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David Crandall

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Deep Tiered Image Segmentation forDetecting Internal Ice Layers in Radar Imagery

Oct 08, 2020
Yuchen Wang, Mingze Xu, John Paden, Lora Koenig, Geoffrey Fox, David Crandall

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A Computational Model of Early Word Learning from the Infant's Point of View

Jun 04, 2020
Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza, David Crandall, Chen Yu

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When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Apr 06, 2020
Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Ella Atkins, David Crandall

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HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation

Mar 31, 2020
Bardia Doosti, Shujon Naha, Majid Mirbagheri, David Crandall

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Interaction Graphs for Object Importance Estimation in On-road Driving Videos

Mar 12, 2020
Zehua Zhang, Ashish Tawari, Sujitha Martin, David Crandall

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Learning Video Object Segmentation from Unlabeled Videos

Mar 10, 2020
Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven C. H. Hoi

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Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

Jan 19, 2020
Wenguan Wang, Xiankai Lu, Jianbing Shen, David Crandall, Ling Shao

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P-CapsNets: a General Form of Convolutional Neural Networks

Dec 18, 2019
Zhenhua Chen, Xiwen Li, Chuhua Wang, David Crandall

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Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition

Nov 17, 2019
Satoshi Tsutsui, Yanwei Fu, David Crandall

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A Self Validation Network for Object-Level Human Attention Estimation

Oct 31, 2019
Zehua Zhang, Chen Yu, David Crandall

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