7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harish-Chandra Research InstituteIN27 papers
- International Institute of Information TechnologyIN23 papers
- Homi Bhabha National InstituteIN20 papers
- Indian Institute of Science Education and Research ThiruvananthapuramIN20 papers
- Indian Institute of Science BangaloreIN15 papers
- Indian Institute of Technology HyderabadIN14 papers
- Institute of Physics, BhubaneshwarIN11 papers
- Birla Institute of Technology and Science, PilaniIN10 papers
- National University of SingaporeSG9 papers
- Indian Institute of Technology KanpurIN8 papers
- Université Libre de BruxellesBE8 papers
- Birla Institute of Technology and Science - Hyderabad CampusIN7 papers
43 papers · 1 filter
DeCoILFNet: Depth Concatenation and Inter-Layer Fusion based ConvNet Accelerator
Akanksha Baranwal, Ishan Bansal, Roopal Nahar +1
Convolutional Neural Networks (CNNs) are rapidly gaining popularity in varied fields. Due to their increasingly deep and computationally heavy structures, it is difficult to deploy…
Elites Tweet? Characterizing the Twitter Verified User Network
Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru +2
Social network and publishing platforms, such as Twitter, support the concept of verification. Verified accounts are deemed worthy of platform-wide public interest and are separate…
Learning to Prevent Monocular SLAM Failure using Reinforcement Learning
Vignesh Prasad, Karmesh Yadav, Rohitashva Singh Saurabh +5
Monocular SLAM refers to using a single camera to estimate robot ego motion while building a map of the environment. While Monocular SLAM is a well studied problem, automating Mono…
Quantifying the particle aspect of quantum systems
Sreetama Das, Indranil Chakrabarty, Arun Kumar Pati +2
The possibility of a quantum system to exhibit properties that are akin to both the classically held notions of being a particle and a wave, is one of the most intriguing aspects o…
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…
Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco +1
Variational autoencoders were proven successful in domains such as computer vision and speech processing. Their adoption for modeling user preferences is still unexplored, although…
Attentive Neural Architecture Incorporating Song Features For Music Recommendation
Noveen Sachdeva, Kartik Gupta, Vikram Pudi
Recommender Systems are an integral part of music sharing platforms. Often the aim of these systems is to increase the time, the user spends on the platform and hence having a high…
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…
FNNC: Achieving Fairness through Neural Networks
Padala Manisha, Sujit Gujar
In classification models fairness can be ensured by solving a constrained optimization problem. We focus on fairness constraints like Disparate Impact, Demographic Parity, and Equa…
Fekete-Szegö inequality of bi-starlike and bi-convex functions of order associated with symmetric -derivative in conic domains
R. B. Sharma, K. Rajya Laxmi, N. Magesh
In this paper, two new subclasses of bi-univalent functions related to conic domains are defined by making use of symmetric -differential operator. The initial bounds for Fekete…
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…
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection
Shashank Gupta, Raghuveer Thirukovalluru, Manjira Sinha +1
Detecting whether a news article is fake or genuine is a crucial task in today's digital world where it's easy to create and spread a misleading news article. This is especially tr…
Attention-based Neural Text Segmentation
Pinkesh Badjatiya, Litton J Kurisinkel, Manish Gupta +1
Text segmentation plays an important role in various Natural Language Processing (NLP) tasks like summarization, context understanding, document indexing and document noise removal…
Analysis of Speeches in Indian Parliamentary Debates
Sakala Venkata Krishna Rohit, Navjyoti Singh
With the increasing usage of the internet, more and more data is being digitized including parliamentary debates but they are in an unstructured format. There is a need to convert…
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…
Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels
Naresh Manwani, Mohit Chandra
In this paper, we propose exact passive-aggressive (PA) online algorithms for learning to rank. The proposed algorithms can be used even when we have interval labels instead of act…
EEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification
Maneesh Bilalpur, Mohan Kankanhalli, Stefan Winkler +1
Data Visualization has been receiving growing attention recently, with ubiquitous smart devices designed to render information in a variety of ways. However, while evaluations of v…
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…
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection
Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar +4
In order to expand their reach and increase website ad revenue, media outlets have started using clickbait techniques to lure readers to click on articles on their digital platform…
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi
This paper illustrates the interface of the tool we developed for crowd sourcing and we explain the annotation procedure in detail. Our tool is named as 'Parupalli Padajaalam' whic…
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…
Broadcasting of quantum correlations in qubit-qudit systems
Rounak Mundra, Dhrumil Patel, Indranil Chakrabarty +2
Quantum mechanical properties like entanglement, discord and coherence act as fundamental resources in various quantum information processing tasks. Consequently, generating more r…
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…
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…