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.

Date	Speaker	Title
16 October 2019	Bailin Deng	Towards Scalable Geometry Processing (Without Solving Linear Systems)
23 October 2019	Yipeng Qin	Towards Understanding How GANs Really Work
30 October 2019	Daniel Finnegan	His recently CHI paper submission
6 November 2019	Yue Peng(University of Science and Technology of China)	Accelerating ADMM for Efficient Simulation and Optimization
13 November 2019	Richard Booth	A brief introduction to belief revision and some potential connections with computer vision
20 November 2019	Yukun Lai	Generative Models for Images and 3D Shapes
27 November 2019	Roberto Dyke	Shape Correspondence and Registration with Non-Isometric Deformations
4 December 2019	Dalia Alfarasani	Measuring 3D mesh saliency using eye tracker

Date	Speaker	Title
3 October 2018	Juncheng Liu Peking University, China	Image driven co-segmentation of 3D models
10 October 2018	Hui Huang Zhao HengYang Normal University, China	Image style transfer using deep CNNs
17 October 2018	Dietmar Saupe University of Konstanz, Germany	KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
24 October 2018	Zeliang Wang	Polynomial matrix eigenvalue decomposition techniques for multichannel signal processing
31 October 2018	Yuhua Li	Novelty detection: Know unknowns from knowns
7 November 2018	Nicholas Wardhana Welsh School of Architecture	Topologic: A toolkit for spatial and topological architectural modelling and exploration
14 November 2018	Thomas Hartley	Pruning convolutional neural networks
21 November 2018	Bailin Deng	Anderson acceleration for geometry optimization and physics simulation
28 November 2018	Aled Owen	Where is the ball? Self-supervised representations for team sports
5 December 2018	Jing Wu	Seeing the unseen: Locating objects from visual reflections
9 January 2019	Abraham Nieva De La Hidalga	Application of semantic segmentation for processing of large image datasets from natural history collections
16 January 2019	David George Swansea University	Feature driven learning techniques for 3D shape segmentation
23 January 2019	Stefano Zappala	Is your brain deforming? An in-vivo investigation of positional brain shift
30 January 2019	Hantao Liu	Demonstration and examples of eye tracking
6 February 2019	Xianfang Sun	Image super-resolution
13 February 2019	Paul Rosin	Reverse correlation for image downsampling
20 February 2019	Hantao Liu	Making use of eye-tracking data
27 February 2019	Darren Cosker University of Bath	Motion capture, analysis and animation research at CAMERA
6 March 2019	Julien Schroeter	Weakly-supervised temporal localisation via occurrence count learning
13 March 2019	Joseph Redfern	Association of violence with urban points of interest
20 March 2019	Mark Hall Martin-Luther-Universität Halle-Wittenberg	Visual interfaces for exploring digital cultural heritage
27 March 2019	Tim Ellis Kingston University	Looking at people - measuring falls and interactions
3 April 2019	Heejune Ahn SeoulTech	Computer vision and deep learning algorithms for 2-D image based virtual cloth try-on
10 April 2019	David Pickup FiveAI	Building an autonomous vehicle
15 May 2019	David Humphreys	Enhancing shortest grammar algorithms for analysis of musical scores
22 May 2019	Bo Li Nanchang Hangkong University	Image colourisation
29 May 2019	Ethan Dickson Cardiff University and Orbital Media	Talking heads: Speech driven facial modelling and video synthesis
5 June 2019	Ran Song and Karina Rodriguez Echavarria University of Brighton	Analysis and applications of 3D objects to support audiences to engage with 3D content, including cultural heritage objects
12 June 2019	Matthias Treder	Predictive modelling of MR images using convolutional neural networks
17 July 2019	Xiaofeng He (National University of Defense Technology, China)	Bio-inspired navigation technology
17 July 2019	Changhao Chen (National University of Defense Technology, China)	Learning methods for robust localization