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LiDAR-Video Driving Dataset: Learning Driving Policies Effectively.

, , , , , , and . CVPR, page 5870-5878. Computer Vision Foundation / IEEE Computer Society, (2018)

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Learning Fast Matching Models from Weak Annotations., , , , , , , and . WWW, page 2985-2991. ACM, (2019)WGNet: Wider graph convolution networks for 3D point cloud classification with local dilated connecting and context-aware., , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)IDA-Net: Intensity-distribution aware networks for semantic segmentation of 3D MLS point clouds in indoor corridor environments., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods., , , and . SemEval@ACL/IJCNLP, page 1130-1134. Association for Computational Linguistics, (2021)Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency., , , , , , , , , and . ICCV, page 8846-8855. IEEE, (2021)Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors., , , , , and . CoRR, (2022)TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection., , , , , and . CoRR, (2022)Challenge report Recognizing Families In the Wild Data Challenge., , , and . FG, page 868-871. IEEE, (2020)Hierarchical Active Learning with Proportion Feedback on Regions., and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 464-480. Springer, (2018)Region-Based Active Learning with Hierarchical and Adaptive Region Construction., and . SDM, page 441-449. SIAM, (2019)