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DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework.

, , , , and . FG, page 77-84. IEEE, (2020)

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Resource Efficient 3D Convolutional Neural Networks., , , and . ICCV Workshops, page 1910-1919. IEEE, (2019)Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization., , , , and . ECCV Workshops (5), volume 13805 of Lecture Notes in Computer Science, page 443-458. Springer, (2022)Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition., , and . CoRR, (2018)DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework., , , , and . FG, page 77-84. IEEE, (2020)Online Dynamic Hand Gesture Recognition Including Efficiency Analysis., , , and . IEEE Trans. Biom. Behav. Identity Sci., 2 (2): 85-97 (2020)DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis., , , , , , , and . ECCV Workshops (4), volume 12538 of Lecture Notes in Computer Science, page 387-405. Springer, (2020)Using High Performance Computing in Vehicles to Create Image Datasets for Deep Learning., , and . MIPRO, page 1001-1006. IEEE, (2019)Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach., , , and . ITSC, page 3236-3242. IEEE, (2019)Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks., , , and . FG, page 1-8. IEEE, (2019)BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture., , , , , , , , and . BMVC, page 792-797. BMVA Press, (2023)