MCL Research Presented at WACV 2018

MCL member, Ye Wang presented Qin Huang’s paper at Winter Conference on Applications of Computer Vision (WACV) 2018, Lake Tahoe, NV/CA

The title of Qin’s paper is “Unsupervised Clustering Guided Semantic Segmentation”, with Chunyang Xia, Siyang Li, Ye Wang, Yuhang Song and C.-C. Jay Kuo as the co-authors. Here is a brief summary:

“With the development of Fully Convolutional Neural Network (FCN), there have been progressive advances in the field of semantic segmentation in recent years. The FCN-based solutions are able to summarize features across training images and generate matching templates for the desired object classes, yet they overlook intra-class difference (ICD) among multiple instances in the same class. In this work, we present a novel fine-to-coarse learning (FCL) procedure, which first guides the network with designed ‘finer’ sub-class labels, whose decisions are mapped to the original ‘coarse’ object category through end-to-end learning. A sub-class labeling strategy is designed with unsupervised clustering upon deep convolutional features, and the proposed FCL procedure enables a balance between the fine-scale (i.e. sub-class) and the coarse-scale (i.e. class) knowledge. We conduct extensive experiments on several popular datasets, including PASCAL VOC, Context, Person-Part and NYUDepth-v2 to demonstrate the advantage of learning finer sub-classes and the potential to guide the learning of deep networks with unsupervised clustering.”

Congratulations to Qin Huang for his successful presentation at WACV!

By |March 18th, 2018|News|Comments Off on MCL Research Presented at WACV 2018|

Welcome New MCL Member – Sibo Song

We are so happy to welcome a new Ph.D. member of MCL, Sibo Song. Here is an interview with  Sibo :
1. Could you briefly introduce yourself and your research interests?

My name is Sibo Song. I am currently a Ph.D. student at Singapore University of Technology and Design (SUTD) and I received my Bachelor’s degree from Zhejiang University(ZJU) in Automation. My research interests include activity recognition, multi-modal data analysis, and deep learning.

2. What is your impression about MCL and USC?

I know MCL from Prof. Kuo when he visited Singapore and presented his recent works on Saak transform. Through the talking, I knew that MCL is one big family of many intelligent people who are willing to offer their help and enthusiastic about doing research. I just can’t wait to join MCL and meet them all. 

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

During the exchange, I plan to receive research training and investigate Saak transform on various applications such as generative model and adversarial attacks in image and video processing. Also, I hope that I can make more friends here in MCL and learn together with them.

By |February 4th, 2018|News|Comments Off on Welcome New MCL Member – Sibo Song|

Welcome New MCL Member – Tianxiao Zhang

We are so happy to welcome a new Master’s member of MCL, Tianxiao Zhang. Here is an interview with Tianxiao:

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

I am Tianxiao Zhang, and I just graduated from USC in December 2017 and received my M.S. degree, and I joined the Media Communication Lab in January 2018, guided by professor C.-C. Jay Kuo. I love mathematics and programming and my research interests are deep learning and image processing. I think the future belongs to deep learning and deep learning belongs to image understanding. By the way, I love music and I am also a professional pianist. Hope I can combine these two different areas and do a good job in deep learning in the future.
2. What is your impression about MCL and USC?

MCL is like a great family and we have meetings for all MCL members every week. In the meeting, I could meet with other members and make friends with them. I really love the atmosphere in MCL, happy and friendly. What’s more, professor Kuo, the director of MCL, is not only an excellent professor but also a hard-working person. I have never seen any professor starting their work at 6:30 am in the morning until I meet professor Kuo. So I can learn a lot from professor Kuo not only the knowledge but also how to work hard. 
3. What is your future expectation and plan in MCL?

I will cooperate with other MCL members and follow the instructions of professor Kuo, and contribute as much as I can to the research in MCL, especially in deep learning.

By |January 27th, 2018|News|Comments Off on Welcome New MCL Member – Tianxiao Zhang|