activity
20152021
most citedCodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

416 citations · 958 across the 23 of their papers we have counts for

collaborators
Showing 2019Show all

11 papers · 1 filter

cs.CV2019

RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection

Wei-Hong Lin, Jia-Xing Zhong, Shan Liu +2

Generic object detection algorithms have proven their excellent performance in recent years. However, object detection on underwater datasets is still less explored. In contrast to…

cs.LG201964 cited

Code Generation as a Dual Task of Code Summarization

Bolin Wei, Ge Li, Xin Xia +2

Code summarization (CS) and code generation (CG) are two crucial tasks in the field of automatic software development. Various neural network-based approaches are proposed to solve…

eess.IV2019

C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network

Munan Xu, Junming Chen, Haiqiang Wang +3

Traditional video quality assessment (VQA) methods evaluate localized picture quality and video score is predicted by temporally aggregating frame scores. However, video quality ex…

cs.CV2019

Multi-mapping Image-to-Image Translation via Learning Disentanglement

Xiaoming Yu, Yuanqi Chen, Thomas Li +2

Recent advances of image-to-image translation focus on learning the one-to-many mapping from two aspects: multi-modal translation and multi-domain translation. However, the existin…

cs.SE2019

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

Fang Liu, Ge Li, Bolin Wei +3

Code completion, one of the most useful features in the Integrated Development Environments (IDEs), can accelerate software development by suggesting the libraries, APIs, and metho…

cs.CV2019

C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks

Dongming Yang, YueXian Zou, Jian Zhang +1

Recently, significant progresses have been made in object detection on common benchmarks (i.e., Pascal VOC). However, object detection in real world is still challenging due to the…