activity
20142026
most citedFlowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis

81 citations · 263 across the 27 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CV2018★ 37 cited

Improving Semantic Segmentation via Video Propagation and Label Relaxation

Yi Zhu, Karan Sapra, Fitsum A. Reda +4

Semantic segmentation requires large amounts of pixel-wise annotations to learn accurate models. In this paper, we present a video prediction-based methodology to scale up training…

cs.CV2018★ 74 cited

Partial Convolution based Padding

Guilin Liu, Kevin J. Shih, Ting-Chun Wang +5

In this paper, we present a simple yet effective padding scheme that can be used as a drop-in module for existing convolutional neural networks. We call it partial convolution base…

cs.CV2018★ 8 cited

An Interpretable Model for Scene Graph Generation

Ji Zhang, Kevin Shih, Andrew Tao +2

We propose an efficient and interpretable scene graph generator. We consider three types of features: visual, spatial and semantic, and we use a late fusion strategy such that each…

cs.CV2018★ 6 cited

Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge

Ji Zhang, Kevin Shih, Andrew Tao +2

This article describes the model we built that achieved 1st place in the OpenImage Visual Relationship Detection Challenge on Kaggle. Three key factors contribute the most to our s…

cs.CV2018★ 17 cited

Revisiting Image-Language Networks for Open-ended Phrase Detection

Bryan A. Plummer, Kevin J. Shih, Yichen Li +4

Most existing work that grounds natural language phrases in images starts with the assumption that the phrase in question is relevant to the image. In this paper we address a more…

cs.CV2018

SDCNet: Video Prediction Using Spatially-Displaced Convolution

Fitsum A. Reda, Guilin Liu, Kevin J. Shih +5

We present an approach for high-resolution video frame prediction by conditioning on both past frames and past optical flows. Previous approaches rely on resampling past frames, gu…

cs.CV2018★ 20 cited

Image Inpainting for Irregular Holes Using Partial Convolutions

Guilin Liu, Fitsum A. Reda, Kevin J. Shih +3

Existing deep learning based image inpainting methods use a standard convolutional network over the corrupted image, using convolutional filter responses conditioned on both valid…