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个人简介
My research centers around Deep-Learning and its applications to Computer-Vision (object/scene recognition, retrieval, detection segmentation, etc.) and Multimedia (cross-modal retrieval, bi-modal classification, image captioning, etc.). Specifically, in my post-doc I am interested in building deep-learning based food recognition systems and applying them on social media data in order to understand health habits of pupulations. During my PhD, I was interested by learning image representations using Deep Convolutional Neural Networks (DCNNs) in order to re-use them (through a transfer-learning scheme) when facing with small datasets that contains too few images and/or classes to learn representations from scratch. The learning of these image-representations is based on the unsupervised generative aspect of DCNNs which is quite powerful but complex, making it hard to understand and thus very hard to control as we want.
Keywords: Deep-Learning, Machine-Learning, Computer-Vision, Multimedia-modelling.
Keywords: Deep-Learning, Machine-Learning, Computer-Vision, Multimedia-modelling.
研究兴趣
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Day 1 Mon, October 31, 2022 (2022)
IMAGE ANALYSIS (2019): 3-15
NAACL-HLT (1) (2019): 4107-4112
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019): 7994-8003
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