6 citations · 7 across the 3 of their papers we have counts for
7 papers
Exemplar Free Class Agnostic Counting
Viresh Ranjan, Minh Hoai
We tackle the task of Class Agnostic Counting, which aims to count objects in a novel object category at test time without any access to labeled training data for that category. Al…
Learning To Count Everything
Viresh Ranjan, Udbhav Sharma, Thu Nguyen +1
Existing works on visual counting primarily focus on one specific category at a time, such as people, animals, and cells. In this paper, we are interested in counting everything, t…
Uncertainty Estimation and Sample Selection for Crowd Counting
Viresh Ranjan, Boyu Wang, Mubarak Shah +1
We present a method for image-based crowd counting, one that can predict a crowd density map together with the uncertainty values pertaining to the predicted density map. To obtain…
A Study of Human Gaze Behavior During Visual Crowd Counting
Raji Annadi, Yupei Chen, Viresh Ranjan +3
In this paper, we describe our study on how humans allocate their attention during visual crowd counting. Using an eye tracker, we collect gaze behavior of human participants who a…
Crowd Transformer Network
Viresh Ranjan, Mubarak Shah, Minh Hoai Nguyen
In this paper, we tackle the problem of Crowd Counting, and present a crowd density estimation based approach for obtaining the crowd count. Most of the existing crowd counting app…
Fake Sentence Detection as a Training Task for Sentence Encoding
Viresh Ranjan, Heeyoung Kwon, Niranjan Balasubramanian +1
Sentence encoders are typically trained on language modeling tasks with large unlabeled datasets. While these encoders achieve state-of-the-art results on many sentence-level tasks…