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description=I am currently a deep learning software engineer at NVIDIA.;
keywords=Po-Han Huang, Computer Vision, University of Illinois at Urbana-Champaign, Machine Learning, NVIDIA, TensorRT, Deep Learning, DeepMVS, Learning Multi-View Stereopsis, MVS, Multi-View Stereo;
author=Po-Han Huang;

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po han huang s homepage po han patrick huang s homepage check out my side projects about me i am currently a deep learning software engineer at nvidia we are working on acclerating the inference of trained deep neural network models no matter which framework the model was trained on tensorrt provides a unified platform to deploy the model on nvidia gpus at maximum speed i was in the master of science program in electrical and computer engineering at university of illinois at urbana champaign i received my bachelor of science degree in electrical engineering here in december 2015 my ms thesis is entitled deepmvs learning multi view stereopsis and our paper is accepted to cvpr 2018 this project was done in collaboration with prof jia bin huang at virginia tech and kevin matzen and johannes kopf at facebook under the supervision of prof narendra ahuja my current interests include deep learning inference large language models vision generation models computer vision and gpu architectures experience nvidia deep learning software engineer date april 2018 present abstract accelerate the inference speed of trained deep neural network models in cuda personify inc later acquired by jaunt xr which was then acquired by verizon software engineering intern date may 2017 august 2017 abstract estimated 3d model of human faces using data from rgb d cameras maximized utilization of parallel computing power in multi gpu computation publications deepmvs learning multi view stereopsis paper accepted to cvpr 2018 check out our project webpage for more details date october 2015 march 2018 abstract trained a deep convolutional neural network which estimates disparity maps from a sequence of unordered images added an encoder decoder network structure and vgg 19 semantic features to improve the results showed that deepmvs can overcome the weaknesses of conventional mvs algorithms in near textureless regions education university of illinois at urbana champaign master of science in electrical and computer engineering august 2016 august 2018 bachelor of science in electrical engineering august 2013 december 2015 cumulative gpa 3 98 4 00 dean s list fall 2013 spring fall 2014 spring fall 2015 recipient of brian sophie leung merit scholarship of year 2014 2015 graduated with the bronze tablet honor for the top three percent of the students for the year of 2016 national taiwan university bachelor of science in electrical engineering august 2012 june 2013 cumulative gpa 4 12 4 30 3 93 4 00 presidential award fall 2012 transferred to university of illinois at urbana champaign in august 2013 projects experiencing non euclidean spaces in virtual reality project for cs498sl virtual reality date october 2017 november 2018 abstract rendered the geometries of non euclidean spaces using opengl to an htc vive virtual reality headset conducted experiments to understand humans capability of navigating in non euclidean 3d spaces gpu accelerated cat face detection with support vector machine project for ece408 applied parallel programming date august 2015 december 2015 abstract detected cat faces in images using support vector machine with color histogram and sift features accelerated training process with parallel algorithms written in cuda mapper ball locating position and mapping rooms won the area award courage for setting a challenging goal and achieving it project for ece445 senior design laboratory date august 2015 december 2015 abstract mapped the 3 d space of a room by throwing a ball around the room and keeping track of the trajectory of the ball located the ball with rf signal intensity and trilateration designed a printed circuit board with eagle to transmit rf signals at 2 45ghz calculated and visualized results in python c and opengl links report slides demo wireless data transmission with acoustic waves in solids project for cs439 wireless networks date august 2015 december 2015 abstract transmitted data with sound waves in 2khz 20khz through solid materials and reached a transmission rate of 500bps in ideal condition developed a physical layer protocol involving multi frequency shift keying manchester encoding and packet structure design with preambles crc and sof eof symbols established a mac layer protocol with adaptive transmission rates and ack nack analyzed and demodulated signals in matlab links report demo dance dance revolution game on fpga altera de2 115 project for ece385 digital systems laboratory date august 2014 december 2014 abstract realized the game dance dance revolution with capacity of 63 customizable songs titles album covers and arrow maps on fpga utilized pipeline structures for image processing in order to display fonts and animations and to handle overlapping regions real time implemented an sd card reader in systemverilog from scratch with spi interface and fat32 filesystem interacted with sound chip and vga chip through i 2 c and other interfaces managed memory hierarchy among sd card sdram sram and on chip memory links report demo