341 citations · 1.9k across the 24 of their papers we have counts for
6 papers · 1 filter
Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face Restoration
Zhibo Chen, Jianxin Lin, Tiankuang Zhou +1
Face restoration from low resolution and noise is important for applications of face analysis recognition. However, most existing face restoration models omit the multiple scale is…
Learning to Assemble Neural Module Tree Networks for Visual Grounding
Daqing Liu, Hanwang Zhang, Feng Wu +1
Visual grounding, a task to ground (i.e., localize) natural language in images, essentially requires composite visual reasoning. However, existing methods over-simplify the composi…
Context-Aware Visual Policy Network for Sequence-Level Image Captioning
Daqing Liu, Zheng-Jun Zha, Hanwang Zhang +2
Many vision-language tasks can be reduced to the problem of sequence prediction for natural language output. In particular, recent advances in image captioning use deep reinforceme…
A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels
Shaobo Min, Xuejin Chen, Zheng-Jun Zha +2
\begin{abstract} Learning-based methods suffer from a deficiency of clean annotations, especially in biomedical segmentation. Although many semi-supervised methods have been propos…
Towards Optimal Power Control via Ensembling Deep Neural Networks
Fei Liang, Cong Shen, Wei Yu +1
A deep neural network (DNN) based power control method is proposed, which aims at solving the non-convex optimization problem of maximizing the sum rate of a multi-user interferenc…
Learning for Video Compression
Zhibo Chen, Tianyu He, Xin Jin +1
One key challenge to learning-based video compression is that motion predictive coding, a very effective tool for video compression, can hardly be trained into a neural network. In…