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Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction



Lingfeng Sun , Chen Tang , Yaru Niu , Enna Sachdeva , Chiho Choi , Teruhisa Misu , Masayoshi Tomizuka , Wei Zhan


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Driving Anomaly Detection Using Conditional Generative Adversarial Network



Yuning Qiu , Teruhisa Misu , Carlos Busso

* 15 pages, 14 figures, 6 tables 

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Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow



Kaihong Wang , Kumar Akash , Teruhisa Misu


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Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method



Wenda Qin , Teruhisa Misu , Derry Wijaya

* 7 pages 

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Clustering Human Trust Dynamics for Customized Real-time Prediction



Jundi Liu , Kumar Akash , Teruhisa Misu , Xingwei Wu

* To be published in 2021 IEEE 24rd International Conference on Intelligent Transportation Systems (ITSC) 

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Toward Adaptive Trust Calibration for Level 2 Driving Automation



Kumar Akash , Neera Jain , Teruhisa Misu

* 10 pages, 8 figures 

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Grounding Human-to-Vehicle Advice for Self-driving Vehicles



Jinkyu Kim , Teruhisa Misu , Yi-Ting Chen , Ashish Tawari , John Canny

* IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019 

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Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data



Vidyasagar Sadhu , Teruhisa Misu , Dario Pompili

* 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1-8 
* IROS 2019, 8 pages 

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Unsupervised Data Uncertainty Learning in Visual Retrieval Systems



Ahmed Taha , Yi-Ting Chen , Teruhisa Misu , Abhinav Shrivastava , Larry Davis


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In Defense of the Triplet Loss for Visual Recognition



Ahmed Taha , Yi-Ting Chen , Teruhisa Misu , Larry Davis


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