and Image Representation, 2018. (impact factor = 2.164) [ Paper] [ bibtek] [ Project page]
  • Noam Levin, Saleem Ali, David Crandall, "Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study," Applied Geography, 2018. (impact factor = 2.56) [ bibtek]
  • Satoshi Tsutsui, Sven Bambach, David Crandall, Chen Yu, "Estimating Head Motion from Egocentric Vision," ACM International Conference on Multimodal Interaction (ICMI), 2018. [ Paper] [ bibtek]
  • Zehua Zhang, Sven Bambach, David Crandall, Chen Yu, "From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video," British Machine Vision Conference (BMVC), 2018. (Oral, 4.3% acceptance rate) [ bibtek] [ Project page]
  • Mingze Xu, Aidean Sharghi, Xin Chen, David Crandall, " Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition," IEEE Winter Conference on Applications of Computer Vision (WACV), 2018. (40% acceptance rate) [ Paper] [ bibtek]
  • Mingze Xu, Chenyou Fan, John Paden, Geoffrey Fox, David Crandall, "Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction," IEEE Winter Conference on Applications of Computer Vision (WACV), 2018. (40% acceptance rate) [ bibtek] [ Video] [ Project page]
  • Mohanad Al-Ibadi, Jordan Sprick, Sravya Athinarapu, Victor Berger, Theresa Stumpf, John Paden, Carl Leuschen, Fernando Rodriguez, Mingze Xu, David Crandall, Geoffrey Fox, David Burgess, Martin Sharp, Luke Copland, Wesley Van Wychen, "Crossover Analysis and Automated Layer-Tracking Assessment of the Extracted DEM of the Basal Topography of the Canadian Arctic Archipelago Ice-Cap," IEEE Radar Conference, 2018. [ bibtek]
  • Victor Berger, Mingze Xu, David Crandall, John Paden, Geoffrey Fox, "Automated Tracking of 2d and 3d Ice Radar Imagery using Viterbi and TRW-S," IEEE International Geoscience and Remote Sensing Symposium, 2018. [ bibtek]
  • Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David Crandall, "Minimizing Supervision for Free-space Segmentation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Autonomous Driving (WAD), 2018. [ Paper] [ bibtek]
  • Jangwon Lee, Haodan Tan, David Crandall, Selma Sabanovic, "Forecasting Hand Gestures for Human-Drone Interaction," ACM/IEEE International Conference on Human Robot Interaction (HRI), 2018. (Late-breaking Report) [ bibtek]

2017

  • Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David Crandall, Apu Kapadia, "Understanding the Physical Safety, Security, and Privacy Concerns of People with Visual Impairments," IEEE Internet Computing, 2017. (impact factor = 2.0) [ bibtek]
  • Scott Workman, Menghua Zhai, David Crandall, Nathan Jacobs, "A unified model for near and remote sensing," IEEE International Conference on Computer Vision (ICCV), 2017. (Poster, 28% acceptance rate) [ Paper] [ bibtek] [ Project page]
  • Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David Crandall, Michael Ryoo, "Identifying first-person camera wearers in third-person videos," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (Poster, 29.0% acceptance rate) [ Paper] [ bibtek] [ Project page]
  • Wen Chen, David Crandall, Norman Su, "Understanding the Aesthetic Evolution of Websites: Towards a Notion of Design Periods," ACM CHI Conference on Human Factors in Computing Systems (CHI), 2017. (Oral, 25.0% acceptance rate) [ bibtek]
  • Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner, "An efficient system to fund science: from proposal review to peer-to-peer distributions," Scientometrics, 2017. (impact factor = 2.084) [ bibtek]
  • Satoshi Tsutsui, David Crandall, "A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks," IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017. [ Paper] [ bibtek] [ Project page]
  • Bardia Doosti, David Crandall, Norman Makoto Su, "A deep study into the history of web design," ACM International Web Science Conference (WebSci), 2017. (Oral, 35.3% acceptance rate) [ bibtek] [ Project page]
  • Sven Bambach, David Crandall, Linda Smith, Chen Yu, "An Egocentric Perspective on Active Vision and Visual Object Learning in Toddlers," IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 2017. (Oral, 37.1% acceptance rate) [ bibtek]
  • Mingze Xu, David Crandall, Geoffrey Fox, John Paden, "Automatic estimation of ice bottom surfaces from radar imagery," IEEE International Conference on Image Processing (ICIP), 2017. (Oral, 45.0% acceptance rate) [ bibtek] [ Project page]
  • Eman Hassan, Rakibul Hasan, Patrick Shaffer, David Crandall, Apu Kapadia, "Cartooning for enhanced privacy in lifelogging and streaming video," IEEE Conference on Computer Vision and Pattern Recognition Workshop on Computer Vision Challenges and Opportunities for Privacy and Security (CVPR CV-COPS), 2017. [ Paper] [ bibtek]
  • Zhenhua Chen, Tingyi Wanyan, Ramya Rao, Benjamin Cutilli, James Sowinski, David Crandall, Robert Templeman, "Addressing supply chain risks of microelectronic devices through computer vision," IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2017. [ bibtek]
  • Sven Bambach, Zehua Zhang, David Crandall, Chen Yu, "Exploring inter-observer differences in first-person object views using deep learning models," IEEE International Conference on Computer Vision Workshop on Mutual Benefits of Cognitive and Computer Vision, 2017. [ Paper] [ bibtek]
  • Jangwon Lee, Jingya Wang, David Crandall, Selma Sabanovic, Geoffrey Fox, "Real-Time, Cloud-based Object Detection for Unmanned Aerial Vehicles," IEEE Robotic Computing, 2017. (Oral) [ bibtek]
  • Mohanad Al-Ibadi, Jordan Sprick, Sravya Athinarapu, Theresa Stumpf, John Paden, Carl Leuschen, Fernando Rodriguez, Mingze Xu, David Crandall, Geoffrey Fox, David Burgess, Martin Sharp, Luke Copland, Wesley Van Wychen, "DEM Extraction of the Basal Topography of the Canadian Archipelago Ice Caps via 2d automated layer-tracking," IEEE International Geoscience and Remote Sensing Symposium, 2017. (Oral) [ bibtek]
  • Satoshi Tsutsui, Guilin Meng, Xiaohui Yao, David Crandall, Ying Ding, "Analyzing figures of brain images from Alzheimer's Disease Papers," iConference, 2017. [ Paper] [ bibtek]

2016

2015

  • Noam Levin, Salit Kark, David Crandall, "Where have all the people gone? Enhancing global conservation using night lights and social media," Ecological Applications, 2015. (impact factor = 4.126) [ bibtek]
  • Kun Duan, Dhruv Batra, David Crandall, "Human pose estimation through composite multi-layer models," Signal Processing, 2015. (impact factor = 2.238) [ bibtek] [ Project page]
  • Sven Bambach, Stefan Lee, David Crandall, Chen Yu, "Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions," IEEE International Conference on Computer Vision (ICCV), 2015. (Poster, 30.3% acceptance rate) [ Paper] [ bibtek] [ Project page]
  • Sven Bambach, David Crandall, Chen Yu, "Viewpoint Integration for Hand-Based Recognition of Social Interactions from a First-Person View," ACM International Conference on Multimodal Interaction (ICMI), 2015. (Poster, 41% acceptance rate) [ bibtek]
  • Stefan Lee, Nicolas Maisonneuve, David Crandall, Alexei Efros, Josef Sivic, "Linking past to present: Discovering style in two centuries of architecture," IEEE International Conference on Computational Photography (ICCP), 2015. (Oral, 24% acceptance rate) [ bibtek] [ Project page]
  • Tousif Ahmed, Roberto Hoyle, Kay Connelly, David Crandall, Apu Kapadia, "Privacy Concerns and Behaviors of People with Visual Impairments," ACM CHI Conference on Human Factors in Computing Systems (CHI), 2015. (Full paper, 23% acceptance rate) [ Paper] [ bibtek]
  • Stefan Lee, Haipeng Zhang, David Crandall, "Predicting Geo-informative Attributes in Large-scale Image Collections using Convolutional Neural Networks," IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. (Oral and poster, 36.7% acceptance rate) [ Paper] [ bibtek] [ Project page]
  • Roberto Hoyle, Robert Templeman, Denise Anthony, David Crandall, Apu Kapadia, "Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras," ACM CHI Conference on Human Factors in Computing Systems (CHI), 2015. (CHI Note) [ Paper] [ bibtek]
  • Supun Kamburugamuve, Hengjing He, Geoffrey Fox, David Crandall, "Cloud-based parallel implementation of SLAM for mobile robots," International Supercomputing Conference (ISC) Cloud & Big Data Conference, 2015. [ bibtek]
  • Roberto Hoyle, Apu Kapadia, David Crandall, "Challenges in Running Wearable Camera-Related User Studies," ACM Conference on Computer-Supported Cooperative Work and Social Computing Workshop on The Future of Networked Privacy: Challenges and Opportunities, 2015. [ bibtek]
  • Mohammed Korayem, "Social and Egocentric Image Classification for Scientific and Privacy Applications," Indiana University, 2015. (Ph.D. Dissertation) [ bibtek]
  • Devendra Dhami, "Morphological Classification of Galaxies into Spirals and Non-Sprirals," Indiana University, 2015. (M.S. Thesis) [ bibtek]
  • Harsh Seth, "Automated Answering Apps for People with Visual Impairments using Google Glass," Indiana University, 2015. (M.S. Thesis) [ bibtek]

2014

  • Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner, "Response: ``Why we still need grant peer review''," EMBO Reports, 2014. (impact factor = 7.189) [ Paper] [ bibtek]
  • Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Borner, "From funding agencies to scientific agency: Collective allocation of science funding as an alternative to peer review," EMBO Reports, 2014. (impact factor = 7.189) [ Paper] [ bibtek]
  • Kun Duan, David Crandall, Dhruv Batra, "Multimodal Learning in Loosely-organized Web Images," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. (Poster, 29.9% acceptance rate) [ Paper] [ bibtek]
  • Robert Templeman, Mohammed Korayem, David Crandall, Apu Kapadia, "PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces," Network and Distributed System Security Symposium (NDSS), 2014. (Oral, 18.6% acceptance rate) [ bibtek]
  • Stefan Lee, Jerome Mitchell, David Crandall, Geoffrey Fox, "Estimating Bedrock and Surface Layer Boundaries and Confidence Intervals in Ice Sheet Radar Imagery using MCMC," IEEE International Conference on Image Processing (ICIP), 2014. (Oral, 44% acceptance rate) [ bibtek] [ Project page]
  • Roberto Hoyle, Robert Templeman, Steven Armes, Denise Anthony, David Crandall, Apu Kapadia, "Privacy Behaviors of Lifeloggers using Wearable Cameras," ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2014. (Oral, 20.7% acceptance rate) [ bibtek] [ Video]
  • Sven Bambach, John Franchak, David Crandall, Chen Yu, "Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction," Annual Conference of the Cognitive Science Society (CogSci), 2014. (Oral, 41.0% acceptance rate) [ Paper] [ bibtek]
  • Kun Duan, Luca Marchesotti, David Crandall, "Vehicle Recognition with Constrained Multiple Instance SVMs," IEEE Winter Conference on Applications of Computer Vision (WACV), 2014. (Oral and poster, 40% acceptance rate) [ bibtek]
  • Haipeng Zhang, Zhixian Yan, Jun Yang, Emmanuel Munguia Tapia, David Crandall, "mFingerprint: Privacy-preserving user modeling with multimodal mobile device footprints," International Conference on Social Computing, Behavior-Cultural Modeling, & Prediction (SBP), 2014. (Oral, 24% acceptance rate) [ bibtek]
  • Stefan Lee, Sven Bambach, David Crandall, John Franchak, Chen Yu, "This Hand is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video," IEEE Conference on Computer Vision and Pattern Recognition Workshop on Egocentric Vision, 2014. Best paper award winner. (Oral) Best paper award! [ Paper] [ bibtek]
  • Robert Templeman, Roberto Hoyle, David Crandall, Apu Kapadia, "Reactive Security: Responding to Visual Stimuli from Wearable Cameras," Ubicomp Workshop on Usable Privacy and Security for Wearable and Domestic Ubiquitous Devices (UPSIDE), 2014. [ bibtek]
  • Haipeng Zhang, "Analyzing the dynamics between the user-sensed data and the real world," Indiana University, 2014. (Ph.D. Dissertation) [ bibtek]
  • Kun Duan, "Conditional random field models for structured visual object recognition," Indiana University, 2014. (Ph.D. Dissertation) [ bibtek]

2013

  • David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher, "SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2013. (impact factor = 4.795) [ bibtek] [ Project page]
  • Robert Templeman, Zahidur Rahman, David Crandall, Apu Kapadia, "PlaceRaider: Virtual Theft in Physical Spaces with Smartphones," Network and Distributed System Security Symposium (NDSS), 2013. (Oral, 18% acceptance rate) [ Paper] [ bibtek] [ Project page]
  • Sven Bambach, David Crandall, Chen Yu, "Understanding Embodied Visual Attention in Child-Parent Interaction," IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 2013. (Oral, 33% acceptance rate) [ bibtek]
  • Mohammed Korayem, David Crandall, "De-anonymizing users across heterogeneous social computing platforms," AAAI International Conference on Weblogs and Social Media (ICWSM), 2013. (Poster) [ bibtek]
  • Haipeng Zhang, Nish Parikh, Gyanit Singh, Neel Sundaresan, "Chelsea Won, and You Bought a T-shirt: Characterizing the Interplay Between Twitter and E-Commerce," Advances in Social Network Analysis and Mining (ASONAM), 2013. Best paper award! [ bibtek]
  • Jerome Mitchell, David Crandall, Geoffrey Fox, Maryam Rahnemoonfar, John Paden, "A Semi-Automatic Approach for Estimating Bedrock and Surface Layers from Multichannel Coherent Radar Depth Sounder Imagery," SPIE Conference on Remote Sensing, 2013. (Oral) [ bibtek]
  • Jingya Wang, Mohammed Korayem, David Crandall, "Observing the natural world with Flickr," International Conference on Computer Vision Workshop on Computer Vision for Converging Perspectives, 2013. Best paper award winner. (Oral) Best paper award! [ bibtek]
  • Jerome Mitchell, David Crandall, Geoffrey Fox, John Paden, "Automatic Near Surface Estimation from Snow Radar Imagery," IEEE International Geoscience and Remote Sensing Symposium, 2013. (Oral) [ bibtek]

2012

  • David Crandall, Noah Snavely, "Modeling people and places with internet photo collections," Communications of the ACM (CACM), 2012. (impact factor = 2.51) Also appeared in ACM Queue magazine [ Paper] [ bibtek]
  • Kun Duan, Devi Parikh, David Crandall, Kristen Grauman, "Discovering Localized Attributes for Fine-grained Recognition," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. (Poster, 26% acceptance rate) [ bibtek] [ Project page]
  • Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn, "Mining Photo-sharing Websites to Study Ecological Phenomena," International World Wide Web Conference (WWW), 2012. (Oral, 12% acceptance rate) [ bibtek] [ Project page]
  • Kun Duan, Dhruv Batra, David Crandall, "A Multi-layer Composite Model for Human Pose Estimation," British Machine Vision Conference (BMVC), 2012. (Poster, 32% acceptance rate) [ Paper] [ bibtek]
  • David Crandall, Geoffrey Fox, John Paden, "Layer-finding in radar echograms using probabilistic graphical models," IAPR International Conference on Pattern Recognition (ICPR), 2012. (Oral, 15% acceptance rate) [ bibtek] [ Project page]
  • Haipeng Zhang, Mohammed Korayem, Erkang You, David Crandall, "Beyond Co-occurrence: Discovering and Visualizing Tag Relationships from Geo-spatial and Temporal Similarities," ACM International Conference on Web Search and Data Mining (WSDM), 2012. (Oral, 8.3% acceptance rate) [ bibtek] [ Video] [ Project page]
  • Mohammed Korayem, Abdallah Mohamed, David Crandall, Roman Yampolskiy, "Learning visual features for the Avatar Captcha Recognition Challenge," International Conference on Machine Learning Applications (ICMLA), 2012. [ bibtek]
  • Mohammed Korayem, Abdallah Mohamed, David Crandall, Roman Yampolskiy, "Solving Avatar Captchas automatically," International Conference on Advanced Machine Learning Technologies and Applications, 2012. (Oral) [ bibtek]
  • Mohammed Korayem, David Crandall, Muhammad Abdul-Mageed, "Subjectivity and Sentiment Analysis of Arabic: A Survey," International Conference on Advanced Machine Learning Technologies and Applications, 2012. (Poster) [ Paper] [ bibtek]

2011

  • David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher, "Discrete-Continuous Optimization for Large-scale Structure from Motion," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. Best paper runner-up. (Oral, 3.5% acceptance rate) Best paper runner-up! [ bibtek] [ Project page]
  • David Crandall, Noah Snavely, "Networks of Landmarks, Photos, and People," Leonardo, 2011. [ bibtek]

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) [ 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

  • David Crandall, Rangachar Kasturi, "Robust Detection of Stylized Text Events in Digital Video," IAPR International Conference on Document Analysis and Recognition (ICDAR), 2001. [ bibtek]
  • Rangachar Kasturi, Sameer Antani, David Crandall, "A Framework for Reliable Text-Based Indexing of Video," Symposium on Document Image Understanding Technology, 2001. [ bibtek]
  • David Crandall, "Extraction of Unconstrained Caption Text from General-Purpose Video," The Pennsylvania State University, 2001. (M.S. Thesis) [ Paper] [ bibtek]

2000

  • Sameer Antani, David Crandall, Rangachar Kasturi, "Robust Extraction of Text in Video," IAPR International Conference on Pattern Recognition (ICPR), 2000. [ Paper] [ bibtek]
  • Sameer Antani, David Crandall, Anand Narasimamurthy, Vladimir Mariano, Rangachar Kasturi, "Evaluation of Methods for Detection and Localization of Text from Video," IAPR Workshop on Document Analysis Systems, 2000. [ bibtek]

1999

  • Ullas Gargi, David Crandall, Sameer Antani, Tarak Gandhi, Ryan Keener, Rangachar Kasturi, "A System for Automatic Text Detection in Video," IAPR International Conference on Document Analysis and Recognition (ICDAR), 1999. [ bibtek]

  • Juhyung Ha, Vibhas Kumar Vats, Alimoor Reza, Soon-heung Jung, David Crandall, "HVPUNet: Hybrid-Voxel Point-cloud Upsampling Network," @year@. [ bibtek]

By Year

2024

  • Long-Jing Hsu, Philip B. Stafford, Weslie Khoo, Manasi Swaminathan, Kyrie Jig Amon, Hiroki Sato, Kate Tsui, David J. Crandall, and Selma Sabanovic. “Give it time:” Longitudinal Panels Scaffold Older Adults’ Learning and Robot Co-Design. In ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024.
  • Satoshi Tsutsui, Yanwei Fu, and David J. Crandall. Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 46(3):1455–1463, March 2024. (impact factor = 17.861). [pdf]
  • Vibhas K. Vats, Sripad Joshi, David J. Crandall, Md. Alimoor Reza, and Soon-heung Jung. GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2024.
  • Xiaomeng Ye, David Leake, Yu Wang, Ziwei Zhao, and David J. Crandall. Network Implementation of CBR: Case Study of a Neural Network K-NN. In International Conference on Case-based Reasoning (ICCBR), 2024.
  • Zachary Wilkerson, David Leake, Vibhas Vats, and David J. Crandall. Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach. In International Conference on Case-based Reasoning (ICCBR), 2024.
  • Kangsan Lee, Jaehyuk Park, Sam Goree, David J. Crandall, and Yong-Yeol Ahn. Social signals predict contemporary art prices better than visual features, particularly in emerging markets. Scientific Reports, May 2024. (impact factor 4.6).
  • Xizi Wang, Feng Cheng, and Gedas Bertasius. LoCoNet: Long-Short Context Network for Active Speaker Detection. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  • Ziwei Zhao, Yuchen Wang, and Chuhua Wang. Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  • Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina Gonzalez, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelaez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C.V. Jawahar, Richard Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, and Michael Wray. Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  • David Leake, Zachary Wilkerson, and David J. Crandall. Combining Case-Based Reasoning with Deep Learning: Context and Ongoing Case Feature Learning Research. In AAAI Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models, 2024.
  • Long-Ling Hsu, Weslie Khoo, Peter Lenon Goshomi, Philip B. Stafford, Manasi Swaminathan, Kate Tsui, David J. Crandall, and Selma Sabanovic. Is Now a Good Time? Opportune Moments for Interacting with an Ikigai Support Robot. In Companion of the ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024.
  • Manasi Swaminathan, Long-Ling Hsu, Min Min Thant, Kyrie Jig Amon, Anna Kim, Kate Tsui, Selma Sabanovic, David J. Crandall, and Weslie Khoo. If [YourName] can code, so can you! End-user robot programming for non-experts. In Companion of the ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024.

2023

2022

  • Chuhua Wang, Yuchen Wang, Mingze Xu, and David Crandall. Stepwise Goal-Driven Networks for Trajectory Prediction. IEEE Robotics and Automation Letters (RA-L), April 2022. (impact factor = 3.741). [pdf]
  • Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, and Jiebo Luo. Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 4(4):2228–2242, April 2022. (impact factor = 17.861).
  • Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, and Luc Van Gool. Segmenting Objects from Relational Visual Data. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), November 2022. (impact factor = 17.861).
  • Zhenhua Chen, Chuhua Wang, and David Crandall. Semantically Stealthy Adversarial Attacks against Segmentation Models. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2022. (35.0% acceptance rate). [pdf]
  • Zehua Zhang and David Crandall. Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2022. (35.0% acceptance rate). [pdf]
  • Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David Crandall, and Chen Yu. Action Recognition based on Cross-Situational Action-object Statistics. In IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 2022. [pdf]
  • Xiaomeng Ye, David Leake, and David Crandall. Case Adaptation with Neural Networks: Capabilities and Limitations. In International Conference on Case-based Reasoning (ICCBR), 2022. [pdf]
  • David Leake, Zachary Wilkerson, and David Crandall. Extracting Case Indices from Convolutional Neural Networks: A Comparative Study. In International Conference on Case-based Reasoning (ICCBR), 2022. [pdf]
  • Xiaomeng Ye, Ziwei Zhao, David Leake, and David Crandall. Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach. In International Conference on Computational Creativity (ICCC), 2022.
  • Zehua Zhang, David Crandall, Michael Proulx, Sachin Talathi, and Abhishek Sharma. Can Gaze Inform Egocentric Action Recognition? In ACM Symposium on Eye Tracking Research and Applications (ETRA), 2022. [pdf]
  • Vibhas Vats and David Crandall. Controlling the Quality of Distillation in Response-Based Network Compression. In AAAI International Workshop on Practical Deep Learning in the Wild, 2022. [pdf]
  • Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, and Jitendra Malik. Ego4D: Around the World in 3,000 Hours of Egocentric Video. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [pdf]
  • Ziwei Zhao, David Leake, Xiaomeng Ye, and David Crandall. Generating Counterfactual Images: Toward a C2C-VAE Approach. In International Conference on Case-based Reasoning Workshop on Case-Based Reasoning for the Explanation of Intelligent Systems, 2022. [pdf]

2021

2020

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, and Robert Gray. Psychophysical study of image orientation perception. Spatial Vision, 16(5):429–456, 2003. (impact factor = 1.037). [pdf]
  • Jiebo Luo, Amit Singhal, David Crandall, and Robert T. Gray. A Psychophysical Study of Image Orientation Determination. In SPIE Conference on Human Vision and Image Processing, 2003.
  • David Crandall. Initial candidate detection for lung nodule segmentation. Technical Report, Eastman Kodak Company, Rochester, NY, 2003.
  • David Crandall. RegionGT: A segmentation-based ground truth tool. Technical Report, Eastman Kodak Company, Rochester, NY, 2003.
  • David Crandall and Jiebo Luo. Compound Color Object Detection using Spatial-Color Joint Probability Functions. Technical Report, Eastman Kodak Company, Rochester, NY, 2003.

2002

  • David Crandall, Sameer Antani, and Rangachar Kasturi. Extraction of special effects caption text events from digital video. International Journal of Document Analysis and Recognition (IJDAR), 5(2-3):138–157, 2002. (impact factor = 0.800). [pdf]
  • David Crandall and Jiebo Luo. AREA 3.5: Improved Automatic Red Eye Reduction Algorithm based on Improved Segmentation. Technical Report 330555Y, Eastman Kodak Company, Rochester, NY, 2002.
  • David Crandall and Jiebo Luo. Shape-based Segmentation for Detecting Articulated Human Figures in Images. Technical Report 328988D, Eastman Kodak Company, Rochester, NY, 2002.
  • Jiebo Luo, David Crandall, and Amit Singhal. A psychophysical study of image orientation perception. Technical Report 331287B, Eastman Kodak Company, Rochester, NY, 2002.
  • David Crandall. A C++ wavelet decomposition library in IEM. Technical Report 331056F, Eastman Kodak Company, Rochester, NY, 2002.
  • David Crandall. A neural network library in C++, and rudiments of an abstract classifier class. Technical Report 331055E, Eastman Kodak Company, Rochester, NY, 2002.
  • David Crandall. Further lessons learned from the WOO2.1 whole-order orientation algorithm. Technical Report 329189V, Eastman Kodak Company, Rochester, NY, 2002.
  • David Crandall. Guide to training, testing, and using the WOO2.1 whole-order orientation algorithm. Technical Report 329190P, Eastman Kodak Company, Rochester, NY, 2002.

2001

2000

  • Sameer Antani, David Crandall, Anand Narasimamurthy, Vladimir Y. Mariano, and Rangachar Kasturi. Evaluation of Methods for Detection and Localization of Text from Video. In IAPR Workshop on Document Analysis Systems, 2000. [pdf]
  • Sameer Antani, David Crandall, and Rangachar Kasturi. Robust Extraction of Text in Video. In IAPR International Conference on Pattern Recognition (ICPR), 2000. [pdf]
  • S. Antani, David Crandall, V. Mariano, A. Narasimhamurthy, and R. Kasturi. Reliable Extraction of Text in Video. Technical Report CSE-00-022, Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, 2000.

1999

  • Ullas Gargi, David Crandall, Sameer Antani, Tarak Gandhi, Ryan Keener, and Rangachar Kasturi. A System for Automatic Text Detection in Video. In IAPR International Conference on Document Analysis and Recognition (ICDAR), 1999. [pdf]
  • S. Antani, U. Gargi, David Crandall, T. Gandhi, and R. Kasturi. Extraction of Text in Video. Technical Report CSE-99-016, Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, 1999.