I am a Ph.D. Student in computer vision and machine learning at CVSSP, University of Surrey, UK , under supervision of
Prof. Adrian Hilton, Dr. Armin Mustafa and
Dr. Evren Imre . Before I joined CVSSP, I was an intern at
Disney Research Zurich.
I obtained my M.Sc. and B.Sc degrees from Electrical and Electronics Engineering Department, METU under supervision of
Prof. Aydın Alatan and
Dr. Engin Tola.
| 2021-03-01 | Our paper titled "Multi-person Implicit Reconstruction from a Single Image" is accepted in CVPR 2021 . Paper is available here |
| 2021-02-01 | I started my internship at Learning and Perception Group at NVIDIA Research |
| 2020-09-18 | Our paper titled "Multi-View Consistency Loss for Improved
Single-Image 3D Reconstruction of Clothed People" is accepted in ACCV 2020 (Virtual Kyoto) . Paper is available here |
| 2019-12-18 | Our paper titled "Learning Human Reconstruction from Synthetic Dataset" is presented as spotlight presentation in CVMP 2019 in London, UK. Paper is available here |
| 2019-10-25 | I will give a talk in BMVA One Day Meeting Event titled as "Generating Data in Computer Vision and Machine Learning". Meeting program is available here |
| 2019-08-20 | Our paper titled "Learning Dense Wide Baseline Stereo Matching for People" is accepted to ICCV 2019 3D Reconstruction in the Wild Workshop. Paper is available here |
| 2018-07-14 | I attended the International Computer Vision Summer School ICVSS 2018 in Sicily, Italy |
My research interests lie in the area of 3D computer vision and machine learning, particularly supervised and self-supervised deep learning methods for model-free 3D reconstruction of dynamic human body from stereo or monocular camera inputs in the wild. I work on algorithms for learning 3D reconstruction from synthetic 3D human data using diverse and realistic data generation methods. My research goal is to develop deep learning methods for model-free 3D human shape estimation from minimum number of cameras to initiate new interactive communication and entertainment channels for AR/VR systems.
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Multi-person Implicit Reconstruction from a Single Image 2021 Conference on Computer Vision and Pattern Recognition (CVPR) paper | project page(Coming Soon) |
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Multi-View Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People 2020 Asian Conference on Computer Vision (ACCV) paper | project page | video | code / dataset (coming soon) |
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Learning Dense Wide Baseline Stereo Matching for People 2019 IEEE International Conference on Computer Vision Workshops paper | project page | video | code / dataset (coming soon) |
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Learning Human Reconstruction from Synthetic Dataset 2019 ACM SIGGRAPH European Conference on Visual Media Production paper |
Copyright (c) 2021 Akin Caliskan
