In computer vision, significant advances have been made on object detection with the rapid
development of deep convolutional neural networks (CNN). This paper provides a …

Video description is the automatic generation of natural language sentences that describe
the contents of a given video. It has applications in human-robot interaction, hel** the …

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

While the use of bottom-up local operators in convolutional neural networks (CNNs)
matches well some of the statistics of natural images, it may also prevent such models from …

Although it is well believed for years that modeling relations between objects would help
object recognition, there has not been evidence that the idea is working in the deep learning …

We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect
to a large indoor 3D map. The contributions of this work are three-fold. First, we develop a …

We propose an end-to-end place recognition model based on a novel deep neural network.
First, we propose to exploit the spatial pyramid structure of the images to enhance the vector …

Though tremendous strides have been made in object recognition, one of the remaining
open challenges is detecting small objects. We explore three aspects of the problem in the …

In this paper, we propose a deep learning framework for malware classification. There has
been a huge increase in the volume of malware in recent years which poses a serious …

How do humans navigate to target objects in novel scenes? Do we use the
semantic/functional priors we have built over years to efficiently search and navigate? For …