View my Deep Learning Overview : [Google Slides] Deep Learning Research Projects: [Google Slides] Beware, these things get out of date very quick. This presentation is from Oct 2016. The outline of the talk: Toy Neural Network Loss Function Stochastic Gradient Descent Forward-pass (Neural Function Evaluation) Backward-pass (Gradient of Neural function wrt to params) Recent … Continue reading Deep Learning Overview
Category: Research
Toy Neural Network
In my last post on neural network [HERE], I talked on how one can think of neural network as universal approximators. In this post I am trying to help understand a toy neural network implementation. In particular one can have a clearer and intuitive understanding of what a forward_pass is and what back_propagation means. Most … Continue reading Toy Neural Network
Neural Network as Universal Approximators : Intuitive Explaination
Came across this wonderful explanation of why the neural network with hidden layer are universal approximators. Although not very helpful for practical purpose gives an intuitive feel of why neural network give reasonable results. The basic idea is to analyze a sigmoid function as you change w and b . In particular effect on $latex \sigma( w\times x … Continue reading Neural Network as Universal Approximators : Intuitive Explaination
Graph Segmentation of Images
Use of graph representation of an image for segmentation. This is based on the following paper which is one of the most cited papers in Computer Vision. If you are starting to do research in computer vision related fields it is a good idea to understand few of those papers in as much detail as possible. … Continue reading Graph Segmentation of Images
Tutorial Slides on Computer Network
I was a TA for HKUST course ELEC 4120 during spring of 2014 and spring of 2015. The slides here are supplementary material for the course. It contains additional explanations of the concepts, more numerical problems, and exercises. For more details of the concepts refer to the course notes of the instructor. Additionally and ideally … Continue reading Tutorial Slides on Computer Network
Vision Controlled Quadcopter Flight
Just completed (8th Dec, 2015) the Aerial Robotics course in HKUST (ELEC6910P) by Prof. SHEN Shaojie (my PhD supervisor). Most of the course credit were on the completion of the projects. Course TAs were Su Kunyue and Yang Zhengfei. My project partners were Sun Lin and Sun Ting The projects eventually connected together to make a vision … Continue reading Vision Controlled Quadcopter Flight
Direct Edge Alignment (D-EA)
Abstract There has been a paradigm shifting trend towards feature-less methods due to their elegant formulation, accuracy and ever increasing computational power. In this work, we present a direct edge alignment approach for 6-DOF tracking. We argue that photo-consistency based methods are plagued by a much smaller convergence basin and are extremely sensitive to noise, changing illumination … Continue reading Direct Edge Alignment (D-EA)
Color Consistency from Multiple-View Images
Abstract In this paper we address the problem of multiview color consistency. We propose to use a graph model of 3d positions obtained using matched dense feature points. We define an energy functional on this model which captures relationship of the colors across views while also imposing a smoothness cost to obtain optimal colors for the 3d … Continue reading Color Consistency from Multiple-View Images
Photometric Stereo
Project Summary A fixed object is observed with a fixed camera under different light direction. See figure below for the setup. The aim of the project is to infer depth model from these set of images. Acknowledgement This project is a part of the Computer Vision course (COMP 5421) during spring 2014. The project … Continue reading Photometric Stereo
Details of Intra-Prediction in High Efficiency Video Coding (HEVC)
The new High Efficiency Video Coding (HEVC) standard has been recently developed by the Joint Collaborative Team on Video Coding (JCT-VC) which was established by the ISO/IEC Moving Picture Experts Group (MPEG) and ITU-T Video Coding Experts Group (VCEG). This new standard will replace the current H.264/AVC standard to deal with nowadays and future multimedia market trends. This post … Continue reading Details of Intra-Prediction in High Efficiency Video Coding (HEVC)
Manohar Kuse's Cyber 
You must be logged in to post a comment.