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Semantically-Guided Representation Learning for Self-Supervised Monocular Depth.

, , , , and . ICLR, OpenReview.net, (2020)

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SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation., , and . ICRA, page 9250-9256. IEEE, (2019)Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances., , , , and . CoRL, volume 100 of Proceedings of Machine Learning Research, page 503-512. PMLR, (2019)Depth Field Networks for Generalizable Multi-view Scene Representation., , , , , , and . CoRR, (2022)NeRFuser: Large-Scale Scene Representation by NeRF Fusion., , , , , , , and . CoRR, (2023)Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion., , , and . CVPR, page 11078-11088. Computer Vision Foundation / IEEE, (2021)3D Packing for Self-Supervised Monocular Depth Estimation., , , , and . CVPR, page 2482-2491. Computer Vision Foundation / IEEE, (2020)Understanding Video Transformers via Universal Concept Discovery., , , , , and . CoRR, (2024)ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking., , and . CoRR, (2023)ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking., , , and . CoRR, (2022)Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement., , , , , , , , , and . CoRR, (2022)