David Crandall

54 papers A* 4A 4B 6C 7Journal 27Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BehaviorKit: A Multi-modal Real-Time Behavior Analysis Library for Robots. HRI William Valentine, Selma Sabanovic, David Crandall, Weslie Khoo
2026	—	`conf`	Ghost in the Machine: Exploring Designed Fear in HRI. HRI Companion Brandon Connor, William Valentine, Long-Jing Hsu, Waki Kamino, Selma Sabanovic, David Crandall, Weslie Khoo
2026	—	`conf`	Meet IRIS: An Interactive Robotic Experience for Exploring Life Purpose. HRI Companion Weslie Khoo, Long-Jing Hsu, William Valentine, Brandon Connor, Tao Yat Kong, Amous Khoo, Waki Kamino, Selma Sabanovic, David Crandall
2025	A*	`conf`	Bittersweet Snapshots of Life: Designing to Address Complex Emotions in a Reminiscence Interaction between Older Adults and a Robot. CHI Long-Jing Hsu, Manasi Swaminathan, Weslie Khoo, Kyrie Jig Amon, Hiroki Sato, Sathvika Dobbala, Kate Tsui, David Crandall, Selma Sabanovic
2025	J	`jnl`	Blending 3D Geometry and Machine Learning for Multi-View Stereopsis. CoRR Vibhas Vats, Md. Alimoor Reza, David Crandall, Soon-Heung Jung
2025	J	`jnl`	Blending 3D geometry and machine learning for multi-view stereopsis. Neurocomputing Vibhas Vats, Md. Alimoor Reza, David Crandall, Soon-Heung Jung
2025	—	`conf`	Bridging Human Intuition and AI in Colorful Food Assessment. CHI Extended Abstracts Weslie Khoo, Long-Jing Hsu, Frangil M. Ramirez, Liang Jhen Huang, Trisha Konkimalla, Chia-Fang Chung, David Crandall
2025	J	`jnl`	Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. Int. J. Comput. Vis. Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt 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 González, 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 K. 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 Arbeláez, Gedas Bertasius, David Crandall, Dima Damen, Jakob Julian Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray
2025	J	`jnl`	Ego4D: Around the World in 3,600 Hours of Egocentric Video. IEEE Trans. Pattern Anal. Mach. Intell. 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 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 K. 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
2025	J	`jnl`	EgoVIS@CVPR: What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning. CoRR Chi-Hsi Kung, Frangil Ramirez, Juhyung Ha, Yi-Ting Chen, David Crandall, Yi-Hsuan Tsai
2025	C	`conf`	Extracting Features with Deep Learning for Ensemble-Driven Case-Based Classification. ICCBR Zachary Wilkerson, David Leake, David Crandall, Benjamin Wilkerson
2025	J	`jnl`	Geometric Constraints in Deep Learning Frameworks: A Survey. ACM Comput. Surv. Vibhas K. Vats, David Crandall
2025	J	`jnl`	Guest Editorial Introduction to the Special Issue on Segment Anything for Videos and Beyond. IEEE Trans. Circuits Syst. Video Technol. Wenguan Wang, Hengshuang Zhao, Xinggang Wang, Fisher Yu, David Crandall
2025	—	`conf`	Human-Centered Evaluation of Aesthetic Quality Assessment Models Using a Smartphone Camera Application. FAccT Samuel Goree, Jackson Domingo, David Crandall
2025	C	`conf`	Learning Case Features with Proxy-Guided Deep Neural Networks. ICCBR Vibhas Vats, Zachary Wilkerson, Hiroki Sato, David Leake, David Crandall
2025	A	`conf`	Multi-Resolution Guided 3D GANs for Medical Image Translation. WACV Juhyung Ha, Jong Sung Park, David Crandall, Eleftherios Garyfallidis, Xuhong Zhang
2025	J	`jnl`	PROFUSEme: PROstate Cancer Biochemical Recurrence Prediction via FUSEd Multi-modal Embeddings. CoRR Suhang You, Carla Pitarch-Abaigar, Sanket Kachole, Sumedh Sonawane, Juhyung Ha, Anish Sudarshan Gada, David Crandall, Rakesh Shiradkar, Spyridon Bakas
2025	—	`conf`	PSegGAN: Pseudo-Segmentation-Guided GANs for Brain Tissue Inpainting. BraTS-Lighthouse/AIMS-TBI@MICCAI (2) Juhyung Ha, Jong Sung Park, Jiyeong Oh, David Crandall
2025	A	`conf`	Research as Care: A Reflection on Incorporating the Ethics of Care in Design Research with People Living with Dementia. Conference on Designing Interactive Systems Long-Jing Hsu, Janice K. Bays, Manasi Swaminathan, Weslie Khoo, Hiroki Sato, Kyrie Jig Amon, Sathvika Dobbala, Min Min Thant, Alex Foster, Kate Tsui, Philip B. Stafford, David Crandall, Selma Sabanovic
2025	A*	`conf`	Run Like a Neural Network, Explain Like k-Nearest Neighbor. IJCAI Xiaomeng Ye, David Leake, Yu Wang, David Crandall
2025	J	`jnl`	Sequence-Based Identification of First-Person Camera Wearers in Third-Person Views. CoRR Ziwei Zhao, Xizi Wang, Yuchen Wang, Feng Cheng, David Crandall
2025	J	`jnl`	Transformer for Object Re-identification: A Survey. Int. J. Comput. Vis. Mang Ye, Shuoyi Chen, Chenyue Li, Wei-Shi Zheng, David Crandall, Bo Du
2025	J	`jnl`	What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning. CoRR Chi-Hsi Kung, Frangil Ramirez, Juhyung Ha, Yi-Ting Chen, David Crandall, Yi-Hsuan Tsai
2024	J	`jnl`	Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper. Proc. ACM Hum. Comput. Interact. Samuel Goree, Gabriel Appleby, David Crandall, Norman Makoto Su
2024	C	`conf`	Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach. ICCBR Zachary Wilkerson, David Leake, Vibhas Vats, David Crandall
2024	J	`jnl`	Multi-resolution Guided 3D GANs for Medical Image Translation. CoRR Juhyung Ha, Jong Sung Park, David Crandall, Eleftherios Garyfallidis, Xuhong Zhang
2024	C	`conf`	Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm. ICCBR Xiaomeng Ye, David Leake, Yu Wang, Ziwei Zhao, David Crandall
2024	J	`jnl`	Transformer for Object Re-Identification: A Survey. CoRR Mang Ye, Shuoyi Chen, Chenyue Li, Wei-Shi Zheng, David Crandall, Bo Du
2023	J	`jnl`	"It Was Really All About Books:" Speech-like Techno-Masculinity in the Rhetoric of Dot-Com Era Web Design Books. ACM Trans. Comput. Hum. Interact. Samuel Goree, David Crandall, Norman Makoto Su
2023	J	`jnl`	A Tensor-based Convolutional Neural Network for Small Dataset Classification. CoRR Zhenhua Chen, David Crandall
2023	J	`jnl`	LoCoNet: Long-Short Context Network for Active Speaker Detection. CoRR Xizi Wang, Feng Cheng, Gedas Bertasius, David Crandall
2023	J	`jnl`	SePaint: Semantic Map Inpainting via Multinomial Diffusion. CoRR Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu
2023	J	`jnl`	Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision. CoRR Samuel Goree, David Crandall
2023	B	`conf`	Using manual actions to create visual saliency: an outside-in solution to sustained attention and joint attention. CogSci Jane Yang, Linda Smith, David Crandall, Chen Yu
2022	B	`conf`	Can Gaze Inform Egocentric Action Recognition? ETRA Zehua Zhang, David Crandall, Michael J. Proulx, Sachin S. Talathi, Abhishek Sharma
2022	C	`conf`	Case Adaptation with Neural Networks: Capabilities and Limitations. ICCBR Xiaomeng Ye, David Leake, David Crandall
2022	A*	`conf`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 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 K. 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
2022	C	`conf`	Extracting Case Indices from Convolutional Neural Networks: A Comparative Study. ICCBR David Leake, Zachary Wilkerson, David Crandall
2022	C	`conf`	Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach. ICCC Xiaomeng Ye, Ziwei Zhao, David Leake, David Crandall
2022	J	`jnl`	Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds. CoRR Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, Ruigang Yang
2022	B	`conf`	Grounding Action Verbs in Egocentric Visual Perception. CogSci Yayun Zhang, Ellis Cain, David Crandall, Chen Yu
2022	A	`conf`	Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. WACV Zehua Zhang, David Crandall
2022	—	`conf`	Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction Dataset. ICCBR Workshops Zachary Wilkerson, David Leake, David Crandall
2022	J	`jnl`	Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition. CoRR Satoshi Tsutsui, Yanwei Fu, David Crandall
2022	A	`conf`	Semantically Stealthy Adversarial Attacks against Segmentation Models. WACV Zhenhua Chen, Chuhua Wang, David Crandall
2022	J	`jnl`	Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks. IEEE Trans. Pattern Anal. Mach. Intell. Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo
2021	J	`jnl`	A Survey on Deep Learning Technique for Video Segmentation. CoRR Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool
2021	J	`jnl`	Controlling the Quality of Distillation in Response-Based Network Compression. CoRR Vibhas Vats, David Crandall
2021	J	`jnl`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR 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 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 K. Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, 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
2021	B	`conf`	Human Learners Integrate Visual and Linguistic Information Cross-Situational Verb Learning. CogSci Yayun Zhang, Andrei Amatuni, Ellis Cain, Xizi Wang, David Crandall, Chen Yu
2021	B	`conf`	In-the-Moment Visual Information from the Infant's Egocentric View Determines the Success of Infant Word Learning: A Computational Study. CogSci Andrei Amatuni, Sara E. Schroer, Yayun Zhang, Ryan E. Peters, Md. Alimoor Reza, David Crandall, Chen Yu
2021	B	`conf`	Modeling joint attention from egocentric vision. CogSci Ryan E. Peters, Andrei Amatuni, Sara E. Schroer, Shujon Naha, David Crandall, Chen Yu
2021	J	`jnl`	Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. CoRR Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu
2020	J	`jnl`	Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. CoRR Zehua Zhang, David Crandall