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I am a PhD candidate at Northeastern University, where I work on computer vision and machine learning in SmileLab advised by 在线伕理服务器免费网页版. I am early member of an AI beauty startup company Giaran, Inc., which was acquired by Shiseido Americas in Nov. 2017 (国外伕理服务器ip免费). I received my masters degree at the University of Michigan and my bachelors at The Hong Kong Polytechnic University. I am also a skilled astronomy and landscape photographer, and here is my Little Gallery Email / CV / GitHub / LinkedIn / Gallery / Blog |
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I'm interested in computer vision, machine learning, image processing, and computational photography. Much of my research is about human faces and pose estimation. |
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Video-based Multi-person Pose Estimation and Tracking. Under development and construction. Inferencing model provided on GitHub. |
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国内透明免费HTTP伕理IP - 快伕理:2021-6-15 · 注：表中响应速度是中国测速服务器的测试数据，仅供参考。响应速度根据你机器所在的地理位置不同而有差异。 声明： 免费伕理是第三方伕理服务器，收集自互联网，并非快伕理所有，快伕理不对免费伕理的有效性负责。 请合法使用免费伕理，由用户使用免费伕理带来的法律责任与快伕理无关。 |
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Image generation has raised tremendous attention in both academic and industrial areas, especially for criminal portrait and fashion design. The current studies always focus on class labels as the condition where spatial contents are randomly generated. The edge details and spatial information is usually blurred and difficult to preserve. In light of this, we propose a novel Spatially Constrained Generative Adversarial Network , which decouples the spatial constraints from the latent vector and makes them feasible as additional controllable signals. Experimentally, we provide both visual and quantitive results, and demonstrate that the proposed SCGAN is very effective in controlling the spatial contents as well as generating high-quality images. |
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Recently image-to-image translation methods neglect to utilize higher-level and instance-specific information to guide the training process, leading to a great deal of unrealistic generated images of low quality. Existing methods also lack of spatial controllability during translation. To address these challenge, we propose a novel Segmentation Guided Generative Adversarial Networks, which leverages semantic segmentation to further boost the generation performance and provide spatial mapping. Experimental results on multi-domain face image translation task empirically demonstrate our ability of the spatial modification and our superiority in image quality over several state-of-the-art methods. |
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Facial makeup style plays a key role in the facial appearance making it more beautiful and attractive. Choosing the best makeup style for a certain face to fit a certain occasion is a full art. To solve this problem computationally, an automatic and smart facial makeup recommendation and synthesis system is proposed in this paper. Additionally, an automatic facial makeup synthesis system is developed to apply the recommended style on the facial image as well. To this end, a new dataset with 961 different females photos collected and labeled. |
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win2021服务器asp.net权限设置问题及解决方法_IDC香港:2 天前 · ASP.NET相对于ASP,设置权限方面有点不同，有一点儿设置错了都运行不到。ASP.NET需要用到USERS组的权限，有时设置了权限之后发现网站运行不了，下面根据出现的问题，一点点解决，让你的 |
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This website is generated using source code from Jon Barron. |