University of Rochester

∙ Rochester , United States ∙ 0 followers

The University of Rochester, often simply referred to as Rochester, is a private research university in Rochester, New York.

TailorGAN: Making User-Defined Fashion Designs

Attribute editing has become an important and emerging topic of computer...
01/17/2020 ∙ by Lele Chen, et al. ∙ 29 ∙ share

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UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Humor is a unique and creative communicative behavior displayed during s...
04/14/2019 ∙ by Md. Kamrul Hasan, et al. ∙ 22 ∙ share

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Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching

Existing image-text matching approaches typically infer the similarity o...
02/20/2020 ∙ by Tianlang Chen, et al. ∙ 21 ∙ share

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Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

In this paper, we explore the space-time video super-resolution task, wh...
02/26/2020 ∙ by Xiaoyu Xiang, et al. ∙ 20 ∙ share

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Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection

We address weakly-supervised video actor-action segmentation (VAAS), whi...
03/29/2020 ∙ by Jie Chen, et al. ∙ 20 ∙ share

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TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning

The successful application of deep learning to many visual recognition t...
12/19/2019 ∙ by Zhongjie Yu, et al. ∙ 17 ∙ share

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Semantic Neural Machine Translation using AMR

It is intuitive that semantic representations can be useful for machine ...
02/19/2019 ∙ by Linfeng Song, et al. ∙ 16 ∙ share

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Anatomy-aware 3D Human Pose Estimation in Videos

In this work, we propose a new solution for 3D human pose estimation in ...
02/24/2020 ∙ by Tianlang Chen, et al. ∙ 16 ∙ share

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Exploiting Temporal Relationships in Video Moment Localization with Natural Language

We address the problem of video moment localization with natural languag...
08/11/2019 ∙ by Songyang Zhang, et al. ∙ 14 ∙ share

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Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines

Building datasets of creative text, such as humor, is quite challenging....
02/05/2020 ∙ by Nabil Hossain, et al. ∙ 13 ∙ share

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CariGAN: Caricature Generation through Weakly Paired Adversarial Learning

Caricature generation is an interesting yet challenging task. The primar...
11/01/2018 ∙ by Wenbin Li, et al. ∙ 12 ∙ share

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Deep Audio Prior

Deep convolutional neural networks are known to specialize in distilling...
12/21/2019 ∙ by Yapeng Tian, et al. ∙ 12 ∙ share

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Grounding-Tracking-Integration

In this paper, we study tracking by language that localizes the target b...
12/13/2019 ∙ by Zhengyuan Yang, et al. ∙ 10 ∙ share

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Weakly Supervised Object Localization with Inter-Intra Regulated CAMs

Weakly supervised object localization (WSOL) aims to locate objects in i...
11/17/2019 ∙ by Guofeng Cui, et al. ∙ 9 ∙ share

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Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise Loss

We devise a cascade GAN approach to generate talking face video, which i...
05/09/2019 ∙ by Lele Chen, et al. ∙ 8 ∙ share

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TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

An unsupervised image-to-image translation (UI2I) task deals with learni...
04/09/2020 ∙ by Jianxin Lin, et al. ∙ 7 ∙ share

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Fast Universal Style Transfer for Artistic and Photorealistic Rendering

Universal style transfer is an image editing task that renders an input ...
07/06/2019 ∙ by Jie An, et al. ∙ 6 ∙ share

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M-BERT: Injecting Multimodal Information in the BERT Structure

Multimodal language analysis is an emerging research area in natural lan...
08/15/2019 ∙ by Wasifur Rahman, et al. ∙ 6 ∙ share

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Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision

Example-guided image synthesis has been recently attempted to synthesize...
11/27/2019 ∙ by Haitian Zheng, et al. ∙ 6 ∙ share

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Learning from Interventions using Hierarchical Policies for Safe Learning

Learning from Demonstrations (LfD) via Behavior Cloning (BC) works well ...
12/04/2019 ∙ by Jing Bi, et al. ∙ 6 ∙ share

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What comprises a good talking-head video generation?: A Survey and Benchmark

Over the years, performance evaluation has become essential in computer ...
05/07/2020 ∙ by Lele Chen, et al. ∙ 6 ∙ share

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On Vocabulary Reliance in Scene Text Recognition

The pursuit of high performance on public benchmarks has been the drivin...
05/08/2020 ∙ by Zhaoyi Wan, et al. ∙ 6 ∙ share

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Video Re-localization

Many methods have been developed to help people find the video contents ...
08/05/2018 ∙ by Yang Feng, et al. ∙ 4 ∙ share

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Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations

Gaussian Process Factor Analysis (GPFA) has been broadly applied to the ...
06/07/2019 ∙ by Stephen L. Keeley, et al. ∙ 3 ∙ share

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Generative Mask Pyramid Network forCT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction

A conventional approach to computed tomography (CT) or cone beam CT (CBC...
06/29/2019 ∙ by Haofu Liao, et al. ∙ 3 ∙ share

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

Font selection is one of the most important steps in a design workflow. ...
09/04/2019 ∙ by Tianlang Chen, et al. ∙ 3 ∙ share

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Assembling Semantically-Disentangled Representations for Predictive-Generative Models via Adaptation from Synthetic Domain

Deep neural networks can form high-level hierarchical representations of...
02/23/2020 ∙ by Burkay Donderici, et al. ∙ 3 ∙ share

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Revealing patterns in HIV viral load data and classifying patients via a novel machine learning cluster summarization method

HIV RNA viral load (VL) is an important outcome variable in studies of H...
04/25/2018 ∙ by Samir Farooq, et al. ∙ 2 ∙ share

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Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data

Acute Kidney Injury (AKI), a sudden decline in kidney function, is assoc...
07/25/2018 ∙ by Samuel J. Weisenthal, et al. ∙ 2 ∙ share

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Navigation by Imitation in a Pedestrian-Rich Environment

Deep neural networks trained on demonstrations of human actions give rob...
11/01/2018 ∙ by Jing Bi, et al. ∙ 2 ∙ share

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ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Current deep neural network based approaches to computed tomography (CT)...
08/03/2019 ∙ by Haofu Liao, et al. ∙ 2 ∙ share

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Adaptive Offline Quintuplet Loss for Image-Text Matching

Existing image-text matching approaches typically leverage triplet loss ...
03/07/2020 ∙ by Tianlang Chen, et al. ∙ 2 ∙ share

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Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks

Taking a photo outside, can we predict the immediate future, e.g., how w...
09/22/2017 ∙ by Wei Xiong, et al. ∙ 0 ∙ share

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Vehicle Tracking in Wide Area Motion Imagery via Stochastic Progressive Association Across Multiple Frames (SPAAM)

Vehicle tracking in Wide Area Motion Imagery (WAMI) relies on associatin...
09/18/2017 ∙ by Ahmed Elliethy, et al. ∙ 0 ∙ share

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An Interactive Greedy Approach to Group Sparsity in High Dimension

Sparsity learning with known grouping structures has received considerab...
07/10/2017 ∙ by Wei Qian, et al. ∙ 0 ∙ share

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What the Language You Tweet Says About Your Occupation

Many aspects of people's lives are proven to be deeply connected to thei...
01/22/2017 ∙ by Tianran Hu, et al. ∙ 0 ∙ share

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On The Projection Operator to A Three-view Cardinality Constrained Set

The cardinality constraint is an intrinsic way to restrict the solution ...
03/21/2017 ∙ by Haichuan Yang, et al. ∙ 0 ∙ share

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Cultural Diffusion and Trends in Facebook Photographs

Online social media is a social vehicle in which people share various mo...
05/24/2017 ∙ by Quanzeng You, et al. ∙ 0 ∙ share

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TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation

Action segmentation as a milestone towards building automatic systems to...
05/22/2017 ∙ by Li Ding, et al. ∙ 0 ∙ share

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A Computational Framework for Nonlinear Dimensionality Reduction of Large Data Sets: The Exploratory Inspection Machine (XIM)

In this paper, we present a novel computational framework for nonlinear ...
06/10/2011 ∙ by Axel Wismüller, et al. ∙ 0 ∙ share

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The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning

Recently there has been significant interest in training machine-learnin...
11/16/2016 ∙ by Hantian Zhang, et al. ∙ 0 ∙ share

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Inferring Fine-grained Details on User Activities and Home Location from Social Media: Detecting Drinking-While-Tweeting Patterns in Communities

Nearly all previous work on geo-locating latent states and activities fr...
03/10/2016 ∙ by Nabil Hossain, et al. ∙ 0 ∙ share

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Towards Automatic Learning of Procedures from Web Instructional Videos

The potential for agents, whether embodied or software, to learn by obse...
03/28/2017 ∙ by Luowei Zhou, et al. ∙ 0 ∙ share

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Inferring Restaurant Styles by Mining Crowd Sourced Photos from User-Review Websites

When looking for a restaurant online, user uploaded photos often give pe...
11/19/2016 ∙ by Haofu Liao, et al. ∙ 0 ∙ share

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Image Credibility Analysis with Effective Domain Transferred Deep Networks

Numerous fake images spread on social media today and can severely jeopa...
11/16/2016 ∙ by Zhiwei Jin, et al. ∙ 0 ∙ share

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When Fashion Meets Big Data: Discriminative Mining of Best Selling Clothing Features

With the prevalence of e-commence websites and the ease of online shoppi...
11/11/2016 ∙ by Kuan-Ting Chen, et al. ∙ 0 ∙ share

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Watch What You Just Said: Image Captioning with Text-Conditional Attention

Attention mechanisms have attracted considerable interest in image capti...
06/15/2016 ∙ by Luowei Zhou, et al. ∙ 0 ∙ share

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Decentralized learning for wireless communications and networking

This chapter deals with decentralized learning algorithms for in-network...
03/30/2015 ∙ by Georgios B. Giannakis, et al. ∙ 0 ∙ share

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TwitterPaul: Extracting and Aggregating Twitter Predictions

This paper introduces TwitterPaul, a system designed to make use of Soci...
11/28/2012 ∙ by Naushad UzZaman, et al. ∙ 0 ∙ share

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Image Captioning with Semantic Attention

Automatically generating a natural language description of an image has ...
03/12/2016 ∙ by Quanzeng You, et al. ∙ 0 ∙ share

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