Deep learning in latent space for video prediction and compression B Liu, Y Chen, S Liu, HS Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 63 | 2021 |
An ultra-low-power image signal processor for hierarchical image recognition with deep neural networks H An, S Schiferl, S Venkatesan, T Wesley, Q Zhang, J Wang, KD Choo, ... IEEE Journal of Solid-State Circuits 56 (4), 1071-1081, 2020 | 12 | 2020 |
A 170μW Image Signal Processor Enabling Hierarchical Image Recognition for Intelligence at the Edge H An, S Venkatesan, S Schiferl, T Wesley, Q Zhang, J Wang, K Choo, ... 2020 IEEE Symposium on VLSI Circuits, 1-2, 2020 | 7 | 2020 |
Mmvc: Learned multi-mode video compression with block-based prediction mode selection and density-adaptive entropy coding B Liu, Y Chen, RC Machineni, S Liu, HS Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
Millimeter-scale ultra-low-power imaging system for intelligent edge monitoring A Bejarano-Carbo, H An, K Choo, S Liu, Q Zhang, D Sylvester, D Blaauw, ... arXiv preprint arXiv:2203.04496, 2022 | 3 | 2022 |
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data B Wang, B Liu, S Liu, F Yang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |