Search Results

iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. University of Carlos III of Madrid

< Back The effect of lip and arm synchronization on embodiment: a pilot study Link Author(s) T Collingwoode-Williams, M Gillies, C McCall, X Pan Abstract More info TBA Link

< Back Validity threats in quantitative data collection with games: A narrative survey Link Author(s) D Gundry, S Deterding Abstract More info TBA Link

< Back Adapting and Enhancing Evolutionary Art for Casual Creation. Link Author(s) S Colton, J McCormack, S Berns, E Petrovskaya, M Cook Abstract More info TBA Link

< Back Task Relabelling for Multi-task Transfer using Successor Features Link Author(s) M Balla, D Perez-Liebana Abstract More info TBA Link

< Back Win or learn fast proximal policy optimisation Link Author(s) DS Ratcliffe, K Hofmann, S Devlin Abstract More info TBA Link

< Back Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction Link Author(s) P Hosseini, M Hosseini, SS Al-Azzawi, M Liwicki, I Castro, M Purver Abstract More info TBA Link

Realistic physical interaction of 3D point cloud objects Theme Design and Development Project proposed & supervised by Miles Hansard, Changjae Oh To discuss whether this project could become your PhD proposal please email: miles.hansard@qmul.ac.uk < Back Realistic physical interaction of 3D point cloud objects Project proposal abstract: Point cloud data is becoming widely available, owing to commodity depth cameras and lidar systems. This creates many opportunities for creating 3D game assets, including environments and objects, from scanned real-world data. The realistic rendering of such data has been widely investigated (e.g. https://hal.inria.fr/hal-01017700/) , and can be performed efficiently. However, physical interactions between point clouds, meshes, and other representations are also critical, for gaming and VR applications. These interactions, which include collision, deformation, occlusion, and other effects, may require alternative representations (e.g. https://arxiv.org/abs/1912.12033) . This project will investigate geometric and machine learning approaches to these open problems, in typical game environments. Supervisor: Miles Hansard , Changjae Oh Based at:

iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. University of Ontario Institute of Technology (UOIT)

< Back Evaluating generalisation in general video game playing Link Author(s) M Balla, SM Lucas, D Perez-Liebana Abstract More info TBA Link

< Back A comparison of self-play algorithms under a generalized framework Link Author(s) D Hernandez, K Denamganai, S Devlin, S Samothrakis, JA Walker Abstract More info TBA Link

< Back Evaluating Generalization in General Video Game Playing Link Author(s) D Perez-Liebana, M Balla, S Lucas Abstract More info TBA Link