3DOR 2025 Early Bird Registration and New Keynote Speaker The 3DOR Early bird registration ends soon, on August 1st! Register <https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-engineering -c05/computer-science-f48/f48-3dor-2025> before then to benefit from the discounted early-bird rate. We also announce Ayush Tewari <https://ayushtewari.com/> as third keynote speaker, see his bio below. 3DOR <https://3dor.cs.ucl.ac.uk/> is the dedicated workshop series for methods, applications and benchmark-based evaluation of 3D object retrieval, classification, and similarity-based object processing. In 2025, the 3DOR will be organized as a Symposium with the ambition to attract a larger number of participants. The symposium also includes the 2025 edition of the 3D Shape Retrieval Challenge (SHREC), keynotes, project presentations, and a social and networking event. The workshop will be held on the 4th and 5th of September at University College London (UCL) Bloomsbury Campus, which is ideally located in central London, and is easily accessible by tube, train, bus, and taxi. More information about the venue will be added closer to the date of the Symposium. Keynote Speakers Ayush Tewari <https://ayushtewari.com/> Ayush Tewari is an assistant professor at the University of Cambridge. He was previously a postdoctoral researcher at MIT CSAIL with Bill Freeman, Josh Tenenbaum, and Vincent Sitzmann. His research interests lie in visual perception, developing methods that infer rich structured representations of the visual world from images and videos, much like the mental models humans infer to interact with and navigate their surroundings. Stefanos Zafeiriou <https://profiles.imperial.ac.uk/s.zafeiriou> Stefanos Zafeiriou is currently a Professor in Machine Learning and Computer Vision with the Department of Computing, Imperial College London, London, U.K, and an EPSRC Early Career Research Fellow. He was a recipient of the Prestigious Junior Research Fellowships from Imperial College London in 2011. He was the recipient of the President's Medal for Excellence in Research Supervision for 2016. He has co-authored 70 journal papers mainly on novel statistical machine learning methodologies applied to computer vision problems, such as 2-D/3-D face analysis, deformable object fitting and tracking, shape from shading, and human behaviour analysis. He was co-founder of two startups Facesoft and Ariel AI. Yi-Zhe Song <https://personalpages.surrey.ac.uk/y.song/> Yi-Zhe Song is a Professor of Computer Vision and Machine Learning, at the Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey. He leads the SketchX Lab within CVSSP - a large research group of 3 academics, 2 postdocs, and 14 full-time PhD students. His vision for SketchX is understanding how seeing can be explained by drawing. In other words, how better understanding of human sketch data can be translated to insights of how human visual systems operate, and in turn how such insights can benefit computer vision and cognitive science at large.