research
∙
08/21/2023
VQA Therapy: Exploring Answer Differences by Visually Grounding Answers
Visual question answering is a task of predicting the answer to a questi...
share
research
∙
07/20/2023
Interactive Segmentation for Diverse Gesture Types Without Context
Interactive segmentation entails a human marking an image to guide how a...
research
∙
05/14/2023
Helping Visually Impaired People Take Better Quality Pictures
Perception-based image analysis technologies can be used to help visuall...
research
∙
01/12/2023
Salient Object Detection for Images Taken by People With Vision Impairments
Salient object detection is the task of producing a binary mask for an i...
research
∙
10/12/2022
Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer
Photorealistic style transfer is the task of synthesizing a realistic-lo...
research
∙
07/24/2022
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments
We introduce a few-shot localization dataset originating from photograph...
research
∙
03/25/2022
PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models
Photorealistic style transfer entails transferring the style of a refere...
research
∙
02/04/2022
Grounding Answers for Visual Questions Asked by Visually Impaired People
Visual question answering is the task of answering questions about image...
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...
research
∙
10/22/2021
PhotoWCT^2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals
Photorealistic style transfer is an image editing task with the goal to ...
research
∙
10/07/2020
Vision Skills Needed to Answer Visual Questions
The task of answering questions about images has garnered attention as a...
research
∙
09/29/2020
CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos
Crowdsourcing is a valuable approach for tracking objects in videos in a...
research
∙
04/06/2020
Objectness-Aware One-Shot Semantic Segmentation
While deep convolutional neural networks have led to great progress in i...
research
∙
03/27/2020
Assessing Image Quality Issues for Real-World Problems
We introduce a new large-scale dataset that links the assessment of imag...
research
∙
03/27/2020
Assessing Image Quality Issues for Real-World Problem
We introduce a new large-scale dataset that links the assessment of imag...
research
∙
02/20/2020
Captioning Images Taken by People Who Are Blind
While an important problem in the vision community is to design algorith...
research
∙
12/19/2019
VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets
We present a visualization tool to exhaustively search and browse throug...
research
∙
08/12/2019
Why Does a Visual Question Have Different Answers?
Visual question answering is the task of returning the answer to a quest...
research
∙
08/10/2019
Unconstrained Foreground Object Search
Many people search for foreground objects to use when editing images. Wh...
research
∙
04/30/2019
Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch
Foreground object segmentation is a critical step for many image analysi...
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 ...
research
∙
02/22/2018
VizWiz Grand Challenge: Answering Visual Questions from Blind People
The study of algorithms to automatically answer visual questions current...
research
∙
08/29/2016
