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Human Attention in Image Captioning: Dataset and Analysis., , , and . ICCV, page 8528-8537. IEEE, (2019)Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation., , , , , and . WACV, page 5089-5098. IEEE, (2024)A statistics-based performance testing methodology for cloud applications., , , , , and . ESEC/SIGSOFT FSE, page 188-199. ACM, (2019)Image Captioning through Image Transformer, , , , , and . Asian Conference on Computer Vision (ACCV), (November 2020)FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing, , , , , , , , , and . International Conference on Learning Representations (ICLR), (2024)Learning Flow Fields in Attention for Controllable Person Image Generation., , , , , , , , , and 4 other author(s). CoRR, (2024)MarDini: Masked Auto-regressive Diffusion for Video Generation at Scale., , , , , , , , , and 5 other author(s). Trans. Mach. Learn. Res., (2025)Diagnosing and Resolving Android Applications Building Issues: An Empirical Study., , , , , and . CoRR, (November 2025)Harnessing Large Language Model for Virtual Reality Exploration Testing: A Case Study., , , , , and . CoRR, (January 2025)LAA-Net: A Physical-prior-knowledge Based Network for Robust Nighttime Depth Estimation., , , , , , and . CoRR, (2024)