Mobile AI


An Efficient Hybrid Model for Low-Light Image Enhancement in Mobile Devices
Zhicheng Fu,
Miao Song,
Chao Ma,
Joseph Nasti,
Vivek Tyagi,
Grant Lloyd,
Wei Tang
[pdf]
[bibtex]
@InProceedings{Fu_2022_CVPR, author = {Fu, Zhicheng and Song, Miao and Ma, Chao and Nasti, Joseph and Tyagi, Vivek and Lloyd, Grant and Tang, Wei}, title = {An Efficient Hybrid Model for Low-Light Image Enhancement in Mobile Devices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {3057-3066} }

Update Compression for Deep Neural Networks on the Edge
Bo Chen,
Ali Bakhshi,
Gustavo Batista,
Brian Ng,
Tat-Jun Chin
[pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2022_CVPR, author = {Chen, Bo and Bakhshi, Ali and Batista, Gustavo and Ng, Brian and Chin, Tat-Jun}, title = {Update Compression for Deep Neural Networks on the Edge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {3076-3086} }

SMM-Conv: Scalar Matrix Multiplication With Zero Packing for Accelerated Convolution
Amir Ofir,
Gil Ben-Artzi
[pdf]
[bibtex]
@InProceedings{Ofir_2022_CVPR, author = {Ofir, Amir and Ben-Artzi, Gil}, title = {SMM-Conv: Scalar Matrix Multiplication With Zero Packing for Accelerated Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {3067-3075} }

PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices
Fausto Tapia Benavides,
Andrey Ignatov,
Radu Timofte
[pdf]
[bibtex]
@InProceedings{Benavides_2022_CVPR, author = {Benavides, Fausto Tapia and Ignatov, Andrey and Timofte, Radu}, title = {PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {3049-3056} }

RenderSR: A Lightweight Super-Resolution Model for Mobile Gaming Upscaling
Tingxing (Tim) Dong,
Hao Yan,
Mayank Parasar,
Raun Krisch
[pdf]
[bibtex]
@InProceedings{Dong_2022_CVPR, author = {Dong, Tingxing (Tim) and Yan, Hao and Parasar, Mayank and Krisch, Raun}, title = {RenderSR: A Lightweight Super-Resolution Model for Mobile Gaming Upscaling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {3087-3095} }