activity
20182022
most citedAdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

26 citations · 175 across the 24 of their papers we have counts for

collaborators

25 papers

cs.CV20211 cited

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction

Songhua Liu, Tianwei Lin, Dongliang He +5

Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks. While reinforcement lear…

cs.CV202126 cited

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

Songhua Liu, Tianwei Lin, Dongliang He +6

Fast arbitrary neural style transfer has attracted widespread attention from academic, industrial and art communities due to its flexibility in enabling various applications. Exist…

cs.CV2021

DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features

Min Yang, Dongliang He, Miao Fan +5

Image Retrieval is a fundamental task of obtaining images similar to the query one from a database. A common image retrieval practice is to firstly retrieve candidate images via si…

cs.CV202112 cited

Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings

Hengyuan Zhao, Wenhao Wu, Yihao Liu +1

In this paper, we present a fast exemplar-based image colorization approach using color embeddings named Color2Embed. Generally, due to the difficulty of obtaining input and ground…

cs.CV20215 cited

ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency

Deng Huang, Wenhao Wu, Weiwen Hu +6

We study self-supervised video representation learning, which is a challenging task due to 1) lack of labels for explicit supervision; 2) unstructured and noisy visual information.…

cs.CV2021

DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning

Wenhao Wu, Yuxiang Zhao, Yanwu Xu +8

Long-range and short-range temporal modeling are two complementary and crucial aspects of video recognition. Most of the state-of-the-arts focus on short-range spatio-temporal mode…