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Welcome Summer Intern Student Abhishek Panigrahi

We are so happy to welcome a new summer intern student, Abhishek Panigrahi, in Summer 2017. Let us hear what he said about his research and MCL.

1. Could you briefly introduce yourself and your research interests?

My name is Abhishek Panigrahi. I am a fourth year undergraduate student in  the department of Computer Science and Engineering, IIT Kharagpur. I have come for my summer internship in MCL. I like mathematics and its applications in various tasks. I have also developed an interest for machine learning and deep learning. The scope that I see for myself in deep learning is that a lot of things are still unanswered and require mathematics to describe “why they work?”. It’s my desire to solve the deepest secrets of deep learning models with mathematics.

2. What is your impression about MCL and USC?

I have already spent a couple of weeks here. Based on my experience, people here in MCL are really helpful. I am enjoying myself here. So far I have met a great group of motivated and passionate individuals all offering unique perspectives. The thing that I like about all of them is that there is a friendship bond binding all of them and it didn’t take much time for that bond to bind me as well. I shall try to know all of them, their research and be a part of this immense network by the end of my 2 month stay.

3. What is your future expectation and plan in MCL?

My ambition here is to try to learn the working of residual network and see if I can apply mathematics to do so. My another ambition is to make new friends here and interact with all of them, so [...]

By |June 4th, 2017|News|Comments Off on Welcome Summer Intern Student Abhishek Panigrahi|

Welcome New MCL Lab Member Shilpashree Rao

We are so happy to welcome a new master student, Shilpashree Rao, in Summer 2017. Let us hear what she said about her research and MCL.

1. Could you briefly introduce yourself and your research interests?

My name is Shilpashree Rao, pursuing Master’s degree in Electrical Engineering at University of Southern California. My research interests include Image Processing, Computer Vision, Machine learning and Robotics. The collaboration of innovation and knowledge describes my life wherein my interest towards these areas was sown by my ardor for art and creativity. I have previously advanced research studies on imaging techniques for facial expression detection and face recognition mechanisms for bio-metric applications. The research results have been published in National and IEEE publications. I have always enjoyed developing robots for social cause and I look forward to progress this with amalgamation of Machine learning, Computer Vision and Artificial Intelligence technologies.

2. What is your impression about MCL and USC?

I like the liveliness and the dynamic environment at USC. The people I have met here are focused, intelligent and of course fun-loving! USC and the location itself is great to build professional network. The opportunities to learn and explore recent technologies are unlimited here. MCL is one such lab at USC which nurtures such motivated students, providing resources and learning for advanced practical applications.

3. What is your future expectation and plan in MCL?

My future expectation at the MCL lab is to develop my skills and learning in deep learning techniques and image processing. To innovate and utilize these skills for practical purposes.

By |June 1st, 2017|News|Comments Off on Welcome New MCL Lab Member Shilpashree Rao|

Welcome New MCL Lab Member Chang Xu

We are so happy to welcome a new master student, Chang Xu, in Summer 2017. Let us hear what he said about his research and MCL.

1. Could you briefly introduce yourself and your research interests?

My name is Chang Xu, I am a graduate student at USC pursuing Electrical Engineering Degree. I used to study Automation in my undergraduate study. However, after I learned something relate to data science and machine learning, I found that I love to pursue machine learning path to do something for the data. I have passion for learning computer languages like, C++ and python and love applying what I have learned in electrical engineering into practice by some projects.

2. What is your impression about MCL and USC?

I have already been in USC for a year. I love the environment and academic atmosphere here. USC has best professors in the world and enough research resources for students. The MCL is a community of passionate and intelligent students who pursue their research relate to communication and data. I love talking to people in MCL because I can learn a lot of knowledge every time.

3. What is your future expectation and plan in MCL?

To be honest, after taking the course EE569, I love convolutional neural network and machine learning. I want to learn more about them and apply them into some real practice. I hope I can get familiar with how to conduct real research and get to know the fantastic parts of academic life.

By |May 28th, 2017|News|Comments Off on Welcome New MCL Lab Member Chang Xu|

Welcome New MCL Lab Member Zhuwei Xu

We are so happy to welcome a new master student, Zhuwei Xu, in Summer 2017. Let us hear what she said about her research and MCL.

1. Could you briefly introduce yourself and your research interests?

My name is Zhuwei Xu, a master student in Electronic Engineering Department. I pursued my undergraduate degree in Electronic Science and Technology in Sichuan University. I have an interest of research in new fields. I like to know the latest techniques and apply them to different problems. I learnt a lot about signal processing and probability. I would like to be a researcher and explore the unknown knowledge. Nowadays, my research interests are machine learning and image processing.

2. What is your impression about MCL and USC?

I consider MCL is a great laboratory for me, since I would like to make some contribution in multimedia. Also, I think machine learning is a great idea for many new fields, so I am eager to apply some machine learning ideas on multimedia things.

USC is an outstanding university, it has many excellent faculties and peers in EE department. I want to learn from them and improve my abilities.

3. What is your future expectation and plan in MCL?

My research direction will focus on ‘object localization and classification’ this summer. I hope I can know more things about multimedia, machine learning and how to do research. I would like to do some exciting works, and build connections with people in this laboratory.

By |May 25th, 2017|News|Comments Off on Welcome New MCL Lab Member Zhuwei Xu|

Welcome New MCL Lab Member Xuejing Lei

We are so happy to welcome a new master student, Xuejing Lei, in Summer 2017. Let us hear what she said about her research and MCL.

1. Could you briefly introduce yourself and your research interests?

I’m Xuejing Lei, a graduate student pursuing an Electrical Engineering MS degree at USC. I received my B.S. degree from the School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China in 2016. In my senior year, my partner and I designed an EEG-based control 3D games using motor imagery BCI. That is, subject can play simple games such as reduced Fruit-Cut or Mario by doing some motor imagery or not. Now, my research interest is to learn more about CNN and DNN in image processing and machine learning.

2. What is your impression about MCL and USC?

I have met a group of motivated and intelligent individuals in USC and MCL. Professor Kuo is very kind and professional. Everyone I will ever meet knows something I don’t. I hope I can communicate with them and learn more from them.

3. What is your future expectation and plan in MCL?

I will focus on research of object detection from video this summer. I hope to consolidate my knowledge of image processing, especially CNN and DNN and learn more about development trends of image processing and computer vision. Besides, meeting new individuals is also very attractive. I can’t wait to know them all and make lasting connection with them.

By |May 21st, 2017|News|Comments Off on Welcome New MCL Lab Member Xuejing Lei|
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    Congratulations to Yuzhuo Ren, Chi-Hao Wu, Qin Huang and Weihao Gan in Attending the PhD Hooding Ceremony

Congratulations to Yuzhuo Ren, Chi-Hao Wu, Qin Huang and Weihao Gan in Attending the PhD Hooding Ceremony

Four MCL members attended the Viterbi PhD hooding ceremony on Thursday, May 11, 2017, from 8:00-11:00 a.m. in the Bovard Auditorium. They were Yuzhuo Ren, Chi-Hao Wu, Qin Huang and Weihao Gan. Congratulations to them and their families for their accomplishments in completing their PhD program at USC.

Yuzhuo Ren received her B.S. degree in Hebei University of Technology, China, in 2011 and the M.S. degree from University of Southern California (USC) in 2013. Her research interest is the field of computer vision. Her thesis title is “Machine Learning Techniques for Outdoor and Indoor Layout Estimation”.

Qin Huang received the B.E. in Southeast University, Nanjing, China in 2012 and received the M.S. in Electrical Engineering at USC. He has been in Prof. Kuo’s Media Communications Lab since Nov 2013. His research interests include image and video processing, digital compression and computer vision.

Chi-Hao Wu received his B.S. and M.S. degrees in computer science from National Taiwan University in 2004 and 2006, respectively. He has rich experiences as a software engineer responsible for algorithm design in multimedia fields in Mediatek and IMEC Taiwan Innovation Center. Since 2013, he began his PhD study with Media Communications Lab at USC. His research interests include multimedia signal processing, multi-view image processing and computer vision.

Weihao Gan received his B.S. degree in automation from Huazhong University of Science and Technology in July, 2012. Then he finished his M.S. degree in Electrical Engineering at USC in May 2014. Since June 2013, he has been with Media Communications Lab. Now he is a PhD student in MCL, whose research interests include computer vision, machine learning and visual perception.

By |May 14th, 2017|News|Comments Off on Congratulations to Yuzhuo Ren, Chi-Hao Wu, Qin Huang and Weihao Gan in Attending the PhD Hooding Ceremony|

Welcome New MCL Lab Member Shanshan Cai

We are so happy to welcome a new master student, Shanshan Cai, in Summer 2017. Let us hear what she said about her research and MCL.

1. Could you briefly introduce yourself and your research interests?
My name is Shanshan Cai. I am a graduate student in Electrical Engineering at the University of Southern California. I received my Bachelor’s Degree at Jilin University (China), where I worked in a student lab as a Team Leader for two years.  My field of interest is in signal processing, especially image processing.
2. What is your impression about MCL and USC?
Prof. Kuo is a creative and kind supervisor. He always promotes some useful ideas for the project. I was also impressed by the diligence of the members in the lab. They are motivated and hardworking, focusing on their research. I would like to join them and contribute to the fashion project.
3. What is your future expectation and plan in MCL?
My expectation is that I can learn more knowledge about convolutional network and support teammates with implementing fashion project. I also hope that I can make friends with members in the lab.

By |May 7th, 2017|News|Comments Off on Welcome New MCL Lab Member Shanshan Cai|

Congratulations to Yuzhuo Ren for Passing Her Defense

Congratulations to Yuzhuo Ren for passing her defense on April 26, 2017. Her Ph.D. thesis is entitled “Machine Learning Techniques for Outdoor and Indoor Layout Estimation”.

Abstract of thesis:

In my dissertation, I study three research problems: 1) Outdoor geometric labeling, and 2) Indoor layout estimation and 3) 3D object detection.

A novel method that extracts global attributes from outdoor images to facilitate geometric layout labeling is proposed. The proposed Global-attributes Assisted Labeling (GAL) system exploits both local features and global attributes. The performance of the proposed GAL system is demonstrated and benchmarked with several state-of-the-art algorithms against a popular outdoor scene layout dataset.

Existing solutions to indoor layout estimation largely rely on hand-craft features and vanishing lines. They often fail in highly cluttered indoor scenes. The proposed coarse-to-fine indoor layout estimation (CFILE) method consists of two stages: 1) coarse layout estimation; and 2) fine layout localization. In the first stage, we adopt a fully convolutional neural network (FCN) to obtain a coarse-scale room layout estimate that is close to the ground truth globally. In the second stage, we formulate an optimization framework that enforces several constraints such as layout contour straightness, surface smoothness and geometric constraints for layout detail refinement. The proposed CFILE system offers the state-of-the-art performance on two common benchmark datasets.

Given a RGB-D image, we examine the 3D object detection problem with an objective to produce a bounding box around the object and classify its category. This is a challenging problem due to high intra-class variance, illumination change, background clutter and occlusion. Here, we propose a novel solution that integrates the context information together to provide a robust 3D object detection solution. Extensive experiments are conducted to demonstrate that the proposed Context-3D method achieves the [...]

By |April 30th, 2017|News|Comments Off on Congratulations to Yuzhuo Ren for Passing Her Defense|
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    Congratulations to Qin Huang for receiving the Capocelli Award for the 2017 Data Compression Conference

Congratulations to Qin Huang for receiving the Capocelli Award for the 2017 Data Compression Conference

MCL member, Qin Huang, was awarded the Capocelli Prize at the 2017 Data Compression Conference for his paper entitled “Measure and Prediction of HEVC Perceptually Lossy/Lossless Boundary QP Values”. We are so glad to have him share about his experience in attending the conference. Here is his sharing.
Earlier in this April, I attended the Data Compression Conference 2017 in Snowbird, Utah to present our paper ‘Measure and Prediction of HEVC Perceptually Lossy/Lossless Boundary QP Values’. The work is designed to provide with a dynamic prediction framework that could help estimate the minimum encoding QPs to offer perceptually similar quality.

The conference is held on the beautiful mountain of Snowbird, and it was a really amazing experience to share our work with all the experts in the field. I met with a lot of researchers both in academy and industry, and we discussed constantly after the conference.

It was my great honor to receive the 2017 Capocelli Award, and I really appreciate all the DCC program committee for considering me for the award.

Thank you all!

By |April 26th, 2017|News|Comments Off on Congratulations to Qin Huang for receiving the Capocelli Award for the 2017 Data Compression Conference|
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    Professor Kuo visited Stanford University for Research Collaboration

Professor Kuo visited Stanford University for Research Collaboration

Professor C.-C. Jay Kuo visited the Biomedical Engineering Department in the James  H. Clark Center of the Stanford University on April 17 to attend a research project meeting. Professor Tsung Hsiai of UCLA, Professor Alison Marsden of Stanford and Professor Jay Kuo have a joint NIH project on “Sheer Stress and Light-Sheets to Study Cardiac Trabeculation”. In this project, the team developed a Super Resolution Light-Sheet Microscopy (SRLSM) technology to advance the field of mechanotransduction and cardiac development. The role of MCL in this project is to incorporate computational algorithm to synchronize the cardiac cycle with the SRLSM-captured images for reconstruction of 4-D (3D + time) simulation. Two MCL PhD students have contributed to this project. They are Hao Xu and Ruiyuan Lin. Hao already graduated in 2017 January and now is working at Google. The MCL team provides the expertise to capture the beating hearts by period determination, relative shift determination, absolute shift determination, and post-processing.

Professor Kuo was very impressed by Stanford’s beautiful campus. He visited the campus before about 30 years ago. He hopes to have more opportunities to visit the Silicon Valley to meet MCL alumni.

By |April 22nd, 2017|News|Comments Off on Professor Kuo visited Stanford University for Research Collaboration|