David Crandall

According to our database, David Crandall authored at least 13 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Using manual actions to create visual saliency: an outside-in solution to sustained attention and joint attention.

Jane Yang, Linda Smith, David Crandall, Chen Yu

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning.

Zehua Zhang, David Crandall

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Semantically Stealthy Adversarial Attacks against Segmentation Models.

Zhenhua Chen, Chuhua Wang, David Crandall

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach.

Xiaomeng Ye, Ziwei Zhao, David Leake, David Crandall

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

Case Adaptation with Neural Networks: Capabilities and Limitations.

Xiaomeng Ye, David Leake, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2022

Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction Dataset.

Zachary Wilkerson, David Leake, David Crandall

Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

Extracting Case Indices from Convolutional Neural Networks: A Comparative Study.

David Leake, Zachary Wilkerson, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2022

Can Gaze Inform Egocentric Action Recognition?

Zehua Zhang, David Crandall, Michael J. Proulx, Sachin S. Talathi, Abhishek Sharma

Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

Ego4D: Around the World in 3, 000 Hours of Egocentric Video.

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, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, 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 Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Grounding Action Verbs in Egocentric Visual Perception.

Yayun Zhang, Ellis Cain, David Crandall, Chen Yu

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Human Learners Integrate Visual and Linguistic Information Cross-Situational Verb Learning.

Yayun Zhang, Andrei Amatuni, Ellis Cain, Xizi Wang, David Crandall, Chen Yu

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Modeling joint attention from egocentric vision.

Ryan E. Peters, Andrei Amatuni, Sara E. Schroer, Shujon Naha, David Crandall, Chen Yu

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

In-the-Moment Visual Information from the Infant's Egocentric View Determines the Success of Infant Word Learning: A Computational Study.

Andrei Amatuni, Sara E. Schroer, Yayun Zhang, Ryan E. Peters, Md. Alimoor Reza, David Crandall, Chen Yu

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021