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David J. Crandall

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GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo

Oct 30, 2023
Vibhas K. Vats, Sripad Joshi, David J. Crandall, Md. Alimoor Reza, Soon-heung Jung

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Adversarial Attack in the Context of Self-driving

Apr 05, 2021
Zhenhua Chen, Chuhua Wang, David J. Crandall

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Stepwise Goal-Driven Networks for Trajectory Prediction

Mar 25, 2021
Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall

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Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification

Jul 18, 2020
Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo

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Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

Mar 03, 2019
Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush

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Unsupervised Traffic Accident Detection in First-Person Videos

Mar 02, 2019
Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins

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Temporal Recurrent Networks for Online Action Detection

Nov 18, 2018
Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, David J. Crandall

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Minimizing Supervision for Free-space Segmentation

Apr 18, 2018
Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David J. Crandall

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A Study of Cross-domain Generative Models applied to Cartoon Series

Sep 29, 2017
Eman T. Hassan, David J. Crandall

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