23 citations · 25 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 2 cited
On the Choice of Perception Loss Function for Learned Video Compression
Sadaf Salehkalaibar, Buu Phan, Jun Chen +2
We study causal, low-latency, sequential video compression when the output is subjected to both a mean squared-error (MSE) distortion loss as well as a perception loss to target re…
cs.LG2023★ 23 cited
Uncertainty Injection: A Deep Learning Method for Robust Optimization
Wei Cui, Wei Yu
This paper proposes a paradigm of uncertainty injection for training deep learning model to solve robust optimization problems. The majority of existing studies on deep learning fo…
cs.IT2022
Learning Progressive Distributed Compression Strategies from Local Channel State Information
Foad Sohrabi, Tao Jiang, Wei Yu
This paper proposes a deep learning framework to design distributed compression strategies in which distributed agents need to compress high-dimensional observations of a source, t…