99 citations · 216 across the 5 of their papers we have counts for
5 papers
Completely Self-Supervised Crowd Counting via Distribution Matching
Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph +3
Dense crowd counting is a challenging task that demands millions of head annotations for training models. Though existing self-supervised approaches could learn good representation…
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha Narayanan Sundararaman +2
We introduce a detection framework for dense crowd counting and eliminate the need for the prevalent density regression paradigm. Typical counting models predict crowd density for…
Top-Down Feedback for Crowd Counting Convolutional Neural Network
Deepak Babu Sam, R. Venkatesh Babu
Counting people in dense crowds is a demanding task even for humans. This is primarily due to the large variability in appearance of people. Often people are only seen as a bunch o…
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
Deepak Babu Sam, Neeraj N Sajjan, R. Venkatesh Babu
Automated counting of people in crowd images is a challenging task. The major difficulty stems from the large diversity in the way people appear in crowds. In fact, features availa…
Switching Convolutional Neural Network for Crowd Counting
Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu
We propose a novel crowd counting model that maps a given crowd scene to its density. Crowd analysis is compounded by myriad of factors like inter-occlusion between people due to e…