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11/28/2019
Multi-Agent Deep Reinforcement Learning with Adaptive Policies
We propose a novel approach to address one aspect of the non-stationarit...
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11/26/2019
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement
Contrast enhancement and noise removal are coupled problems for low-ligh...
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10/20/2019
LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network
In this paper, we explore the task of generating photo-realistic face im...
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08/01/2019
Generalized Fault-Tolerance Topology Generation for Application Specific Network-on-Chips
The Network-on-Chips is a promising candidate for addressing communicati...
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06/06/2019
Context-Aware Visual Policy Network for Fine-Grained Image Captioning
With the maturity of visual detection techniques, we are more ambitious ...
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04/29/2019
Deep Learning-Based Video Coding: A Review and A Case Study
The past decade has witnessed great success of deep learning technology ...
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04/06/2019
Camera Lens Super-Resolution
Existing methods for single image super-resolution (SR) are typically ev...
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02/21/2019
Learning Deterministic Policy with Target for Power Control in Wireless Networks
Inter-Cell Interference Coordination (ICIC) is a promising way to improv...
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12/19/2018
Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face Restoration
Face restoration from low resolution and noise is important for applicat...
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12/17/2018
Receiver-driven Video Multicast over NOMA Systems in Heterogeneous Environments
Non-orthogonal multiple access (NOMA) has shown potential for scalable m...
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12/08/2018
Explainability by Parsing: Neural Module Tree Networks for Natural Language Visual Grounding
Grounding natural language in images essentially requires composite visu...
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11/21/2018
A Deep Tree-Structured Fusion Model for Single Image Deraining
We propose a simple yet effective deep tree-structured fusion model base...
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11/20/2018
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions
Machine learning as a service has been widely deployed to utilize deep n...
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08/16/2018
Context-Aware Visual Policy Network for Sequence-Level Image Captioning
Many vision-language tasks can be reduced to the problem of sequence pre...
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07/26/2018
Towards Optimal Power Control via Ensembling Deep Neural Networks
A deep neural network (DNN) based power control method is proposed, whic...
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04/26/2018
Learning for Video Compression
One key challenge to learning-based video compression is that motion pre...
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09/18/2017
Neural network-based arithmetic coding of intra prediction modes in HEVC
In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC...
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07/18/2017
An Iterative BP-CNN Architecture for Channel Decoding
Inspired by recent advances in deep learning, we propose a novel iterati...
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03/10/2017
A Convolutional Neural Network Approach for Half-Pel Interpolation in Video Coding
Motion compensation is a fundamental technology in video coding to remov...
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02/22/2017
Convolutional Neural Network-Based Block Up-sampling for Intra Frame Coding
Inspired by the recent advances of image super-resolution using convolut...
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02/21/2017
An Efficient Four-Parameter Affine Motion Model for Video Coding
In this paper, we study a simplified affine motion model based coding fr...
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06/09/2016
Understanding User Instructions by Utilizing Open Knowledge for Service Robots
Understanding user instructions in natural language is an active researc...
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09/08/2013
Regret-Based Multi-Agent Coordination with Uncertain Task Rewards
Many multi-agent coordination problems can be represented as DCOPs. Moti...
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03/15/2012
