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2021
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Multi-Input Fusion for Practical Pedestrian Intention Prediction
Pedestrians are the most vulnerable road users and are at a high risk of fatal accidents. Accurate pedestrian detection and effectively …
Ankur Singh
,
Upendra Suddamalla
PDF
The Curious Case of Convex Neural Networks
In this paper, we investigate a constrained formulation of neural networks where the output is a convex function of the input. We show …
Sarath Sivaprasad
,
Ankur Singh
,
Naresh Manwani
,
Vineet Gandhi
PDF
Semi-Supervised Super-Resolution
We introduce a novel semi-supervised technique for super-resolution that can generate high-resolution images with extremely few labeled examples.
Ankur Singh
,
Piyush Rai
,
PDF
Pedestrian Intention Prediction with Multi-Input Concatenation
Responding safely to the pedestrians on the road is one of the critical challenges for autonomous vehicles. For smooth navigation of …
Ankur Singh
,
Upendra Suddamalla
,
Anthony Wong
,
Dilip Kumar Limbu
PDF
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
While medical image segmentation is an important task for computer aided diagnosis, the high expertise requirement for pixelwise manual …
Dwarikanath Mahapatra
,
Ankur Singh
,
Behzad Bozorgtabar
PDF
Video Colorization using CNNs and Keyframes extraction: An application in saving bandwidth
In this paper, we tackle the problem of colorization of grayscale videos to reduce bandwidth usage. For this task, we use some colored …
Ankur Singh
,
Anurag Chanani
,
Harish Karnick
PDF
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