| Transform network architectures for deep learning based end-to-end image/video coding in subsampled color spaces HE Egilmez, AK Singh, M Coban, M Karczewicz, Y Zhu, Y Yang, A Said, ... IEEE Open Journal of Signal Processing 2, 441-452, 2021 | 15 | 2021 |
| A combined deep learning based end-to-end video coding architecture for yuv color space AK Singh, HE Egilmez, R Pourreza, M Coban, M Karczewicz, TS Cohen arXiv preprint arXiv:2104.00807, 2021 | 2 | 2021 |
| End-to-end neural network based video coding MZ Coban, AK Singh, HE Egilmez, M Karczewicz US Patent 11,477,464, 2022 | | 2022 |
| Machine learning based flow determination for video coding AK Singh, HE Egilmez, MZ Coban, M Karczewicz US Patent App. 17/676,510, 2022 | | 2022 |
| Methods and apparatus for lossless compression of gpu data AK Singh, CT Hsieh, M Karczewicz US Patent App. 17/169,342, 2022 | | 2022 |
| Front-end architecture for neural network based video coding HE Egilmez, AK Singh, MZ Coban, M Karczewicz US Patent App. 17/643,383, 2022 | | 2022 |
| Design of RFIC for symbol detection AK Singh, PK Upadhyay Discipline of Electrical Engineering, IIT Indore, 2015 | | 2015 |
Hilmi Enes EğilmezEngineer at Apple Inc., PhD, University of Southern Californiausc.edu의 이메일 확인됨
