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Exploiting Features - Locally Interleaved Sequential Alignment for Object Detection.

, , and . ACCV (1), volume 7724 of Lecture Notes in Computer Science, page 446-459. Springer, (2012)

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Artificial Dummies for Urban Dataset Augmentation., , , , and . AAAI, page 2692-2700. AAAI Press, (2021)Yes, we GAN: Applying adversarial techniques for autonomous driving., , , , , and . Autonomous Vehicles and Machines, page 1-17. Society for Imaging Science and Technology, (2019)Challenges in Designing Datasets and Validation for Autonomous Driving., , , and . VISIGRAPP (5: VISAPP), page 653-659. SciTePress, (2019)Advanced Pedestrian Dataset Augmentation for Autonomous Driving., , , and . ICCV Workshops, page 2367-2372. IEEE, (2019)Exploiting Features - Locally Interleaved Sequential Alignment for Object Detection., , and . ACCV (1), volume 7724 of Lecture Notes in Computer Science, page 446-459. Springer, (2012)Teachers in concordance for pseudo-labeling of 3D sequential data., , , , , and . CoRR, (2022)Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation., , , , , , and . ECCV (38), volume 13698 of Lecture Notes in Computer Science, page 478-495. Springer, (2022)Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras., , , , , , , and . ICCV Workshops, page 4273-4279. IEEE, (2019)Let It Flow: Simultaneous Optimization of 3D Flow and Object Clustering., , , and . CoRR, (2024)Artificial Dummies for Urban Dataset Augmentation., , , , and . CoRR, (2020)