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06/06/2023
Joint Event Extraction via Structural Semantic Matching
Event Extraction (EE) is one of the essential tasks in information extra...
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05/25/2023
NVTC: Nonlinear Vector Transform Coding
In theory, vector quantization (VQ) is always better than scalar quantiz...
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03/04/2023
Building a Modal-balanced BlockChain with Semantic Reconstruction
The current large blockchain systems (BTC Lightning network, Ethereum, e...
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01/14/2022
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer
Recent advances on prompt-tuning cast few-shot classification tasks as a...
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09/29/2020
Sequential Reinforced 360-Degree Video Adaptive Streaming with Cross-user Attentive Network
In the tile-based 360-degree video streaming, predicting user's future v...
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04/13/2020
Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks
Numerous image superresolution (SR) algorithms have been proposed for re...
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03/25/2020
Prior-enlightened and Motion-robust Video Deblurring
Various blur distortions in video will cause negative impact on both hum...
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11/23/2019
Region Normalization for Image Inpainting
Feature Normalization (FN) is an important technique to help neural netw...
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03/03/2019
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments
Deep Deterministic Policy Gradient (DDPG) has been proved to be a succes...
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12/22/2018
Learned Scalable Image Compression with Bidirectional Context Disentanglement Network
In this paper, we propose a learned scalable/progressive image compressi...
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11/30/2018
Hybrid Distortion Aggregated Visual Comfort Assessment for Stereoscopic Image Retargeting
Visual comfort is a quite important factor in 3D media service. Few rese...
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05/14/2018
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching
Poaching continues to be a significant threat to the conservation of wil...
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04/19/2018
A Dynamic Boosted Ensemble Learning Method Based on Random Forest
We propose a dynamic boosted ensemble learning method based on random fo...
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04/19/2018
A Dynamic Boosted Ensemble Learning Based on Random Forest
We propose Dynamic Boosted Random Forest (DBRF), a novel ensemble algori...
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04/05/2018
Review of Deep Learning
In recent years, China, the United States and other countries, Google an...
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01/30/2018
Video-based Sign Language Recognition without Temporal Segmentation
Millions of hearing impaired people around the world routinely use some ...
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11/22/2017
An influence-based fast preceding questionnaire model for elderly assessments
To improve the efficiency of elderly assessments, an influence-based fas...
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04/05/2016