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09/12/2023
Tail Gini Functional under Asymptotic Independence
Tail Gini functional is a measure of tail risk variability for systemic ...
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05/17/2023
DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation
Automatic generation of fonts can be an important aid to typeface design...
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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...
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03/13/2023
Align and Attend: Multimodal Summarization with Dual Contrastive Losses
The goal of multimodal summarization is to extract the most important in...
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10/12/2022
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos
Livestream videos have become a significant part of online learning, whe...
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10/10/2022
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
Multimedia summarization with multimodal output (MSMO) is a recently exp...
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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...
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04/07/2022
MHMS: Multimodal Hierarchical Multimedia Summarization
Multimedia summarization with multimodal output can play an essential ro...
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12/21/2021
Melody Harmonization with Controllable Harmonic Rhythm
Melody harmonization, namely generating a chord progression for a user-g...
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10/20/2021
STALP: Style Transfer with Auxiliary Limited Pairing
We present an approach to example-based stylization of images that uses ...
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06/12/2021
A Multi-Implicit Neural Representation for Fonts
Fonts are ubiquitous across documents and come in a variety of styles. T...
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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...
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10/16/2020
G-DARTS-A: Groups of Channel Parallel Sampling with Attention
Differentiable Architecture Search (DARTS) provides a baseline for searc...
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12/01/2019
Texture Hallucination for Large-Scale Painting Super-Resolution
We aim to super-resolve digital paintings, synthesizing realistic detail...
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09/17/2019
An Internal Learning Approach to Video Inpainting
We propose a novel video inpainting algorithm that simultaneously halluc...
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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. ...
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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...
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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...
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04/09/2019
Multimodal Style Transfer via Graph Cuts
An assumption widely used in recent neural style transfer methods is tha...
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03/30/2019
Dance Dance Generation: Motion Transfer for Internet Videos
This work presents computational methods for transferring body movements...
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03/03/2019
Image Super-Resolution by Neural Texture Transfer
Due to the significant information loss in low-resolution (LR) images, i...
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11/19/2018
Visual Font Pairing
This paper introduces the problem of automatic font pairing. Font pairin...
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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 ...
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08/27/2018
Wide Activation for Efficient and Accurate Image Super-Resolution
In this report we demonstrate that with same parameters and computationa...
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07/25/2018
Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Existing video prediction methods mainly rely on observing multiple hist...
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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...
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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 ...
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04/10/2018
Reference-Conditioned Super-Resolution by Neural Texture Transfer
With the recent advancement in deep learning, we have witnessed a great ...
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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...
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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...
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11/07/2017
Visually-Aware Fashion Recommendation and Design with Generative Image Models
Building effective recommender systems for domains like fashion is chall...
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10/28/2017
Exploring Asymmetric Encoder-Decoder Structure for Context-based Sentence Representation Learning
Context information plays an important role in human language understand...
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09/29/2017
Photometric Stabilization for Fast-forward Videos
Videos captured by consumer cameras often exhibit temporal variations in...
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06/28/2017
Robust Lane Tracking with Multi-mode Observation Model and Particle Filtering
Automatic lane tracking involves estimating the underlying signal from a...
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06/09/2017
Trimming and Improving Skip-thought Vectors
The skip-thought model has been proven to be effective at learning sente...
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06/09/2017
Rethinking Skip-thought: A Neighborhood based Approach
We study the skip-thought model with neighborhood information as weak su...
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05/23/2017
Universal Style Transfer via Feature Transforms
Universal style transfer aims to transfer arbitrary visual styles to con...
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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...
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03/05/2017
Diversified Texture Synthesis with Feed-forward Networks
Recent progresses on deep discriminative and generative modeling have sh...
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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...
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07/15/2016
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation
Understanding users' interactions with highly subjective content---like ...
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03/12/2016
Image Captioning with Semantic Attention
Automatically generating a natural language description of an image has ...
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07/31/2015
Deep Networks for Image Super-Resolution with Sparse Prior
Deep learning techniques have been successfully applied in many areas of...
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04/22/2015
Self-Tuned Deep Super Resolution
Deep learning has been successfully applied to image super resolution (S...
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03/03/2015
Learning Super-Resolution Jointly from External and Internal Examples
Single image super-resolution (SR) aims to estimate a high-resolution (H...
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04/24/2014