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Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception., , , , , , , , и . ICLR, OpenReview.net, (2022)Research on Text Mining of JD Commodity Review Information Based on NLP., , , и . CSAE, стр. 22:1-22:6. ACM, (2023)Pre-Training LiDAR-Based 3D Object Detectors Through Colorization., , , , , , , , , и . CoRR, (2023)Unsupervised Adaptation from Repeated Traversals for Autonomous Driving., , , , , , , и . CoRR, (2023)End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection., , , , , , , , и . CVPR, стр. 5880-5889. Computer Vision Foundation / IEEE, (2020)Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving., , , , , , , и . ICLR, OpenReview.net, (2020)Simple Black-box Adversarial Attacks., , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 2484-2493. PMLR, (2019)Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection., , , , , , и . CoRR, (2021)Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking., , , , , , , , , и 4 other автор(ы). ICRA, стр. 366-373. IEEE, (2022)Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery., , , , , , , , , и . CoRR, (2023)