312 citations · 1.4k across the 73 of their papers we have counts for
5 papers · 1 filter
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Zhuwen Li, Qifeng Chen, Vladlen Koltun
We present a learning-based approach to computing solutions for certain NP-hard problems. Our approach combines deep learning techniques with useful algorithmic elements from class…
Single Image Reflection Separation with Perceptual Losses
Xuaner Zhang, Ren Ng, Qifeng Chen
We present an approach to separating reflection from a single image. The approach uses a fully convolutional network trained end-to-end with losses that exploit low-level and high-…
Speech Denoising with Deep Feature Losses
Francois G. Germain, Qifeng Chen, Vladlen Koltun
We present an end-to-end deep learning approach to denoising speech signals by processing the raw waveform directly. Given input audio containing speech corrupted by an additive ba…
Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu +1
Imaging in low light is challenging due to low photon count and low SNR. Short-exposure images suffer from noise, while long exposure can induce blur and is often impractical. A va…
Semi-parametric Image Synthesis
Xiaojuan Qi, Qifeng Chen, Jiaya Jia +1
We present a semi-parametric approach to photographic image synthesis from semantic layouts. The approach combines the complementary strengths of parametric and nonparametric techn…