Anil Bas

Dr Anil Bas

  • CfACTs Research Fellow
  • Weymouth House W338, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Biography

Dr Anil Bas is a computer scientist and academic specialising in computer vision, computer graphics and machine learning. He is a Research Fellow at the Centre for Applied Creative Technologies, Bournemouth University, UK. His project is funded by the Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship Scheme.

Anil received his PhD in Computer Science from the University of York, UK. Funded by the Turkish Higher Education Council, his doctoral thesis concentrated on 3D face shape estimation from in-the-wild images using geometric cues, i.e. semantically meaningful landmark points and contours. After graduation, he joined Marmara University in Istanbul, where he was an Assistant Professor and Deputy Head of Department.

His current research interests include novel view synthesis, neural rendering and radiance fields – specifically photorealistic 3D scene representations and surface reconstruction. He is particularly interested in developing virtual head/face avatars and digital humans, exploring parametric models with Gaussian Splatting.

Journal Articles

  • van Heerden, I., Duman, Ç. and Bas, A., 2023. Performing the Post-Anthropocene AI: When a Robot Writes a Play. TDR - The Drama Review - A Journal of Performance Studies, 67 (4), 104-120.
  • Bas, A., 2022. Automatic Image Stitching Using SURF and RANSAC Based Homography Estimation. JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, 25 (2), 597-604.
  • Van Heerden, I. and Bas, A., 2021. Viewpoint: Ai as author - bridging the gap between machine learning and literary theory. Journal of Artificial Intelligence Research, 71, 175-189.
  • An, B.D., Ulku, E.E., Bas, A. and Erdal, H., 2020. The role of the maker movement in engineering education: student views on key issues of makerspace environment. International Journal of Engineering Education, 36 (4), 1161-1169.
  • Bas, A. and Smith, W.A.P., 2019. What Does 2D Geometric Information Really Tell Us About 3D Face Shape? International Journal of Computer Vision, 127 (10), 1455-1473.
  • Bas, A. and Smith, W.A.P., 2018. Statistical transformer networks: learning shape and appearance models via self supervision. CoRR, abs/1804.02541.

Books

  • Van Heerden, I., Bas, A. and Van Heerden, E., 2023. Silwerwit in die soontoe: Afrikaans se eerste KI-gedigte. Naledi.

Conferences

  • Van Heerden, I. and Bas, A., 2024. A Perspective on Literary Metaphor in the Context of Generative AI. In: European Conference on Artificial Intelligence (ECAI) Workshop on Artificial Intelligence and Creativity 19-24 October 2024 Santiago de Compostela, Spain. CEUR Workshop Proceedings, 3810, 172-180.
  • van Heerden, I. and Bas, A., 2024. A Perspective on Literary Metaphor in the Context of Generative AI. CEUR Workshop Proceedings, 3810, 172-180.
  • Bas, A., Topal, M.O., Duman, Ç. and Van Heerden, I., 2022. A Brief History of Deep Learning-Based Text Generation. Proceedings of the International Conference on Computer and Applications, ICCA 2022 - Proceedings.
  • Akdas, H.S., Demir, O., Dogan, B., Bas, A. and Uslu, B.C., 2021. Vehicle Route Optimization for Solid Waste Management: A Case Study of Maltepe, Istanbul. Proceedings of the 13th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2021.
  • van Heerden, I. and Bas, A., 2021. AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation. Bridging Human-Computer Interaction and Natural Language Processing, HCINLP 2021 - Proceedings of the 1st Workshop, 74-80.
  • Buyukozdemir, K., Bas, A., Yildiz, K. and Uslu, B.C., 2021. A Review of Heuristic Approaches to Vehicle Routing Problems. 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021.
  • Erol, M.K., Kapan, U.A., Ozturk, M.K., Uslu, B.C. and Bas, A., 2020. A Comparative Study of PCA and LBP for Face Recognition under Illumination Variations. Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020.
  • Bas, A., Huber, P., Smith, W.A.P., Awais, M. and Kittler, J., 2017. 3D Morphable Models as Spatial Transformer Networks. Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017, 2018-January, 895-903.
  • Bas, A., Smith, W.A.P., Bolkart, T. and Wuhrer, S., 2017. Fitting a 3D morphable model to edges: A comparison between hard and soft correspondences. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10117 LNCS, 377-391.

Qualifications

  • PhD in Computer Science (University of York, 2018)

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