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Professor Xuefeng Liang

School of Artifical Intelligent 

Contact Information

Address: Main Building, Zone II, 419

Email: xliang@xidian.edu.cn

Tel:

Introduction

I am currently with the School of Artificial Intelligence, Xidian University, China. In general, my research interests are visual perception & cognition, computer vision and intelligent algorithms. I received my Ph.D. from Japan Advanced Institute of Science and Technology in 2006. During the three-year program, I explored computational geometry algorithms on a variety of vision problems. Afterward, I moved to National Institute of Advanced Industrial Science and Technology at Tsukuba, and worked on robotics vision. From 2008, I simultaneously worked at University College London & Queen Mary University of London for the research of visual perception on motion. From 2010, I was assigned as Associate Professor at Graduate School of Informatics, Kyoto University. In 2018, I joined Xidian University.

 

News
  1. Our paper “Cross-spectral Image Patch Matching by Learning Features of the Spatially Connected Patches in a Shared Space” has been accepted by ACCV 2018! (Testing Code)
  2. We organize a special issueThe Deep Learning in Computational Photography”. Welcome to submitting your excellent research paper to this SI, more details can be found in [Link]. 
  3. Our paper "An External Learning Assisted Self-examples Learning for Image Super-resolution" has been accepted by Neurocomputing (ELSEVIER), IF(3.317). [Link]
  4. We orgnize a workshop "Interpretable & Reasonable Deep Learning and its Applications (IReDLiA)" in conjunction with IJCAI-ECAI 2018.
  5. I received an academic Award of Governors of Kyoto Prefecture, Japan.
  6. Our paper "A Deep Learning Framework for Remote Sensing Image Registration" has been accepted by ISPRS Journal of Photogrammetry and Remote Sensing (ELSEVIER), IF(6.387). [Link]
  7. Our paper "How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution" has been accepted by IEEE Transactions on Image Processing, IF(4.828). [Link]
  8. I serve as an expert advisor for the Chinese AI Research Association (Japan).
  9. Our paper "Robust coupled dictionary learning with ℓ1-norm coefficients transition constraint for noisy image super-resolution" has been accepted by Signal Processing (ELSEVIER), IF(3.470). [Link]
Academic Events Orgnization
Talks
  1. "Learning the Shared Feature from Cross Domains for Vision Applications & Tackling Data Issues in the Real World Scenario", @ Kyoto University, Aug. 2018, Kyoto, Japan.
  2. "Happier Mood Trigger Bigger Pictures", @ International Workshop on Bio-inspired Systems, Bio-electronics, Machine Intelligence, Taiwan, (Jan, 2018). [Link]
  3. "Viewing Bigger Pictures Promotes Happier Mood: a psychological explanation and an example in the wild", @ International Conference on Video and Image Processing, Singapore, (Dec. 2017). [Link]
  4. "Visual Attention and Emotion", @ The 19th Academic Symposium of the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, China, (Oct. 2017). [Link]
  5. "Studying Visual Attention in Image and Video", @ The 9th International Conference on Intelligent Robotics and Applications (Aug. 2016). [Link]
  6. "Modeling visual attention in image and video", @ Kyoto-Bordeaux mini-symposium, Japan (Feb. 2016).
  7. "How does Robot Understand the Visual Motion?", @ AcademicDay, Japan (Oct. 2015)
  8. "Motion Segmentation in Complex Video", @ Tianjin University, China (Aug. 2015).
  9. "Dynamic saliency detection", @ Xi'dian University, China (Jul. 2014).
  10. "Salient Motion Detection from Complex Video using Potential Surface", @ Seoul National University, Korea (Sept.2013).
  11. "Salient Information, from Static to Dynamic", @ National TsingHua University, Taiwan (Mar. 2013).
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