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MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization.

, , , and . ICRA, page 5126-5132. IEEE, (2021)

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MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization., , , and . ICRA, page 5126-5132. IEEE, (2021)TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?, , , , , and . NeurIPS, page 21808-21820. (2021)Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection., , , and . NeurIPS, page 1317-1329. (2018)A Shared Representation for Photorealistic Driving Simulators., , , and . CoRR, (2021)Detecting 32 Pedestrian Attributes for Autonomous Vehicles., , , and . CoRR, (2020)A generic diffusion-based approach for 3D human pose prediction in the wild., , , , , , and . CoRR, (2022)End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection., , , and . Int. J. Comput. Vis., 127 (11-12): 1659-1679 (2019)Toward Reliable Human Pose Forecasting with Uncertainty., , , , , , , , and . CoRR, (2023)Learning Decoupled Representations for Human Pose Forecasting., , , , and . ICCVW, page 2294-2303. IEEE, (2021)Detecting 32 Pedestrian Attributes for Autonomous Vehicles., , , and . IEEE Trans. Intell. Transp. Syst., 23 (8): 11823-11835 (2022)