1.6k citations · 4.8k across the 90 of their papers we have counts for
8 papers · 2 filters
Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation
Xianming Liu, Amy Zhang, Tobias Tiecke +2
Learning from weakly-supervised data is one of the main challenges in machine learning and computer vision, especially for tasks such as image semantic segmentation where labeling…
UnitBox: An Advanced Object Detection Network
Jiahui Yu, Yuning Jiang, Zhangyang Wang +2
In present object detection systems, the deep convolutional neural networks (CNNs) are utilized to predict bounding boxes of object candidates, and have gained performance advantag…
Deep Interactive Object Selection
Ning Xu, Brian Price, Scott Cohen +2
Interactive object selection is a very important research problem and has many applications. Previous algorithms require substantial user interactions to estimate the foreground an…
Seq-NMS for Video Object Detection
Wei Han, Pooya Khorrami, Tom Le Paine +6
Video object detection is challenging because objects that are easily detected in one frame may be difficult to detect in another frame within the same clip. Recently, there have b…
How Deep Neural Networks Can Improve Emotion Recognition on Video Data
Pooya Khorrami, Tom Le Paine, Kevin Brady +2
We consider the task of dimensional emotion recognition on video data using deep learning. While several previous methods have shown the benefits of training temporal neural networ…
Brain-Inspired Deep Networks for Image Aesthetics Assessment
Zhangyang Wang, Shiyu Chang, Florin Dolcos +3
Image aesthetics assessment has been challenging due to its subjective nature. Inspired by the scientific advances in the human visual perception and neuroaesthetics, we design Bra…