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Li Yang Ku
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Li Ku, Li Y. Ku, Gooly
Li Ku, Li Y. Ku, Gooly

145 followers
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by Li Yang Ku (Gooly) In my previous post, I mentioned the obstacles when applying deep learning techniques directly to robotics. First, training data is harder to acquire; Second, interacting with the world is not just a classification problem. In this…

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by Li Yang Ku (Gooly) In 2012 I started a list on the most cited papers in the field of computer vision. I try to keep the list focus on researches that relate to understanding this visual world and avoid image processing, survey, and pure statistic…

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by Li Yang Ku (Gooly) As I mentioned in my previous post, Deep Learning and Convolutional Neural Networks (CNNs) have gained a lot of attention in the field of computer vision and outperformed other algorithms on many benchmarks. However, applying these…

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by Li Yang Ku (Gooly) CNN-based features will likely replace engineered representations such as SIFT and HOG, yet we know little on what it represents. In this post I will go through a few papers that dive deeper into CNN-based features and discuss…

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by Li Yang Ku (Gooly) Well, right, nowadays it is just hard not to talk about Deep Learning and Convolutional Neural Networks (CNN) in the field of Computer Vision. Since 2012 when the neural network trained by two of Geoffrey Hinton’s students, Alex…

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by Li Yang Ku (Gooly) The idea that our brain encodes visual stimulus in two separate regions based on whether it contains information about the object location or identification was first proposed by Schneider in 1969. In 1982 Ungerleider and Mishkin…

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by Li Yang Ku (Gooly) Unsupervised clustering algorithms such as K-means are often used in computer vision as a tool for feature learning. It can be used in different stages in the visual pathway. Running K-means algorithm on a small region of pixel…

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