research
∙
06/07/2023
BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis
A major bottleneck of interdisciplinary computer vision (CV) research is...
share
research
∙
11/27/2022
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation
While transformers have greatly boosted performance in semantic segmenta...
research
∙
05/19/2022
A graph-transformer for whole slide image classification
Deep learning is a powerful tool for whole slide image (WSI) analysis. T...
research
∙
04/01/2022
A Unified Framework for Domain Adaptive Pose Estimation
While pose estimation is an important computer vision task, it requires ...
research
∙
09/18/2020
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation
Unsupervised domain adaptation for semantic segmentation has been intens...
research
∙
08/16/2020
OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames
When journalists cover a news story, they can cover the story from multi...
research
∙
08/12/2020
SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors
We present a new, publicly-available image dataset generated by the NVID...
research
∙
02/12/2020
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
In the context of building an intelligent tutoring system (ITS), which i...
research
∙
02/11/2020
Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets
We report results of a comparison of the accuracy of crowdworkers and se...
research
∙
12/03/2019
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
In the past decade, deep learning based visual object detection has rece...
research
∙
11/16/2019
SA-Text: Simple but Accurate Detector for Text of Arbitrary Shapes
We introduce a new framework for text detection named SA-Text meaning "S...
research
∙
08/31/2019
Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types
Monitoring population-level changes in diet could be useful for educatio...
research
∙
08/04/2019
Deep Neural Network for Semantic-based Text Recognition in Images
State-of-the-art text spotting systems typically aim to detect isolated ...
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
∙
01/11/2019
BUOCA: Budget-Optimized Crowd Worker Allocation
Due to concerns about human error in crowdsourcing, it is standard pract...
research
∙
10/03/2018
SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset
Visual complexity identifies the level of intricacy and details in an im...
research
∙
02/02/2017
Automating Image Analysis by Annotating Landmarks with Deep Neural Networks
Image and video analysis is often a crucial step in the study of animal ...
research
∙
08/31/2016
Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election
Opinions about the 2016 U.S. Presidential Candidates have been expressed...
research
∙
07/26/2016
Salient Object Subitizing
We study the problem of Salient Object Subitizing, i.e. predicting the e...
research
∙
07/05/2011