VAII Global Connect|CAFA Visual Art Innovation Institute Expert interview Series--LUC VAN GOOL

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                            VAII Global Connect|CAFA Visual Art Innovation Institute Expert interview Series

                                            CAFA Visual Art Innovation Institute  Expert  Luc Van Gool

Luc Van Gool is a Full Professor at ETH Zurich since the fall of 1998. He is head of the Computer Vision Laboratory.
He was born on the 18th of april 1959 and studied Electrical Engineering at the University of Leuven in Belgium. In 1991 he got his PhD degree from the same university, with a dissertation on the use of invariance in computer vision. In 1991 he became an assistant professor in Leuven and in 1996 professor. He still leads a research group in Leuven, that focuses on industrial applications of computer vision. In 1998 he became a full professor at the ETH in Zuerich, where he now also is the head of the Computer Vision group at the department of Electrical Engineering.
With his research teams, Luc Van Gool is a partner in several national and international projects, e.g. the EU ACTS project Vanguard, the EU Esprit projects Improofs and Impact, and the EU Brite-Euram project Soquetec. He is also involved in several other projects, that range from fundamental research to application-driven developments. His major research interests include 2D and 3D object recognition, texture analysis, range acquisition, stereo vision, robot vision, and optical flow.
Luc Van Gool has been a member of the program committees of several leading international conferences, including the ICCV, ECCV, and CVPR. In 1998 he received a David Marr Prize at the International Conference on Computer Vision.
He is also a cofounder and director of the company Eyetronics, that specialises on 3D modeling and animation, mainly for the entertainment industry and medical applications. The "ShapeSnatcher" product received one of the EU "EITP" 1998.
Luc Van Gool’s Publication Topics:learning (artificial intelligence), convolutional neural nets, image segmentation,computer vision, neural nets, image representation, object detection, image classification, image resolution, video signal processing, image colour analysis, image motion analysis, cameras,data compression, image sequences, feature extraction, image coding, image reconstruction, image restoration, neural net architecture, optimisation, probability, recurrent neural nets, stereo image processing, supervised learning.

CAFA VAII : Please talk about your work updates and achievements since the covid-19pandemic. Is there any change in your life and work, and what is it?

LUC VAN GOOL : I do research in the area of computer vision. I'm not an artist myself. The covid-19 pandemic is mainly disturbing progress because I cannot meet with other members of our research group, also no with the PhD students who I supervise. Sometimes I also gain time because I do not have to travel to meetings. As a matter of fact, I travel far less now than I did before. Unfortunately, the pandemic also made it impossible for me to travel to China for more than a year now. As to achievements, I have been able to publish many scientific papers with my team over the last months. In that sense, the output is like before.

CAFA VAII : What are the changes in the area of visual art and design that have come into your awareness?

LUC VAN GOOL : Because of the pandemic I have not been in touch much with people working in more art-related communities. Normally I have regular contacts with architects, archaeologists, and media producers. As these people are often working in groups at other universities, and also abroad, these contacts have been more difficult and far less frequent. Hence I don't have such a good view of what has happened in those fields lately. In Europe there were hardly any exhibitions and people were not allowed to visit them.

CAFA VAII : Please talk about your artistic creation and relevant work during the pandemic?

LUC VAN GOOL : My tools are paper and computers, which can be used remotely. Hence, there were not so much problems for my research because of the pandemic. That said, it would often be easier if I could work in my lab.

CAFA VAII : What do you think of the future trend of visual art and design?

LUC VAN GOOL : I guess that computers will play an increasing role, as they become a hyper-intelligent brush. Computers can generate images and components in all kinds of styles. They allow to edit the?artwork. There will certainly be artists who become masters in guiding and modifying the computer brush as they work on a picture.

CAFA VAII : Can you talk about your following artwork plans?

LUC VAN GOOL : As said, I am not an artist myself, so I work on tools that can be used by artists, rather than producing art myself. We constantly develop such tools that can better generate images in multiple styles, and also tools that can modify the style of visual data.


Interview Curator/CHANG Zhigang
Chief Editor/DONG Huiping
Interview Assistant/Wang Yongmeng, FAN Gongqing, Zheng Yawen
/SHI Miaomiao
English translation/DONG Jing
Visual Design
/ WEI Xiangmin