Learned smartphone isp on mobile npus with deep learning, mobile ai 2021 challenge: Report A Ignatov, CM Chiang, HK Kuo, A Sycheva, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 42 | 2021 |
Mlperf mobile inference benchmark: An industry-standard open-source machine learning benchmark for on-device ai V Janapa Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, ... Proceedings of Machine Learning and Systems 4, 352-369, 2022 | 34 | 2022 |
Deploying image deblurring across mobile devices: A perspective of quality and latency CM Chiang, Y Tseng, YS Xu, HK Kuo, YM Tsai, GY Chen, KS Tan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 22 | 2020 |
Pynet-v2 mobile: Efficient on-device photo processing with neural networks A Ignatov, G Malivenko, R Timofte, Y Tseng, YS Xu, PH Yu, CM Chiang, ... 2022 26th International Conference on Pattern Recognition (ICPR), 677-684, 2022 | 16 | 2022 |
MicroISP: processing 32mp photos on mobile devices with deep learning A Ignatov, A Sycheva, R Timofte, Y Tseng, YS Xu, PH Yu, CM Chiang, ... European Conference on Computer Vision, 729-746, 2022 | 13 | 2022 |
Power efficient video super-resolution on mobile npus with deep learning, mobile ai & aim 2022 challenge: Report A Ignatov, R Timofte, CM Chiang, HK Kuo, YS Xu, MY Lee, A Lu, ... European Conference on Computer Vision, 130-152, 2022 | 8 | 2022 |
Answer-checking in Context: A Multi-modal Fully Attention Network for Visual Question Answering H Huang, T Han, W Han, D Yap, CM Chiang 2020 25th International Conference on Pattern Recognition (ICPR), 1173-1180, 2021 | 3 | 2021 |
Architecture-aware network pruning for vision quality applications WT Wang, HL Li, WS Lin, CM Chiang, YM Tsai 2019 IEEE International Conference on Image Processing (ICIP), 2701-2705, 2019 | 2 | 2019 |
Supplementary Material for Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency CM Chiang, Y Tseng, YS Xu, HK Kuo, YM Tsai, GY Chen, KS Tan, ... | | |