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Babaee, Ma.; Athar, A.; Rigol, G.
Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification
2018
Lindemann, P.; Lee, T.; Rigoll, G.
Supporting Driver Situation Awareness for Autonomous Urban Driving with an Augmented-Reality Windshield Display
pp. 358 - 363
International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
2018
Lindemann, P.; Lee, T.; Rigoll, G.
An Explanatory Windshield Display Interface with Augmented Reality Elements for Urban Autonomous Driving
pp. 36-37
International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
2018
Köpüklü, O.; Rigoll, G.
Analysis on Temporal Dimension of Inputs for 3D Convolutional Neural Networks
Proc. Conference on Image Processing, Applications and Systems (IPAS 2018)
2018
Startsev, M.; Agtzidis,I.; Dorr, M.
1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits
Behavior Research Methods
2018
Nov
pp. 1-17
Babaee, Ma.; Li, L.; Rigoll, G.
Gait Recognition from Incomplete Gait Cycle
pp. 768-772
Proc. 25th IEEE International Conference on Image Processing (ICIP)
2018
Babaee, Ma.; Li, Z.; Rigoll, G.
Occlusion Handling in Tracking Multiple People Using RNN
pp. 2715-2719
Proc. 25th IEEE International Conference on Image Processing (ICIP)
2018
Lindemann, P.; Lee, T.-Y.; Rigoll, G.
Catch My Drift: Elevating Situation Awareness for Highly Automated Driving with an Explanatory Windshield Display User Interface
Multimodal Technologies and Interaction
2018
Vol. 2, No. 4
Article No. 71
Startsev, M.; Agtzidis,I.; Dorr, M.
Deep learning vs. manual annotation of eye movements
Article No. 101
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA 18)
2018
Startsev, M.; Dorr, M.
Supersaliency: Predicting Smooth Pursuit-Based Attention with Slicing CNNs Improves Fixation Prediction for Naturalistic Videos
2018
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