b'Snap Inc.'

research

∙ 11/02/2021

StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN

Recently, StyleGAN has enabled various image manipulation and editing ta...

Min Jin Chong, et al. ∙

research

∙ 12/20/2018

Animating Arbitrary Objects via Deep Motion Transfer

This paper introduces a novel deep learning framework for image animatio...

Aliaksandr Siarohin, et al. ∙

research

∙ 03/27/2019

Laplace Landmark Localization

Landmark localization in images and videos is a classic problem solved i...

Joseph P. Robinson, et al. ∙

research

∙ 05/21/2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

Knowledge graphs (KGs) facilitate a wide variety of applications due to ...

Juanhui Li, et al. ∙

research

∙ 03/03/2019

3D Hand Shape and Pose Estimation from a Single RGB Image

This work addresses a novel and challenging problem of estimating the fu...

Liuhao Ge, et al. ∙

research

∙ 06/10/2021

Automated Self-Supervised Learning for Graphs

Graph self-supervised learning has gained increasing attention due to it...

Wei Jin, et al. ∙

research

∙ 10/23/2020

A Caption Is Worth A Thousand Images: Investigating Image Captions for Multimodal Named Entity Recognition

Multimodal named entity recognition (MNER) requires to bridge the gap be...

Shuguang Chen, et al. ∙

research

∙ 06/14/2021

Flow Guided Transformable Bottleneck Networks for Motion Retargeting

Human motion retargeting aims to transfer the motion of one person in a ...

Jian Ren, et al. ∙

research

∙ 07/25/2019

Y-Autoencoders: disentangling latent representations via sequential-encoding

In the last few years there have been important advancements in generati...

Massimiliano Patacchiola, et al. ∙

research

∙ 09/04/2021

Data Augmentation for Cross-Domain Named Entity Recognition

Current work in named entity recognition (NER) shows that data augmentat...

Shuguang Chen, et al. ∙

research

∙ 09/16/2021

DisUnknown: Distilling Unknown Factors for Disentanglement Learning

Disentangling data into interpretable and independent factors is critica...

Sitao Xiang, et al. ∙

research

∙ 04/22/2022

Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation

We present a novel method for performing flexible, 3D-aware image conten...

Verica Lazova, et al. ∙

research

∙ 09/10/2017

Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach

Emotion recognition from facial expressions is tremendously useful, espe...

Bowen Cheng, et al. ∙

research

∙ 02/04/2018

Efficient Video Object Segmentation via Network Modulation

Video object segmentation targets at segmenting a specific object throug...

Linjie Yang, et al. ∙

research

∙ 12/06/2017

Deep Regionlets for Object Detection

A key challenge in generic object detection is being to handle large var...

Hongyu Xu, et al. ∙

research

∙ 11/30/2017

Hybrid VAE: Improving Deep Generative Models using Partial Observations

Deep neural network models trained on large labeled datasets are the sta...

Sergey Tulyakov, et al. ∙

research

∙ 04/12/2017

Deep Reinforcement Learning-based Image Captioning with Embedding Reward

Image captioning is a challenging problem owing to the complexity in und...

Zhou Ren, et al. ∙

research

∙ 06/13/2017

SEP-Nets: Small and Effective Pattern Networks

While going deeper has been witnessed to improve the performance of conv...

Zhe Li, et al. ∙

research

∙ 12/15/2017

Unsupervised Domain Adaptation for 3D Keypoint Prediction from a Single Depth Scan

In this paper, we introduce a novel unsupervised domain adaptation techn...

Xingyi Zhou, et al. ∙

research

∙ 11/21/2016

Dense Captioning with Joint Inference and Visual Context

Dense captioning is a newly emerging computer vision topic for understan...

Linjie Yang, et al. ∙

research

∙ 01/05/2018

Learning 3D-FilterMap for Deep Convolutional Neural Networks

We present a novel and compact architecture for deep Convolutional Neura...

Yingzhen Yang, et al. ∙

research

∙ 01/19/2018

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding

Multi-view networks are ubiquitous in real-world applications. In order ...

Yu Shi, et al. ∙

research

∙ 02/22/2018

Multimodal Named Entity Recognition for Short Social Media Posts

We introduce a new task called Multimodal Named Entity Recognition (MNER...

Seungwhan Moon, et al. ∙

research

∙ 03/25/2018

StarMap for Category-Agnostic Keypoint and Viewpoint Estimation

Semantic keypoints provide concise abstractions for a variety of visual ...

Xingyi Zhou, et al. ∙

research

∙ 04/24/2018

Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings

Fake news may be intentionally created to promote economic, political an...

Gisel Bastidas Guacho, et al. ∙

research

∙ 05/29/2018

Learn to Combine Modalities in Multimodal Deep Learning

Combining complementary information from multiple modalities is intuitiv...

Kuan Liu, et al. ∙

research

∙ 07/11/2018

Differentially-Private "Draw and Discard" Machine Learning

In this work, we propose a novel framework for privacy-preserving client...

Vasyl Pihur, et al. ∙

research

∙ 08/14/2018

False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments

Online controlled experiments (a.k.a. A/B testing) have been used as the...

Yuxiang Xie, 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...

Jiahui Yu, et al. ∙

research

∙ 09/03/2018

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

Learning long-term spatial-temporal features are critical for many video...

Ning Xu, et al. ∙

research

∙ 09/06/2018

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Learning long-term spatial-temporal features are critical for many video...

Ning Xu, et al. ∙

research

∙ 10/16/2018

Deep neural network based i-vector mapping for speaker verification using short utterances

Text-independent speaker recognition using short utterances is a highly ...

Jinxi Guo, et al. ∙

research

∙ 11/28/2018

Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection

In this paper, we propose a novel object detection algorithm named "Deep...

Hongyu Xu, et al. ∙

research

∙ 02/26/2019

Analyzing the Use of Camera Glasses in the Wild

Camera glasses enable people to capture point-of-view videos using a com...

Taryn Bipat, et al. ∙

research

∙ 03/11/2019

Singing voice conversion with non-parallel data

Singing voice conversion is a task to convert a song sang by a source si...

Xin Chen, et al. ∙

research

∙ 03/17/2019

Impact of Contextual Factors on Snapchat Public Sharing

Public sharing is integral to online platforms. This includes the popula...

Hana Habib, et al. ∙

research

∙ 03/29/2019

Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering

Tracking user reported bugs requires considerable engineering effort in ...

Lahari Poddar, et al. ∙

research

∙ 04/12/2019

Animo: Sharing Biosignals on a Smartwatch for Lightweight Social Connection

We present Animo, a smartwatch app that enables people to share and view...

Fannie Liu, et al. ∙

research

∙ 07/03/2019

EVA: Generating Emotional Behavior of Virtual Agents using Expressive Features of Gait and Gaze

We present a novel, real-time algorithm, EVA, for generating virtual age...

Tanmay Randhavane, et al. ∙

research

∙ 08/07/2019

Blocks: Collaborative and Persistent Augmented Reality Experiences

We introduce Blocks, a mobile application that enables people to co-crea...

Anhong Guo, et al. ∙

research

∙ 08/16/2019

Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation

We introduce a novel domain adaptation formulation from synthetic datase...

Zhizhong Li, et al. ∙

research

∙ 08/19/2019

SilceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs

Given the reach of web platforms, bad actors have considerable incentive...

Hamed Nilforoshan, et al. ∙

research

∙ 08/19/2019

SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs

Given the reach of web platforms, bad actors have considerable incentive...

Hamed Nilforoshan, et al. ∙

research

∙ 09/05/2019

Neural Rule Grounding for Low-Resource Relation Extraction

While deep neural models have gained successes on information extraction...

Wenxuan Zhou, et al. ∙

research

∙ 09/29/2019

I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application

As online platforms are striving to get more users, a critical challenge...

Carl Yang, et al. ∙

research

∙ 02/29/2020

First Order Motion Model for Image Animation

Image animation consists of generating a video sequence so that an objec...

Aliaksandr Siarohin, et al. ∙

research

∙ 04/03/2020

Sifter: A Hybrid Workflow for Theme-based Video Curation at Scale

User-generated content platforms curate their vast repositories into the...

Yan Chen, et al. ∙

research

∙ 05/08/2020

HiJoD: Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition

Distinguishing between misinformation and real information is one of the...

Sara Abdali, et al. ∙

research

∙ 06/10/2020

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

With the rapid growth and prevalence of social network applications (App...

Xianfeng Tang, et al. ∙

research

∙ 06/10/2020

Revisiting visual-inertial structure from motion for odometry and SLAM initialization

In this paper, an efficient closed-form solution for the state initializ...

Georgios Evangelidis, et al. ∙

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