b'Scott Cohen'

research

∙ 08/24/2023

SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data

We propose Subject-Conditional Relation Detection SCoRD, where condition...

0 Ziyan Yang, et al. ∙

research

∙ 04/23/2023

GamutMLP: A Lightweight MLP for Color Loss Recovery

Cameras and image-editing software often process images in the wide-gamu...

0 Hoang M. Le, et al. ∙

research

∙ 12/13/2022

Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators

Structure-guided image completion aims to inpaint a local region of an i...

0 Haitian Zheng, et al. ∙

research

∙ 12/02/2022

ObjectStitch: Generative Object Compositing

Object compositing based on 2D images is a challenging problem since it ...

0 Yizhi Song, et al. ∙

research

∙ 03/22/2022

CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training

Recent image inpainting methods have made great progress but often strug...

0 Haitian Zheng, et al. ∙

research

∙ 12/21/2021

Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning

Generalized few-shot semantic segmentation was introduced to move beyond...

7 Josh Myers-Dean, et al. ∙

research

∙ 06/17/2021

Learning to Predict Visual Attributes in the Wild

Visual attributes constitute a large portion of information contained in...

0 Khoi Pham, et al. ∙

research

∙ 12/14/2020

Semantic Layout Manipulation with High-Resolution Sparse Attention

We tackle the problem of semantic image layout manipulation, which aims ...

0 Haitian Zheng, et al. ∙

research

∙ 08/03/2020

PhraseCut: Language-based Image Segmentation in the Wild

We consider the problem of segmenting image regions given a natural lang...

5 Chenyun Wu, et al. ∙

research

∙ 04/06/2020

Objectness-Aware One-Shot Semantic Segmentation

While deep convolutional neural networks have led to great progress in i...

8 Yinan Zhao, et al. ∙

research

∙ 03/25/2020

DeepStrip: High Resolution Boundary Refinement

In this paper, we target refining the boundaries in high resolution imag...

4 Peng Zhou, et al. ∙

research

∙ 03/17/2020

Getting to 99

Interactive object cutout tools are the cornerstone of the image editing...

0 Marco Forte, et al. ∙

research

∙ 09/05/2019

Deep Visual Template-Free Form Parsing

Automatic, template-free extraction of information from form images is c...

12 Brian Davis, et al. ∙

research

∙ 08/10/2019

Unconstrained Foreground Object Search

Many people search for foreground objects to use when editing images. Wh...

3 Yinan Zhao, et al. ∙

research

∙ 08/05/2019

Answering Questions about Data Visualizations using Efficient Bimodal Fusion

Chart question answering (CQA) is a newly proposed visual question answe...

1 Kushal Kafle, et al. ∙

research

∙ 06/07/2019

Figure Captioning with Reasoning and Sequence-Level Training

Figures, such as bar charts, pie charts, and line plots, are widely used...

0 Charles Chen, 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...

0 Ning Xu, et al. ∙

research

∙ 08/18/2018

Concept Mask: Large-Scale Segmentation from Semantic Concepts

Existing works on semantic segmentation typically consider a small numbe...

4 Yufei Wang, et al. ∙

research

∙ 03/22/2018

Guided Image Inpainting: Replacing an Image Region by Pulling Content from Another Image

Deep generative models have shown success in automatically synthesizing ...

0 Yinan Zhao, et al. ∙

research

∙ 03/12/2018

Discriminability objective for training descriptive captions

One property that remains lacking in image captions generated by contemp...

0 Ruotian Luo, et al. ∙

research

∙ 01/24/2018

DVQA: Understanding Data Visualizations via Question Answering

Bar charts are an effective way for humans to convey information to each...

0 Kushal Kafle, et al. ∙

research

∙ 07/02/2017

Deep GrabCut for Object Selection

Most previous bounding-box-based segmentation methods assume the boundin...

0 Ning Xu, et al. ∙

research

∙ 04/11/2017

Forecasting Human Dynamics from Static Images

This paper presents the first study on forecasting human dynamics from s...

0 Yu-Wei Chao, et al. ∙

research

∙ 03/10/2017

Deep Image Matting

Image matting is a fundamental computer vision problem and has many appl...

0 Ning Xu, et al. ∙

research

∙ 06/08/2016

Progressive Attention Networks for Visual Attribute Prediction

We propose a novel attention model that can accurately attend to target ...

0 Paul Hongsuck Seo, et al. ∙

research

∙ 04/02/2016

Automatic Annotation of Structured Facts in Images

Motivated by the application of fact-level image understanding, we prese...

0 Mohamed Elhoseiny, et al. ∙

research

∙ 03/15/2016

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

We develop a deep learning algorithm for contour detection with a fully ...

0 Jimei Yang, et al. ∙

research

∙ 03/13/2016

Deep Interactive Object Selection

Interactive object selection is a very important research problem and ha...

0 Ning Xu, et al. ∙

research

∙ 11/16/2015

Sherlock: Scalable Fact Learning in Images

We study scalable and uniform understanding of facts in images. Existing...

0 Mohamed Elhoseiny, et al. ∙

research

∙ 05/01/2015

Joint Object and Part Segmentation using Deep Learned Potentials

Segmenting semantic objects from images and parsing them into their resp...

0 Peng Wang, et al. ∙

Scott Cohen

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