output
20062026
most citedThe Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package

7.7k citations

Showing 2018 · cs.CVShow all

9 papers · 2 filters

cs.CV2018★ 4 cited

IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments

Girish Varma, Anbumani Subramanian, Anoop Namboodiri +2

While several datasets for autonomous navigation have become available in recent years, they tend to focus on structured driving environments. This usually corresponds to well-deli…

cs.CV2018★ 25 cited

Improved Visual Relocalization by Discovering Anchor Points

Soham Saha, Girish Varma, C. V. Jawahar

We address the visual relocalization problem of predicting the location and camera orientation or pose (6DOF) of the given input scene. We propose a method based on how humans dete…

cs.CV2018★ 10 cited

Deep Textured 3D Reconstruction of Human Bodies

Abbhinav Venkat, Sai Sagar Jinka, Avinash Sharma

Recovering textured 3D models of non-rigid human body shapes is challenging due to self-occlusions caused by complex body poses and shapes, clothing obstructions, lack of surface t…

cs.CV2018

Class2Str: End to End Latent Hierarchy Learning

Soham Saha, Girish Varma, C. V. Jawahar

Deep neural networks for image classification typically consists of a convolutional feature extractor followed by a fully connected classifier network. The predicted and the ground…

cs.CV2018★ 12 cited

Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements

Abhinav Shukla, Harish Katti, Mohan Kankanhalli +1

Emotion evoked by an advertisement plays a key role in influencing brand recall and eventual consumer choices. Automatic ad affect recognition has several useful applications. Howe…

cs.CV2018★ 1 cited

Learning Human Poses from Actions

Aditya Arun, C. V. Jawahar, M. Pawan Kumar

We consider the task of learning to estimate human pose in still images. In order to avoid the high cost of full supervision, we propose to use a diverse data set, which consists o…

cs.CV2018

A deep learning framework for segmentation of retinal layers from OCT images

Karthik Gopinath, Samrudhdhi B Rangrej, Jayanthi Sivaswamy

Segmentation of retinal layers from Optical Coherence Tomography (OCT) volumes is a fundamental problem for any computer aided diagnostic algorithm development. This requires prepr…

cs.CV2018★ 2 cited

Efficient Semantic Segmentation using Gradual Grouping

Nikitha Vallurupalli, Sriharsha Annamaneni, Girish Varma +3

Deep CNNs for semantic segmentation have high memory and run time requirements. Various approaches have been proposed to make CNNs efficient like grouped, shuffled, depth-wise sepa…

cs.CV2018

"How to rate a video game?" - A prediction system for video games based on multimodal information

Vishal Batchu, Varshit Battu, Murali Krishna Reddy +1

Video games have become an integral part of most people's lives in recent times. This led to an abundance of data related to video games being shared online. However, this comes wi…