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Is Space-Time Attention All You Need for Video Understanding?
We present a convolution-free approach to video classification built exc...
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From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques
Traditional change detection methods usually follow the image differenci...
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CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
We present a Chinese judicial reading comprehension (CJRC) dataset which...
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Region and Object based Panoptic Image Synthesis through Conditional GANs
Image-to-image translation is significant to many computer vision and ma...
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CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Simila...
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FASTER Recurrent Networks for Video Classification
Video classification methods often divide the video into short clips, do...
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Video Modeling with Correlation Networks
Motion is a salient cue to recognize actions in video. Modern action rec...
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Large-scale weakly-supervised pre-training for video action recognition
Current fully-supervised video datasets consist of only a few hundred th...
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Video Classification with Channel-Separated Convolutional Networks
Group convolution has been shown to offer great computational savings in...
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Multi-task Learning for Chinese Word Usage Errors Detection
Chinese word usage errors often occur in non-native Chinese learners' wr...
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Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning
The goal of knowledge representation learning is to embed entities and r...
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Overview of CAIL2018: Legal Judgment Prediction Competition
In this paper, we give an overview of the Legal Judgment Prediction (LJP...
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CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
In this paper, we introduce the Chinese AI and Law challenge dataset (CA...
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Devon: Deformable Volume Network for Learning Optical Flow
We propose a lightweight neural network model, Deformable Volume Network...
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SLAC: A Sparsely Labeled Dataset for Action Classification and Localization
This paper describes a procedure for the creation of large-scale video d...
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Text Generation Based on Generative Adversarial Nets with Latent Variable
In this paper, we propose a model using generative adversarial net (GAN)...
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A Closer Look at Spatiotemporal Convolutions for Action Recognition
In this paper we discuss several forms of spatiotemporal convolutions fo...
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Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing
In a streaming environment, there is often a need for statistical predic...
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A robust and efficient video representation for action recognition
This paper introduces a state-of-the-art video representation and applie...
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Concept Drift Detection for Streaming Data
Common statistical prediction models often require and assume stationari...
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