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Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation.

, , и . ECCV (15), том 11219 из Lecture Notes in Computer Science, стр. 125-141. Springer, (2018)

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Shahla Mahdizadeh

Enayetollah Rad

Ulrich Rad

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Другие публикации лиц с тем же именем

Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images., , и . CoRR, (2017)ALCN: Meta-Learning for Contrast Normalization Applied to Robust 3D Pose Estimation., , и . CoRR, (2017)ALCN: Adaptive Local Contrast Normalization., , и . Comput. Vis. Image Underst., (2020)BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth., и . ICCV, стр. 3848-3856. IEEE Computer Society, (2017)Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation., , и . ECCV (15), том 11219 из Lecture Notes in Computer Science, стр. 125-141. Springer, (2018)HandsFormer: Keypoint Transformer for Monocular 3D Pose Estimation ofHands and Object in Interaction., , , и . CoRR, (2021)MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans., , , и . ICCV, стр. 16014-16023. IEEE, (2021)Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation., , , и . CVPR, стр. 11080-11090. IEEE, (2022)Adaptive Local Contrast Normalization for Robust Object Detection and Pose Estimation., , и . BMVC, BMVA Press, (2017)Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images., , и . CVPR, стр. 4663-4672. Computer Vision Foundation / IEEE Computer Society, (2018)