activity
20172023
most citedDNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

69 citations · 179 across the 18 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 14 cited

Multi-Label Classification with Label Graph Superimposing

Ya Wang, Dongliang He, Fu Li +4

Images or videos always contain multiple objects or actions. Multi-label recognition has been witnessed to achieve pretty performance attribute to the rapid development of deep lea…

cs.CL2019★ 1 cited

Transformation of Dense and Sparse Text Representations

Wenpeng Hu, Mengyu Wang, Bing Liu +5

Sparsity is regarded as a desirable property of representations, especially in terms of explanation. However, its usage has been limited due to the gap with dense representations.…

cs.CV2019★ 4 cited

Fast Universal Style Transfer for Artistic and Photorealistic Rendering

Jie An, Haoyi Xiong, Jiebo Luo +2

Universal style transfer is an image editing task that renders an input content image using the visual style of arbitrary reference images, including both artistic and photorealist…

cs.CV2019★ 3 cited

StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks

Jie An, Haoyi Xiong, Jinwen Ma +2

Neural Architecture Search (NAS) has been widely studied for designing discriminative deep learning models such as image classification, object detection, and semantic segmentation…

cs.CL2019

GSN: A Graph-Structured Network for Multi-Party Dialogues

Wenpeng Hu, Zhangming Chan, Bing Liu +3

Existing neural models for dialogue response generation assume that utterances are sequentially organized. However, many real-world dialogues involve multiple interlocutors (i.e.,…

cs.LG2019★ 1 cited

T-SVD Based Non-convex Tensor Completion and Robust Principal Component Analysis

Tao Li, Jinwen Ma

Tensor completion and robust principal component analysis have been widely used in machine learning while the key problem relies on the minimization of a tensor rank that is very c…

cs.CV2019★ 3 cited

Spatial-Aware Non-Local Attention for Fashion Landmark Detection

Yixin Li, Shengqin Tang, Yun Ye +1

Fashion landmark detection is a challenging task even using the current deep learning techniques, due to the large variation and non-rigid deformation of clothes. In order to tackl…