850 citations · 1.7k across the 63 of their papers we have counts for
15 papers · 1 filter
City-Scale Road Audit System using Deep Learning
Sudhir Yarram, Girish Varma, C. V. Jawahar
Road networks in cities are massive and is a critical component of mobility. Fast response to defects, that can occur not only due to regular wear and tear but also because of extr…
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…
Dissimilarity Coefficient based Weakly Supervised Object Detection
Aditya Arun, C. V. Jawahar, M. Pawan Kumar
We consider the problem of weakly supervised object detection, where the training samples are annotated using only image-level labels that indicate the presence or absence of an ob…
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…
Universal Semi-Supervised Semantic Segmentation
Tarun Kalluri, Girish Varma, Manmohan Chandraker +1
In recent years, the need for semantic segmentation has arisen across several different applications and environments. However, the expense and redundancy of annotation often limit…
Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations
Viral Parekh, Maneesh Bilalpur, Sharavan Kumar +3
We examine if EEG-based cognitive load (CL) estimation is generalizable across the character, spatial pattern, bar graph and pie chart-based visualizations for the nback~task. CL i…
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…
Connecting Visual Experiences using Max-flow Network with Application to Visual Localization
A. H. Abdul Hafez, Nakul Agarwal, C. V. Jawahar
We are motivated by the fact that multiple representations of the environment are required to stand for the changes in appearance with time and for changes that appear in a cyclic…
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…
TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces
Yash Patel, Lluis Gomez, Raul Gomez +3
The immense success of deep learning based methods in computer vision heavily relies on large scale training datasets. These richly annotated datasets help the network learn discri…
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…
Unsupervised Learning of Face Representations
Samyak Datta, Gaurav Sharma, C. V. Jawahar
We present an approach for unsupervised training of CNNs in order to learn discriminative face representations. We mine supervised training data by noting that multiple faces in th…
HWNet v2: An Efficient Word Image Representation for Handwritten Documents
Praveen Krishnan, C. V. Jawahar
We present a framework for learning an efficient holistic representation for handwritten word images. The proposed method uses a deep convolutional neural network with traditional…
Learning Optimal Redistribution Mechanisms through Neural Networks
P Manisha, C V Jawahar, Sujit Gujar
We consider a setting where public resources are to be allocated among competing and strategic agents so as to maximize social welfare (the objects should be allocated to t…
SmartTennisTV: Automatic indexing of tennis videos
Anurag Ghosh, C. V. Jawahar
In this paper, we demonstrate a score based indexing approach for tennis videos. Given a broadcast tennis video (BTV), we index all the video segments with their scores to create a…