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Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition.

, , , , and . FG, page 356-363. IEEE, (2020)

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Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers., , , , and . NeurIPS, (2022)LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild., , , , , , , , and . FG, page 1-8. IEEE, (2019)LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration., , , , , , and . WACV, page 2657-2667. IEEE, (2024)GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings., , and . ICLR, OpenReview.net, (2024)Deformation Flow Based Two-Stream Network for Lip Reading., , , , and . FG, page 364-370. IEEE, (2020)MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction., , , , , , , , , and 3 other author(s). NeurIPS, (2022)MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction., , , , , , , , , and 3 other author(s). CoRR, (2023)Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition., , , , and . FG, page 356-363. IEEE, (2020)