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  1. 16 de feb. de 2023 · From: Jiaxin Cheng [v1] Thu, 16 Feb 2023 14:20:25 UTC (12,501 KB) Full-text links: Access Paper: View a PDF of the paper titled LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation, by Jiaxin Cheng and 4 other authors. View PDF; TeX Source; Other Formats; view ...

  2. 2 de may. de 2019 · Recurrent Convolutional Strategies for Face Manipulation Detection in Videos. Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal, Wael AbdAlmageed, Iacopo Masi, Prem Natarajan. The spread of misinformation through synthetically generated yet realistic images and videos has become a significant problem, calling for robust manipulation detection methods.

  3. 18 de abr. de 2021 · From: Jiaxin Cheng [v1] Sun, 18 Apr 2021 20:02:08 UTC (31,488 KB) Full-text links: Access Paper: View a PDF of the paper titled Style-Aware Normalized Loss for Improving Arbitrary Style Transfer, by Jiaxin Cheng and 4 other authors. View PDF; TeX Source; Other Formats; view license.

  4. 14 de nov. de 2022 · View a PDF of the paper titled Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition, by Jiaxin Ye and 5 other authors View PDF Abstract: Speech emotion recognition (SER) plays a vital role in improving the interactions between humans and machines by inferring human emotion and affective states from speech signals.

  5. open.spotify.com › artist › 74vwxBmyz7lLIqc66kccoIJiaxin Cheng | Spotify

    Listen to Jiaxin Cheng on Spotify. Artist · 10.9K monthly listeners. Preview of Spotify. Sign up to get unlimited songs and podcasts with occasional ads.

  6. Jun Cheng; Computational electrochemistry, an important branch of electrochemistry, has shown its advantages in studying electrode/electrolyte interfaces, ...

  7. 27 de ago. de 2021 · View a PDF of the paper titled SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation, by Jiaxin Cheng and 3 other authors View PDF Abstract: Unlike conventional zero-shot classification, zero-shot semantic segmentation predicts a class label at the pixel level instead of the image level.