Xutao Lv- Welcome to Xutao's website

I am currently working as Sr. Research Scientist at Snap Inc.. Before Joining Snap Inc, I was working as a Computer Scientist in SRI International. I got my PhD degree under the advisory of Dr. Tony Han in the Computer Vision Lab of University of Missouri in 2012. Before I joined Computer Vision Lab, I was a Research assistant at University of Science and Technology of China. I did two internships at Sony (USA) Research and Huawei (USA), aka Futurewei, Research in 2011 and 2010.

Selected Honors and Awards

Joint Winner in the Action Classification Task,
PASCAL VOC 2010.
Best Intern Award,
Huawei (USA) Research, Bridgewater, NJ, 2010.
Third place in the detection task,
PASCAL VOC 2012.
First Prize and Outstanding Paper,
National Graduate Contest in Mathematic Modeling, China, 2007.

Computer Skills

Languages & Software: Experienced in parallel computing in 1) Programming using Map-Reduce structure on Hadoop cluster; 2) GPGPU Programming using CUDA. Proficient in C/C++ and Matlab on major OSs. Skilled in script languages, including Python, Ruby and Bash.
Certifications:
1. Senior software engineer with the certificate issued by the Ministry of Information Industry of China; 2) Level 4 in National Computer Rank Examination (China)
.

Patents

Superpixel via Boundary Preserving Distance Metric,
2011. with Su Wang, Shengyang Dai, Xun Xu and Akira Nakamura
Cloud-Based Transcoding Platform,
2010. with Yu Huang, Yue Chen and Heather Yu
Compute Vision as a Service,
2015. with Harpreet Sawney, etc

Selected Publications

Progressive Learning of Low-Precision Networks for Image Classification,
IEEE Transactions on Multimedia, (T-MM 2020). Zhengguang Zhou , Wengang Zhou , Xutao Lv , Xuan Huang , Xiaoyu Wang , Houqiang Li
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection,
IEEE Transactions ow Pattery Analysis and Machine Intelligence, (T-PAMI 2019). Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Rama Chellappa
Deep regionlets for object detection,
Proceedings of the European Conference on Computer Vision (ECCV 2018). Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Rama Chellappa
Deep reinforcement learning-based image captioning with embedding reward,
Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR 2017), as oral presentation and nominated to Best Student Award. Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Jia Li
Randomized Support Vector Forest,
British Machine Vision Conference 2014 (BMVC 2014). Xutao Lv, Tony X. Han, Zicheng Liu and Zhihai He
Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor,
The 11th Asian Conference on Computer Vision (ACCV 2012), as an oral presentation paper (acceptance rate= 3.6%). Shuai Tang, Xiaoyu Wang, Xutao Lv, Tony X. Han, Jim Keller, Zhihai He, Marjorie Skubic, and Shihong Lao
Recognizing Emotions From an Ensemble of Features,
IEEE Transactions on Systems, Man, and Cybernetics, Issue: 99, 2012. Usman Tariq, Kai-Hsiang Lin, Zhen Li, Xi Zhou, Zhaowen Wang, Vuong Le, Thomas S. Huang, Xutao Lv, Tony X. Han
Emotion recognition from an ensemble of features,
IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), pp. 872-877, 2011. Usman Tariq, Kai-Hsiang Lin, Zhen Li, Xi Zhou, Zhaowen Wang, Vuong Le, Thomas S. Huang, Xutao Lv, Tony X. Han