Imperial College London

ProfessorAbhijeetGhosh

Faculty of EngineeringDepartment of Computing

Professor of Graphics and Imaging
 
 
 
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Contact

 

+44 (0)20 7594 8351abhijeet.ghosh Website

 
 
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Location

 

376Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

Prof. Ghosh leads the Realistic Graphics & Imaging group in the Dept. of Computing. His research interests include realistic computer graphics, appearance modeling, computational illumination and photography for graphics and vision. He has previously held an EPSRC Early Career Fellowship and a Royal Society Wolfson Research Merit Award in this area. He currently serves on the Editorial Board of the ACM Transactions on Graphics (TOG), and has recently served on the Editorial Board the IEEE Transactions on Visualization and Computer Graphics (TVCG). He has also served as Program Chair and Conference Chair for various computer graphics conferences including EGSR (2020/22), Pacific Graphics (2018), and CVMP (2018/19).

Publications

Journals

FAN C, Lin Y, Ghosh A, 2023, Deep shape and SVBRDF estimation using smartphone multi-lens imaging, Computer Graphics Forum: the International Journal of the Eurographics Association, Vol:42, ISSN:0167-7055

Rainer G, Bridgeman L, Ghosh A, 2023, Neural shading fields for efficient facial inverse rendering, Computer Graphics Forum: the International Journal of the Eurographics Association, Vol:42, ISSN:0167-7055

Lin A, Lin Y, Ghosh A, 2023, Practical acquisition of shape and plausible appearance of reflective and translucent objects, Computer Graphics Forum: the International Journal of the Eurographics Association, Vol:42, ISSN:0167-7055

Lattas A, Moschoglou S, Ploumpis S, et al., 2022, AvatarMe<SUP>++</SUP>: Facial Shape and BRDF Inference With Photorealistic Rendering-Aware GANs, Ieee Transactions on Pattern Analysis and Machine Intelligence, Vol:44, ISSN:0162-8828, Pages:9269-9284

Conference

Lattas A, Lin Y, Kannan J, et al., 2022, Practical and scalable desktop-based high-quality facial capture, European Conference on Computer Vision (ECCV) 2022, Springer, Pages:522-537, ISSN:0302-9743

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