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Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization.

, , , , , , , , , and . CoRR, (2020)

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Modeling Uncertainty with Hedged Instance Embeddings., , , , , and . ICLR (Poster), OpenReview.net, (2019)DeepLab2: A TensorFlow Library for Deep Labeling., , , , , , , , , and 5 other author(s). CoRR, (2021)Modeling Uncertainty with Hedged Instance Embedding., , , , , and . CoRR, (2018)Distilling Vision-Language Models on Millions of Videos., , , , , , , , , and 2 other author(s). CoRR, (2024)Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization., , , , , , , , , and . CVPR, page 12793-12802. Computer Vision Foundation / IEEE, (2021)View-Invariant Probabilistic Embedding for Human Pose., , , , , and . CoRR, (2019)Unified Visual Relationship Detection with Vision and Language Models., , , , , , , and . ICCV, page 6939-6950. IEEE, (2023)FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation., , , , , and . CVPR, page 9481-9490. Computer Vision Foundation / IEEE, (2019)Pose, illumination and expression invariant pairwise face-similarity measure via Doppelgänger list comparison., , , and . ICCV, page 2494-2501. IEEE Computer Society, (2011)View-Invariant Probabilistic Embedding for Human Pose., , , , , and . ECCV (5), volume 12350 of Lecture Notes in Computer Science, page 53-70. Springer, (2020)