8 citations · 8 across the 1 of their papers we have counts for
3 papers
eess.IV2020★ 8 cited
Perceptually Optimizing Deep Image Compression
Li-Heng Chen, Christos G. Bampis, Zhi Li +2
Mean squared error (MSE) and norms have largely dominated the measurement of loss in neural networks due to their simplicity and analytical properties. However, when used…
eess.IV2019
ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression
Li-Heng Chen, Christos G. Bampis, Zhi Li +2
The use of norms has largely dominated the measurement of loss in neural networks due to their simplicity and analytical properties. However, when used to assess…
eess.IV2019
Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based Partition Prediction
Somdyuti Paul, Andrey Norkin, Alan C. Bovik
In VP9 video codec, the sizes of blocks are decided during encoding by recursively partitioning 6464 superblocks using rate-distortion optimization (RDO). This process is c…