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Destruction and Construction Learning for Fine-Grained Image Recognition., , , and . CVPR, page 5157-5166. Computer Vision Foundation / IEEE, (2019)Directional Self-supervised Learning for Heavy Image Augmentations., , , and . CVPR, page 16671-16680. IEEE, (2022)Responsive Listening Head Generation: A Benchmark Dataset and Baseline., , , , , and . ECCV (38), volume 13698 of Lecture Notes in Computer Science, page 124-142. Springer, (2022)Improve dog recognition by mining more information from both click-through logs and pre-trained models., , , , , and . ICME Workshops, page 1-4. IEEE Computer Society, (2016)RC-NET: A General Framework for Incorporating Knowledge into Word Representations., , , , , , and . CIKM, page 1219-1228. ACM, (2014)Augmentation Pathways Network for Visual Recognition., , , , , and . CoRR, (2021)Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data., , , , and . ICLR (Workshop Poster), (2014)Automatic Dataset Augmentation., , , and . CoRR, (2017)Visual-Aware Text-to-Speech*., , , , , and . ICASSP, page 1-5. IEEE, (2023)Learning and Evaluating Human Preferences for Conversational Head Generation., , , , , and . ACM Multimedia, page 9615-9619. ACM, (2023)