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Rening Image Representation With Click-Through Data", to appear in going to submmit in arXiv. Research Experience Research Assistant, Seppresent Communication and Multimedia Lab (CMLab), NTU Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details from low resolution image with hints in crawled web images. Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet. Proposed a multimodal CNN achieving high fine-grained classification accuracy. The model was trained with

technology. 5. Research MLOPS Technical Senior Manager • Wistron 九月七月 2021 I'm currently leading a group and working on image processing and deep learning, here's a brief introduction: 1. Detecting small objects in High-resolution images: we use deep learning to identify small eggs on High-resolution images: -This project is from a government unit used to quickly screen/count dengue eggs. - The work content includes the design and development of image modules and back-end APIs, as well as Docker. - 10x increase in efficiency (10 mi...