b'Zhaowen Wang'

research

∙ 09/12/2023

Tail Gini Functional under Asymptotic Independence

Tail Gini functional is a measure of tail risk variability for systemic ...

0 Zhaowen Wang, et al. ∙

research

∙ 05/17/2023

DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation

Automatic generation of fonts can be an important aid to typeface design...

0 Ying-Tian Liu, et al. ∙

research

∙ 04/12/2023

Improving Diffusion Models for Scene Text Editing with Dual Encoders

Scene text editing is a challenging task that involves modifying or inse...

0 Jiabao Ji, et al. ∙

research

∙ 03/13/2023

Align and Attend: Multimodal Summarization with Dual Contrastive Losses

The goal of multimodal summarization is to extract the most important in...

0 Bo He, et al. ∙

research

∙ 10/12/2022

LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos

Livestream videos have become a significant part of online learning, whe...

0 Jielin Qiu, et al. ∙

research

∙ 10/10/2022

Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment

Multimedia summarization with multimodal output (MSMO) is a recently exp...

9 Jielin Qiu, et al. ∙

research

∙ 07/31/2022

Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition

Artistic text recognition is an extremely challenging task with a wide r...

0 Xudong Xie, et al. ∙

research

∙ 04/07/2022

MHMS: Multimodal Hierarchical Multimedia Summarization

Multimedia summarization with multimodal output can play an essential ro...

0 Jielin Qiu, et al. ∙

research

∙ 12/21/2021

Melody Harmonization with Controllable Harmonic Rhythm

Melody harmonization, namely generating a chord progression for a user-g...

0 Shangda Wu, et al. ∙

research

∙ 10/20/2021

STALP: Style Transfer with Auxiliary Limited Pairing

We present an approach to example-based stylization of images that uses ...

0 David Futschik, et al. ∙

research

∙ 06/12/2021

A Multi-Implicit Neural Representation for Fonts

Fonts are ubiquitous across documents and come in a variety of styles. T...

6 Pradyumna Reddy, et al. ∙

research

∙ 11/27/2020

Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach

Text segmentation is a prerequisite in many real-world text-related task...

0 Xingqian Xu, et al. ∙

research

∙ 10/16/2020

G-DARTS-A: Groups of Channel Parallel Sampling with Attention

Differentiable Architecture Search (DARTS) provides a baseline for searc...

0 Zhaowen Wang, et al. ∙

research

∙ 12/01/2019

Texture Hallucination for Large-Scale Painting Super-Resolution

We aim to super-resolve digital paintings, synthesizing realistic detail...

11 Yulun Zhang, et al. ∙

research

∙ 09/17/2019

An Internal Learning Approach to Video Inpainting

We propose a novel video inpainting algorithm that simultaneously halluc...

8 Haotian Zhang, et al. ∙

research

∙ 09/04/2019

Large-scale Tag-based Font Retrieval with Generative Feature Learning

Font selection is one of the most important steps in a design workflow. ...

3 Tianlang Chen, et al. ∙

research

∙ 06/12/2019

Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset

This paper aims to boost privacy-preserving visual recognition, an incre...

1 Haotao Wang, et al. ∙

research

∙ 05/03/2019

Controllable Artistic Text Style Transfer via Shape-Matching GAN

Artistic text style transfer is the task of migrating the style from a s...

19 Shuai Yang, et al. ∙

research

∙ 04/09/2019

Multimodal Style Transfer via Graph Cuts

An assumption widely used in recent neural style transfer methods is tha...

24 Yulun Zhang, et al. ∙

research

∙ 03/30/2019

Dance Dance Generation: Motion Transfer for Internet Videos

This work presents computational methods for transferring body movements...

6 Yipin Zhou, et al. ∙

research

∙ 03/03/2019

Image Super-Resolution by Neural Texture Transfer

Due to the significant information loss in low-resolution (LR) images, i...

12 Zhifei Zhang, et al. ∙

research

∙ 11/19/2018

Visual Font Pairing

This paper introduces the problem of automatic font pairing. Font pairin...

8 Shuhui Jiang, et al. ∙

research

∙ 10/14/2018

Learning to Sketch with Deep Q Networks and Demonstrated Strokes

Doodling is a useful and common intelligent skill that people can learn ...

0 Tao Zhou, et al. ∙

research

∙ 08/27/2018

Wide Activation for Efficient and Accurate Image Super-Resolution

In this report we demonstrate that with same parameters and computationa...

0 Jiahui Yu, et al. ∙

research

∙ 07/25/2018

Flow-Grounded Spatial-Temporal Video Prediction from Still Images

Existing video prediction methods mainly rely on observing multiple hist...

0 Yijun Li, et al. ∙

research

∙ 07/22/2018

Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

This paper aims to improve privacy-preserving visual recognition, an inc...

1 Zhenyu Wu, et al. ∙

research

∙ 07/10/2018

"Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention

Generating stylized captions for an image is an emerging topic in image ...

0 Tianlang Chen, et al. ∙

research

∙ 04/10/2018

Reference-Conditioned Super-Resolution by Neural Texture Transfer

With the recent advancement in deep learning, we have witnessed a great ...

0 Zhifei Zhang, et al. ∙

research

∙ 12/04/2017

Visual to Sound: Generating Natural Sound for Videos in the Wild

As two of the five traditional human senses (sight, hearing, taste, smel...

0 Yipin Zhou, et al. ∙

research

∙ 12/01/2017

Multi-Content GAN for Few-Shot Font Style Transfer

In this work, we focus on the challenge of taking partial observations o...

0 Samaneh Azadi, et al. ∙

research

∙ 11/07/2017

Visually-Aware Fashion Recommendation and Design with Generative Image Models

Building effective recommender systems for domains like fashion is chall...

0 Wang-Cheng Kang, et al. ∙

research

∙ 10/28/2017

Exploring Asymmetric Encoder-Decoder Structure for Context-based Sentence Representation Learning

Context information plays an important role in human language understand...

0 Shuai Tang, et al. ∙

research

∙ 09/29/2017

Photometric Stabilization for Fast-forward Videos

Videos captured by consumer cameras often exhibit temporal variations in...

0 Xuaner Cecilia Zhang, et al. ∙

research

∙ 06/28/2017

Robust Lane Tracking with Multi-mode Observation Model and Particle Filtering

Automatic lane tracking involves estimating the underlying signal from a...

0 Jiawei Huang, et al. ∙

research

∙ 06/09/2017

Trimming and Improving Skip-thought Vectors

The skip-thought model has been proven to be effective at learning sente...

0 Shuai Tang, et al. ∙

research

∙ 06/09/2017

Rethinking Skip-thought: A Neighborhood based Approach

We study the skip-thought model with neighborhood information as weak su...

0 Shuai Tang, et al. ∙

research

∙ 05/23/2017

Universal Style Transfer via Feature Transforms

Universal style transfer aims to transfer arbitrary visual styles to con...

0 Yijun Li, et al. ∙

research

∙ 04/03/2017

AMC: Attention guided Multi-modal Correlation Learning for Image Search

Given a user's query, traditional image search systems rank images accor...

0 Kan Chen, et al. ∙

research

∙ 03/05/2017

Diversified Texture Synthesis with Feed-forward Networks

Recent progresses on deep discriminative and generative modeling have sh...

0 Yijun Li, et al. ∙

research

∙ 01/03/2017

Learning a Mixture of Deep Networks for Single Image Super-Resolution

Single image super-resolution (SR) is an ill-posed problem which aims to...

0 Ding Liu, et al. ∙

research

∙ 07/15/2016

Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation

Understanding users' interactions with highly subjective content---like ...

0 Ruining He, et al. ∙

research

∙ 03/12/2016

Image Captioning with Semantic Attention

Automatically generating a natural language description of an image has ...

0 Quanzeng You, et al. ∙

research

∙ 07/31/2015

Deep Networks for Image Super-Resolution with Sparse Prior

Deep learning techniques have been successfully applied in many areas of...

0 Zhaowen Wang, et al. ∙

research

∙ 04/22/2015

Self-Tuned Deep Super Resolution

Deep learning has been successfully applied to image super resolution (S...

0 Zhangyang Wang, et al. ∙

research

∙ 03/03/2015

Learning Super-Resolution Jointly from External and Internal Examples

Single image super-resolution (SR) aims to estimate a high-resolution (H...

0 Zhangyang Wang, et al. ∙

research

∙ 04/24/2014

Scalable Similarity Learning using Large Margin Neighborhood Embedding

Classifying large-scale image data into object categories is an importan...

0 Zhaowen Wang, et al. ∙

Zhaowen Wang

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