323 citations · 1.4k across the 42 of their papers we have counts for
10 papers · 1 filter
Large-scale Tag-based Font Retrieval with Generative Feature Learning
Tianlang Chen, Zhaowen Wang, Ning Xu +2
Font selection is one of the most important steps in a design workflow. Traditional methods rely on ordered lists which require significant domain knowledge and are often difficult…
An Internal Learning Approach to Video Inpainting
Haotian Zhang, Long Mai, Ning Xu +3
We propose a novel video inpainting algorithm that simultaneously hallucinates missing appearance and motion (optical flow) information, building upon the recent 'Deep Image Prior'…
Adversarial Attacks in Sound Event Classification
Vinod Subramanian, Emmanouil Benetos, Ning Xu +2
Adversarial attacks refer to a set of methods that perturb the input to a classification model in order to fool the classifier. In this paper we apply different gradient based adve…
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu +1
We present a deep learning method for the interactive video object segmentation. Our method is built upon two core operations, interaction and propagation, and each operation is co…
Controllable Artistic Text Style Transfer via Shape-Matching GAN
Shuai Yang, Zhangyang Wang, Zhaowen Wang +3
Artistic text style transfer is the task of migrating the style from a source image to the target text to create artistic typography. Recent style transfer methods have considered…
Streamlined Dense Video Captioning
Jonghwan Mun, Linjie Yang, Zhou Ren +2
Dense video captioning is an extremely challenging task since accurate and coherent description of events in a video requires holistic understanding of video contents as well as co…
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Peng Zhou, Long Mai, Jianming Zhang +3
Incremental learning targets at achieving good performance on new categories without forgetting old ones. Knowledge distillation has been shown critical in preserving the performan…
End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image
Seonghyeon Nam, Chongyang Ma, Menglei Chai +3
Time-lapse videos usually contain visually appealing content but are often difficult and costly to create. In this paper, we present an end-to-end solution to synthesize a time-lap…
Video Object Segmentation using Space-Time Memory Networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu +1
We propose a novel solution for semi-supervised video object segmentation. By the nature of the problem, available cues (e.g. video frame(s) with object masks) become richer with t…
Singing voice conversion with non-parallel data
Xin Chen, Wei Chu, Jinxi Guo +1
Singing voice conversion is a task to convert a song sang by a source singer to the voice of a target singer. In this paper, we propose using a parallel data free, many-to-one voic…