122 citations · 126 across the 2 of their papers we have counts for
5 papers
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
Lokesh Boominathan, Srinivas S S Kruthiventi, R. Venkatesh Babu
Our work proposes a novel deep learning framework for estimating crowd density from static images of highly dense crowds. We use a combination of deep and shallow, fully convolutio…
SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition
Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S S Kruthiventi +1
Current state of the art object recognition architectures achieve impressive performance but are typically specialized for a single depictive style (e.g. photos only, sketches only…
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri +3
Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features. However, of late, deep lea…
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations
Srinivas S. S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu
Understanding and predicting the human visual attentional mechanism is an active area of research in the fields of neuroscience and computer vision. In this work, we propose DeepFi…
Crowd Flow Segmentation in Compressed Domain using CRF
Srinivas S. S. Kruthiventi, R. Venkatesh Babu
Crowd flow segmentation is an important step in many video surveillance tasks. In this work, we propose an algorithm for segmenting flows in H.264 compressed videos in a completely…