We present an efficient foveal framework to perform object detection. A ...
The widely adopted sequential variant of Non Maximum Suppression (or
Gre...
We propose RSO (random search optimization), a gradient free Markov Chai...
Deep neural networks have been shown to suffer from poor generalization ...
Most work on automated deception detection (ADD) in video has two
restri...
We provide a detailed analysis of convolutional neural networks which ar...
We present Temporal Aggregation Network (TAN) which decomposes 3D
convol...
We propose a novel approach for generating region proposals for performi...
This paper describes AutoFocus, an efficient multi-scale inference algor...
We study the robustness of object detection under the presence of missin...
We present SNIPER, an algorithm for performing efficient multi-scale tra...
We present a system for covert automated deception detection in real-lif...
We present R-FCN-3000, a large-scale real-time object detector in which
...
An analysis of different techniques for recognizing and detecting object...
We present a Temporal Context Network (TCN) for precise temporal localiz...
Style transfer is an important task in which the style of a source image...
Fast-AT is an automatic thumbnail generation system based on deep neural...
VRFP is a real-time video retrieval framework based on short text input
...
The increasing complexity of deep learning architectures is resulting in...
Complex event retrieval is a challenging research problem, especially wh...