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Multi-task Learning based Pre-trained Language Model for Code Completion
Code completion is one of the most useful features in the Integrated Dev...
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SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
This paper observes that there is an issue of high frequencies missing i...
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Learning to Represent Programs with Heterogeneous Graphs
Program source code contains complex structure information, which can be...
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Point Cloud Attribute Compression via Successive Subspace Graph Transform
Inspired by the recently proposed successive subspace learning (SSL) pri...
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Towards Full-line Code Completion with Neural Language Models
A code completion system suggests future code elements to developers giv...
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Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
Pose-guided person image generation and animation aim to transform a sou...
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Toward Zero-Shot Unsupervised Image-to-Image Translation
Recent studies have shown remarkable success in unsupervised image-to-im...
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A Technical Report for VIPriors Image Classification Challenge
Image classification has always been a hot and challenging task. This pa...
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GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency
Since detecting and recognizing individual human or object are not adequ...
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Deep Image Spatial Transformation for Person Image Generation
Pose-guided person image generation is to transform a source person imag...
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Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Code clones are semantically similar code fragments pairs that are synta...
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NLocalSAT: Boosting Local Search with Solution Prediction
The boolean satisfiability problem is a famous NP-complete problem in co...
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RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
Generic object detection algorithms have proven their excellent performa...
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C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network
Traditional video quality assessment (VQA) methods evaluate localized pi...
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Code Generation as a Dual Task of Code Summarization
Code summarization (CS) and code generation (CG) are two crucial tasks i...
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Multi-mapping Image-to-Image Translation via Learning Disentanglement
Recent advances of image-to-image translation focus on learning the one-...
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A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning
Code completion, one of the most useful features in the integrated devel...
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C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks
Recently, significant progresses have been made in object detection on c...
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StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Image inpainting techniques have shown significant improvements by using...
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ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network
In recent years, memory-augmented neural networks(MANNs) have shown prom...
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Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds
Point cloud is a fundamental 3D representation which is widely used in r...
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Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Video anomaly detection under weak labels is formulated as a typical mul...
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Bi-Skip: A Motion Deblurring Network Using Self-paced Learning
A fast and effective motion deblurring method has great application valu...
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A Grammar-Based Structural CNN Decoder for Code Generation
Code generation maps a program description to executable source code in ...
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BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization
Despite tremendous progress achieved in temporal action detection, state...
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SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning
Image translation is a burgeoning field in computer vision where the goa...
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Mini-batch Serialization: CNN Training with Inter-layer Data Reuse
Training convolutional neural networks (CNNs) requires intense computati...
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Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector
Weakly supervised temporal action detection is a Herculean task in under...
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Multi-Mapping Image-to-Image Translation with Central Biasing Normalization
Recent image-to-image translation tasks attempt to extend the model from...
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Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection
Saliency detection aims to detect the most attractive objects in images ...
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Deep Learning in Software Engineering
Recent years, deep learning is increasingly prevalent in the field of So...
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Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction
Point cloud compression is a key enabler for the emerging applications o...
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A multilayer backpropagation saliency detection algorithm and its applications
Saliency detection is an active topic in the multimedia field. Most prev...
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PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection
Fully convolutional neural networks (FCNs) have shown outstanding perfor...
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Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation
This paper addresses the question: Why do neural dialog systems generate...
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A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement
Low-light images are not conducive to human observation and computer vis...
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Robust Saliency Detection via Fusing Foreground and Background Priors
Automatic Salient object detection has received tremendous attention fro...
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Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform
3D sensing and content capture have made significant progress in recent ...
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An Innovative Salient Object Detection Using Center-Dark Channel Prior
Saliency detection aims to detect the most attractive objects in images,...
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CodeSum: Translate Program Language to Natural Language
During software maintenance, programmers spend a lot of time on code com...
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ORGB: Offset Correction in RGB Color Space for Illumination-Robust Image Processing
Single materials have colors which form straight lines in RGB space. How...
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A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning
Existing action detection algorithms usually generate action proposals t...
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Compressing Neural Language Models by Sparse Word Representations
Neural networks are among the state-of-the-art techniques for language m...
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Improved Knowledge Base Completion by Path-Augmented TransR Model
Knowledge base completion aims to infer new relations from existing info...
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Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking
In this paper, we address the problem of searching action proposals in u...
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Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation
Using neural networks to generate replies in human-computer dialogue sys...
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How Transferable are Neural Networks in NLP Applications?
Transfer learning is aimed to make use of valuable knowledge in a source...
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Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation
Nowadays, neural networks play an important role in the task of relation...
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Natural Language Inference by Tree-Based Convolution and Heuristic Matching
In this paper, we propose the TBCNN-pair model to recognize entailment a...
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Backward and Forward Language Modeling for Constrained Sentence Generation
Recent language models, especially those based on recurrent neural netwo...
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