Visual computing research seminars

The VLunch meeting is a regular event to discuss research of interest to the Visual Computing Group.

Seminars will be held at 11:10 in Room S/3.21, Queen's Buildings (South).

All are welcome to attend. More seminars will be added to the list throughout the year so please check back regularly.

3 October 2018Juncheng Liu
Peking University, China
Image driven co-segmentation of 3D models
10 October 2018Hui Huang Zhao
HengYang Normal University, China
Image style transfer using deep CNNs
17 October 2018Dietmar Saupe
University of Konstanz, Germany
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
24 October 2018Zeliang WangPolynomial matrix eigenvalue decomposition techniques for multichannel signal processing
31 October 2018Yuhua LiNovelty detection: Know unknowns from knowns
7 November 2018Nicholas Wardhana
Welsh School of Architecture
Topologic: A toolkit for spatial and topological architectural modelling and exploration
14 November 2018Thomas HartleyPruning convolutional neural networks
21 November 2018Bailin DengAnderson acceleration for geometry optimization and physics simulation
28 November 2018Aled OwenWhere is the ball? Self-supervised representations for team sports
5 December 2018Jing WuSeeing the unseen: Locating objects from visual reflections
12 December 2018Alexia ZoumpoulakiExploiting visual attention
9 January 2019Abraham Nieva De La HidalgaApplication of semantic segmentation for processing of large image datasets from natural history collections
16 January 2019David George
Swansea University
Feature driven learning techniques for 3D shape segmentation
23 January 2019Stefano ZappalaIs your brain deforming? An in-vivo investigation of positional brain shift
30 January 2019Hantao LiuDemonstration and examples of eye tracking


Please direct all questions about this research seminar programme to:

Paul Rosin

Professor Paul Rosin

Professor of Computer Vision

+44 (0)29 2087 5585
Hantao Liu

Dr Hantao Liu


+44 (0)29 2087 6557
Jing Wu

Dr Jing Wu


+44 (0)2920 688810