Generative Adversarial Networks (GANs), proposed by Goodfellow et al. in 2014, revolutionized a domain of image generation in computer vision — no one could believe that these stunning and lively images are actually generated purely by machines. …


Image classification has been one of the domains that thrived with the exponential improvement of deep learning. Traditional image recognition tasks heavily rely on processing methods such as dilations/erosions, kernels, and transforms to the frequency domain , and yet the difficulty in feature extraction has ultimately confined the progress made…


Image from Unsplash.

Autonomous driving, face detections, and numerous computer applications owe their success to deep neural networks. Many may not realize, however, that the blossom of computer vision advancements was due to a specific type of architecture: residual networks. …


Applications of deep learning in computer vision have extended from simple tasks such as image classifications to high-level duties like autonomous driving — one of the most fascinating domains that neural networks shed light on was image generation.

With the capability and success of Generative Adversarial Networks (GANs) in content…


Image credit here and here

The rise of deep learning and neural networks brought various opportunities and applications such as object detection and text-to-speech into the modern society. Yet, despite the seemingly high accuracy, neural networks (and almost all machine learning models) could actually suffer from data, namely adversarial examples, that are manipulated very slightly…


Deep learning has been quite popular for image recognition and classification tasks in recent years due to its high performances. …


Last year, Huawei’s P30 Pro Smart Phone shook the world with an astonishing Leica 50x zoom camera, yet this achievement covered up another feature of this device that may be equally impressive: a Time-of-flight (TOF) back camera. In fact, this TOF camera, initially adopted by XBox Kinect machine, can be…


I am a computer science student who loves new kicks and clothes. Weird huh? …

Ta-Ying Cheng

Oxford D.Phil. student in CompSci | 3D Vision | Deep Learning | LinkedIn: https://www.linkedin.com/in/tim-ta-ying-cheng-411857139/

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