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DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation.

, , , , , , , and . IEEE Robotics Autom. Lett., 6 (4): 6616-6623 (2021)

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Attention Mechanisms for Object Recognition With Event-Based Cameras., , , and . WACV, page 1127-1136. IEEE, (2019)Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A., , and . LOD, volume 13163 of Lecture Notes in Computer Science, page 596-610. Springer, (2021)A Differentiable Recurrent Surface for Asynchronous Event-Based Data., , , and . ECCV (20), volume 12365 of Lecture Notes in Computer Science, page 136-152. Springer, (2020)Attention Mechanisms for Object Recognition with Event-Based Cameras., , , and . CoRR, (2018)E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition., , , , , , and . CoRR, (2021)Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras., , , and . CVPR Workshops, page 1656-1665. Computer Vision Foundation / IEEE, (2019)SoftCut: A Fully Differentiable Relaxed Graph Cut Approach for Deep Learning Image Segmentation., , and . LOD (1), volume 14505 of Lecture Notes in Computer Science, page 497-511. Springer, (2023)Learning efficient and effective representations for event-based cameras.. Polytechnic University of Milan, Italy, (2022)Spatial Temporal Transformer Network for Skeleton-Based Action Recognition., , and . ICPR Workshops (3), volume 12663 of Lecture Notes in Computer Science, page 694-701. Springer, (2020)Mitigating Motion Blur in Neural Radiance Fields with Events and Frames., and . CoRR, (2024)