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Aug 20, 2019
Computer Vision
Machine Learning

Image Synthesis From Reconfigurable Layout and Style

Despite remarkable recent progress on both unconditional and conditional image synthesis, it remains a long-standing problem to learn generative mode…
Aug 20, 2019
By haotan
Computation and Language
Computer Vision
Machine Learning

LXMERT: Learning Cross-Modality Encoder Representations from Transf…

Vision-and-language reasoning requires an understanding of visual concepts, language semantics, and, most importantly, the alignment and relationship…
Aug 20, 2019
By chwan
Machine Learning
Signal Processing

Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using F…

Circadian rhythms govern most essential biological processes in the human body; they influence multiple biological activities including sleep, perfor…
Aug 20, 2019
By ychao
Computer Vision

Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchic…

Recent progress on physics-based character animation has shown impressive breakthroughs on human motion synthesis, through the imitation of motion ca…
Aug 20, 2019
By r1misra
Machine Learning

Sarcasm Detection using Hybrid Neural Network

Sarcasm Detection has enjoyed great interest from the research community, however the task of predicting sarcasm in a text remains an elusive problem…
Aug 20, 2019
Computer Vision

Blind Image Deconvolution using Pretrained Generative Priors

This paper proposes a novel approach to regularize the ill-posed blind image deconvolution (blind image deblurring) problem using deep generative net…
Aug 20, 2019
Computation and Language

Deep Contextualized Word Embeddings in Transition-Based and Graph-Bas…

Transition-based and graph-based dependency parsers have previously been shown to have complementary strengths and weaknesses: transition-based parse…
Aug 20, 2019
By daek
Machine Learning

Expected path length on random manifolds

Manifold learning seeks a low dimensional representation that faithfully captures the essence of data. Current methods can successfully learn such re…
Aug 20, 2019
By 7D
Image and Video Processing
Computer Vision
Machine Learning

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

In this work, we present a fully automatic method to segment cardiac structures from late-gadolinium enhanced (LGE) images without using labelled LGE…
Aug 20, 2019
Computer Vision

Learning Semantic-Specific Graph Representation for Multi-Label Image…

Recognizing multiple labels of images is a practical and challenging task, and significant progress has been made by searching semantic-aware regions…
Aug 20, 2019
Computer Vision

A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models

This paper presents a novel framework to generate realistic face video of an anchor, who is reading certain news. This task is also known as Virtual …
Aug 20, 2019
Computer Vision

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

By benefiting from perceptual losses, recent studies have improved significantly the performance of the super-resolution task, where a high-resolutio…
Aug 20, 2019
Machine Learning

A Noise-Robust Fast Sparse Bayesian Learning Model

This paper utilizes the hierarchical model structure from the Bayesian Lasso in the Sparse Bayesian Learning process to develop a new type of probabi…
Aug 20, 2019
Computation and Language
Machine Learning

Latent-Variable Non-Autoregressive Neural Machine Translation with …

Although neural machine translation models reached high translation quality, the autoregressive nature makes inference difficult to parallelize and l…
Aug 20, 2019
Computer Vision

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled…

We describe an end-to-end method for recovering 3D human body mesh from single images and monocular videos. Different from the existing methods try t…
Aug 20, 2019
By ericw
Computation and Language
Machine Learning

Universal Adversarial Triggers for NLP

Adversarial examples highlight model vulnerabilities and are useful for evaluation and interpretation. We define universal adversarial triggers: inpu…
Aug 20, 2019
By vlazova
Computer Vision
Graphics

360-Degree Textures of People in Clothing from a Single Image

In this paper we predict a full 3D avatar of a person from a single image. We infer texture and geometry in the UV-space of the SMPL model using an i…
Aug 20, 2019
Machine Learning

Graph Neural Networks with High-order Feature Interactions

Network representation learning, a fundamental research problem which aims at learning low-dimension node representations on graph-structured data, h…
Aug 20, 2019
Computer Vision

BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from …

We present a learning-based method to estimate the object bounding box from its 2D bird's-eye view (BEV) LiDAR points. Our method, entitled BoxNet, e…
Aug 19, 2019
By lz
Computer Vision
Machine Learning

Dynamic Graph Message Passing Networks

Modelling long-range dependencies is critical for complex scene understanding tasks such as semantic segmentation and object detection. Although CNNs…
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