373 citations · 1.1k across the 25 of their papers we have counts for
10 papers · 1 filter
Multimodal Wildland Fire Smoke Detection
Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra +9
Research has shown that climate change creates warmer temperatures and drier conditions, leading to longer wildfire seasons and increased wildfire risks in the United States. These…
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection
Anshuman Dewangan, Yash Pande, Hans-Werner Braun +5
The size and frequency of wildland fires in the western United States have dramatically increased in recent years. On high-fire-risk days, a small fire ignition can rapidly grow an…
Autofocus Layer for Semantic Segmentation
Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha +4
We propose the autofocus convolutional layer for semantic segmentation with the objective of enhancing the capabilities of neural networks for multi-scale processing. Autofocus lay…
Recognizing and Curating Photo Albums via Event-Specific Image Importance
Yufei Wang, Zhe Lin, Xiaohui Shen +3
Automatic organization of personal photos is a problem with many real world ap- plications, and can be divided into two main tasks: recognizing the event type of the photo collecti…
Hierarchical Cellular Automata for Visual Saliency
Yao Qin, Mengyang Feng, Huchuan Lu +1
Saliency detection, finding the most important parts of an image, has become increasingly popular in computer vision. In this paper, we introduce Hierarchical Cellular Automata (HC…
Learning to see people like people
Amanda Song, Linjie Li, Chad Atalla +1
Humans make complex inferences on faces, ranging from objective properties (gender, ethnicity, expression, age, identity, etc) to subjective judgments (facial attractiveness, trust…
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition
Yufei Wang, Zhe Lin, Xiaohui Shen +2
Recently, there has been a lot of interest in automatically generating descriptions for an image. Most existing language-model based approaches for this task learn to generate an i…
Understanding Convolution for Semantic Segmentation
Panqu Wang, Pengfei Chen, Ye Yuan +4
Recent advances in deep learning, especially deep convolutional neural networks (CNNs), have led to significant improvement over previous semantic segmentation systems. Here we sho…
Basic Level Categorization Facilitates Visual Object Recognition
Panqu Wang, Garrison W. Cottrell
Recent advances in deep learning have led to significant progress in the computer vision field, especially for visual object recognition tasks. The features useful for object class…
Efficient Visual Coding: From Retina To V2
Honghao Shan, Garrison Cottrell
The human visual system has a hierarchical structure consisting of layers of processing, such as the retina, V1, V2, etc. Understanding the functional roles of these visual process…