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Stylized Neural Painting
ZhengxiaZou, TianyangShi, ShuangQiu....
Published date-11/16/2020
Image-to-ImageTranslation, StyleTransfer
This paper proposes an image-to-painting translation method that generates vivid and realistic painting artworks with controllable styles. Different from previous image-to-image translation methods that formulate the translation as pixel-wise prediction, …
Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents
AmanpreetSingh, NiranjanBalasubramanian....
Published date-11/15/2020
A major challenge in fine-tuning deep learning models for automatic summarization is the need for large domain specific datasets. One of the barriers to curating such data from resources like …
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking
FabioPardo....
Published date-11/15/2020
ContinuousControl, OpenAIGym
Deep reinforcement learning has been one of the fastest growing fields of machine learning over the past years and numerous libraries have been open sourced to support research. However, most …
Automated Intersection Management with MiniZinc
Md.MushfiqurRahman, NahianMuhtasimZahin, KaziRaiyanMahmud....
Published date-11/15/2020
Ill-managed intersections are the primary reasons behind the increasing traffic problem in urban areas, leading to nonoptimal traffic-flow and unnecessary deadlocks. In this paper, we propose an automated intersection management …
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
JiananWang, BoyangLi, XiangyuFan....
Published date-11/15/2020
The task of video and text sequence alignment is a prerequisite step toward joint understanding of movie videos and screenplays. However, supervised methods face the obstacle of limited realistic training …
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
XinDing, YongweiWang, ZuhengXu....
Published date-11/15/2020
ImageGeneration
This work proposes the continuous conditional generative adversarial network (CcGAN), the first generative model for image generation conditional on continuous, scalar conditions (termed regression labels). Existing conditional GANs (cGANs) are …