In this paper, we introduce a new channel pruning method to accelerate v...
Visual object tracking (VOT) is an essential component for many applicat...
A common approach to localize 3D human joints in a synchronized and
cali...
In this paper, we consider the problem of detecting object under occlusi...
Very deep convolutional neural networks (CNNs) have been firmly establis...
MobileNet and Binary Neural Networks are two among the most widely used
...
We introduce a prediction driven method for visual tracking and segmenta...
We motivate and present feature selective anchor-free (FSAF) module, a s...
In this project, we worked on speech recognition, specifically predictin...
Non-maximum suppression (NMS) is essential for state-of-the-art object
d...
We propose a collection of three shift-based primitives for building
eff...
Model compression is an effective technique facilitating the deployment ...
We consider image classification with estimated depth. This problem fall...
In this paper, we introduce a new channel pruning method to accelerate v...
With applications to many disciplines, the traveling salesman problem (T...
Security surveillance is one of the most important issues in smart citie...
Recent years have witnessed great success of convolutional neural networ...