activity
20152020
most citedCan you tell where in India I am from? Comparing humans and computers on fine-grained race face classification

3 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2020★ 2 cited

Understanding the Perceived Quality of Video Predictions

Nagabhushan Somraj, Manoj Surya Kashi, S. P. Arun +1

The study of video prediction models is believed to be a fundamental approach to representation learning for videos. While a plethora of generative models for predicting the future…

q-bio.NC2018★ 1 cited

Human peripheral blur is optimal for object recognition

R. T. Pramod, Harish Katti, S. P. Arun

Our vision is sharpest at the center of our gaze and becomes progressively blurry into the periphery. It is widely believed that this high foveal resolution evolved at the expense…

cs.CV2017★ 3 cited

Can you tell where in India I am from? Comparing humans and computers on fine-grained race face classification

Harish Katti, S. P. Arun

Faces form the basis for a rich variety of judgments in humans, yet the underlying features remain poorly understood. Although fine-grained distinctions within a race might more st…

cs.CV2016★ 1 cited

Deep neural networks can be improved using human-derived contextual expectations

Harish Katti, Marius V. Peelen, S. P. Arun

Real-world objects occur in specific contexts. Such context has been shown to facilitate detection by constraining the locations to search. But can context directly benefit object…

cs.IT2015

Neural dissimilarity indices that predict oddball detection in behaviour

Nidhin Koshy Vaidhiyan, S. P. Arun, Rajesh Sundaresan

Neuroscientists have recently shown that images that are difficult to find in visual search elicit similar patterns of firing across a population of recorded neurons. The d…