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David J. Crandall

Adversarial Attack in the Context of Self-driving



Zhenhua Chen , Chuhua Wang , David J. Crandall

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Stepwise Goal-Driven Networks for Trajectory Prediction



Chuhua Wang , Yuchen Wang , Mingze Xu , David J. Crandall

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



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

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* Accepted by ECCV20 
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Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems



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

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* To appear on ICRA 2019 
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Unsupervised Traffic Accident Detection in First-Person Videos



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

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* In submission to IROS 2019 
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Temporal Recurrent Networks for Online Action Detection



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

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Minimizing Supervision for Free-space Segmentation



Satoshi Tsutsui , Tommi Kerola , Shunta Saito , David J. Crandall

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* Accepted for CVPR workshop WAD2018 
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A Study of Cross-domain Generative Models applied to Cartoon Series



Eman T. Hassan , David J. Crandall

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A Unified Model for Near and Remote Sensing



Scott Workman , Menghua Zhai , David J. Crandall , Nathan Jacobs

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* International Conference on Computer Vision (ICCV) 2017 
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