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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. My collaborating research with Kyoto University "Putative Ratios of Facial Attractiveness in a Deep Neural Network" has been accepted by Vision Research. It is one of my representative work in recent years.
  2. I serve as the conference chair of  The 8th International Conference on Information Technology: IoT and Smart City, ICIT 2020 will take place on December 25-27, 2020 in Xi'an, China.
  3. Our paper “Jointly Discriminating and Frequent Visual Representation Mininghas been accepted by ACCV2020, Congratulations, my students!
  4. Our paper “UAV Autonomous Target Search Based on Deep Reinforcement Learning in Complex Disaster Scene” has been accepted by IEEE ACCESS, IF(4.098), 2019.
  5. Our two papers have been accepted by ICCV2019,where "AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching" is accepted as Oral, Congratulations, my students! (Oral ratio 4.3%)
  6. Our two papers have been accepted by The 26th IEEE International Conference on Image Processing (ICIP 2019) !!
  7. Our paper “Face Super-resolution via Bil[ant]ayer Contextual Representationhas been accepted by Signal Processing: Image Communication (ELSEVIER), IF(2.814), 2019.
  8. Our paper “Wide or Narrow? A Visual Attention Inspired Model for View-Type Classificationhas been accepted by IEEE ACCESS, IF(4.098), 2019. [Link]
  9. Our paper “Low-light image enhancement using Gaussian Process for features retrievalhas been accepted by Signal Processing: Image Communication (ELSEVIER), IF(2.814), 2019. [Link]
  10. 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)
  11. We organize a special issueThe Deep Learning in Computational Photography” in Signal Processing: Image Communication (ELSEVIER). 
  12. Our paper "An External Learning Assisted Self-examples Learning for Image Super-resolution" has been accepted by Neurocomputing (ELSEVIER), IF(4.072). [Link]
  13. We orgnize a workshop "Interpretable & Reasonable Deep Learning and its Applications (IReDLiA)" in conjunction with IJCAI-ECAI 2018.
  14. I received an academic Award of Governors of Kyoto Prefecture, Japan.
  15. I serve as an expert advisor for the Chinese AI Research Association (Japan).
Academic Events Orgnization
  1. The 7th International Conference on Information Technology: IoT and Smart City (ICIT 2019),  December 20-23, 2019 in Shanghai, China.
  2. The 2nd International Conference on Data Science and Information Technology, July 19-21, 2019, in Seoul, Korea.
  3. International workshope "Interpretable & Reasonable Deep Learning and its Applications (IReDLiA)" in conjunction with IJCAI-ECAI 2018.
  4. International Conference on Video and Image Processing. December 27-29, 2017, at Nanyang Technological University.
  5. Kyoto University & Queen Mary University of London Joint Workshop, Intelligent Sensing on Media Data. March 26~27, 2015, at Kyoto University.
  6. Kyoto University & University College London Workshop on Perception of Motion and Pattern. March 12, 2013, at Kyoto University.
  7. Kyoto University & Queen Mary University of London Symposium on Intelligent Sensing. March 18~20, 2013, at Kyoto University.
Talks
  1. "Learning Features for Image Patch Matching", Southern University of Science and Technology, Oct. 2019, Shenzhen, China.

  2. "View Angles may Reveal Your Mood: A psychological explanation and an example in the real world",Tsinghua University, Institute for Interdisciplinary Information Science, May, 2019, Beijing, China.

  3. "View Angles may Reveal Your Mood: A psychological explanation and an example in the real world", International Conference of Union of Mathematical Imaging (UMI2019), May, 2019, Beijing, China.

  4. "Learning the Shared Feature from Cross Domains for Vision Applications & Tackling Data Issues in the Real World Scenario", @ International Conference on Information Technology, HongKong, (Dec. 2018).
  5. "Happier Mood Trigger Bigger Pictures", @ International Workshop on Bio-inspired Systems, Bio-electronics, Machine Intelligence, Taiwan, (Jan, 2018). [Link]
  6. "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]
  7. "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]
  8. "Studying Visual Attention in Image and Video", @ The 9th International Conference on Intelligent Robotics and Applications (Aug. 2016). [Link]
  9. "Modeling visual attention in image and video", @ Kyoto-Bordeaux mini-symposium, Japan (Feb. 2016).
  10. "How does Robot Understand the Visual Motion?", @ AcademicDay, Japan (Oct. 2015)
  11. "Motion Segmentation in Complex Video", @ Tianjin University, China (Aug. 2015).
  12. "Dynamic saliency detection", @ Xi\\\\\'dian University, China (Jul. 2014).
  13. "Salient Motion Detection from Complex Video using Potential Surface", @ Seoul National University, Korea (Sept.2013).
  14. "Salient Information, from Static to Dynamic", @ National TsingHua University, Taiwan (Mar. 2013).