Narayanan Chatapuram Krishnan

According to our database, Narayanan Chatapuram Krishnan authored at least 70 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Adaptation: Blessing or Curse for Higher Way Meta-Learning.

Aroof Aimen, Sahil Sidheekh, Bharat Ladrecha, Hansin Ahuja, Narayanan C. Krishnan

IEEE Trans. Artif. Intell., April, 2024

LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification.

Abhishek Singh Sambyal, Usma Niyaz, Saksham Shrivastava, Narayanan C. Krishnan, Deepti R. Bathula

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

HTLDIFF: Handwritten Text Line Generation - A Diffusion Model Perspective.

Aniket Gurav, Sukalpa Chanda, Narayanan C. Krishnan

Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

Word-Diffusion: Diffusion-Based Handwritten Text Word Image Generation.

Aniket Gurav, Narayanan C. Krishnan, Sukalpa Chanda

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Capacitated Online Clustering Algorithm.

Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics.

Vidhya Kamakshi, Narayanan C. Krishnan

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Online Algorithm for Clustering with Capacity Constraints.

Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Understanding calibration of deep neural networks for medical image classification.

Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula

Comput. Methods Programs Biomed., December, 2023

Leveraging Task Variability in Meta-learning.

Aroof Aimen, Bharat Ladrecha, Sahil Sidheekh, Narayanan C. Krishnan

SN Comput. Sci., September, 2023

Efficient algorithms for fair clustering with a new notion of fairness.

Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain

Data Min. Knowl. Discov., September, 2023

Pho(SC)-CTC - a hybrid approach towards zero-shot word image recognition.

Ravi Bhatt, Anuj Rai, Sukalpa Chanda, Narayanan C. Krishnan

Int. J. Document Anal. Recognit., March, 2023

Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays.

Aroof Aimen, Arsh Verma, Makarand Tapaswi, Narayanan C. Krishnan

CoRR, 2023

ResPho(SC)Net: A Zero-Shot Learning Framework for Norwegian Handwritten Word Image Recognition.

Aniket Gurav, Joakim Jensen, Narayanan C. Krishnan, Sukalpa Chanda

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Algorithmic Recourse based on User's Feature-order Preference.

Manan Singh, Sai Srinivas Kancheti, Shivam Gupta, Ganesh Ghalme, Shweta Jain, Narayanan C. Krishnan

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Group Fair Clustering Revisited - Notions and Efficient Algorithm.

Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Adversarial Projections to Tackle Support-Query Shifts in Few-Shot Meta-Learning.

Aroof Aimen, Bharat Ladrecha, Narayanan C. Krishnan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks.

Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Explainable Supervised Domain Adaptation.

Vidhya Kamakshi, Narayanan C. Krishnan

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks.

Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan Chatapuram Krishnan

IEEE Trans. Artif. Intell., 2021

Efficient Algorithms For Fair Clustering with a New Fairness Notion.

Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain

CoRR, 2021

Deep Geospatial Interpolation Networks.

Sumit Kumar Varshney, Jeetu Kumar, Aditya Tiwari, Rishabh Singh, Venkata M. V. Gunturi, Narayanan C. Krishnan

CoRR, 2021

Evaluation of Saliency-based Explainability Method.

Sam Zabdiel Sunder Samuel, Vidhya Kamakshi, Namrata Lodhi, Narayanan C. Krishnan

CoRR, 2021

Task Attended Meta-Learning for Few-Shot Learning.

Aroof Aimen, Sahil Sidheekh, Narayanan C. Krishnan

CoRR, 2021

On Duality Gap as a Measure for Monitoring GAN Training.

Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan

Proceedings of the International Joint Conference on Neural Networks, 2021

PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs.

Vidhya Kamakshi, Uday Gupta, Narayanan C. Krishnan

Proceedings of the International Joint Conference on Neural Networks, 2021

On Characterizing GAN Convergence Through Proximal Duality Gap.

Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan

Proceedings of the 38th International Conference on Machine Learning, 2021

Pho(SC)Net: An Approach Towards Zero-Shot Word Image Recognition in Historical Documents.

Anuj Rai, Narayanan C. Krishnan, Sukalpa Chanda

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers.

Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain

Proceedings of the Machine Learning and Knowledge Extraction, 2021

Stress Testing of Meta-learning Approaches for Few-shot Learning.

Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020

Wheat Crop Yield Prediction Using Deep LSTM Model.

Sagarika Sharma, Sujit Rai, Narayanan C. Krishnan

CoRR, 2020

Multi-Partition Feature Alignment Network for Unsupervised Domain Adaptation.

Sanatan Sukhija, Srenivas Varadarajan, Narayanan C. Krishnan, Sujit Rai

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Implicit Discriminator in Variational Autoencoder.

Prateek Munjal, Akanksha Paul, Narayanan C. Krishnan

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Supervised heterogeneous feature transfer via random forests.

Sanatan Sukhija, Narayanan Chatapuram Krishnan

Artif. Intell., 2019

Semantically Aligned Bias Reducing Zero Shot Learning.

Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Web-Induced Heterogeneous Transfer Learning with Sample Selection.

Sanatan Sukhija, Narayanan Chatapuram Krishnan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet).

Jatin Garg, Skand Vishwanath Peri, Himanshu Tolani, Narayanan C. Krishnan

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Supervised heterogeneous transfer learning using random forests.

Sanatan Sukhija, Narayanan Chatapuram Krishnan, Deepak Kumar

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Multi-Task Deep Learning for Predicting Poverty From Satellite Images.

Shailesh M. Pandey, Tushar Agarwal, Narayanan C. Krishnan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes.

Barnan Das, Diane J. Cook, Narayanan Chatapuram Krishnan, Maureen Schmitter-Edgecombe

IEEE J. Sel. Top. Signal Process., 2016

Supervised Heterogeneous Domain Adaptation via Random Forests.

Sanatan Sukhija, Narayanan Chatapuram Krishnan, Gurkanwal Singh

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Supervised deep segmentation network for brain extraction.

Apoorva Sikka, Gaurav Mittal, Deepti R. Bathula, Narayanan C. Krishnan

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

SpotGarbage: smartphone app to detect garbage using deep learning.

Gaurav Mittal, Kaushal B. Yagnik, Mohit Garg, Narayanan C. Krishnan

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015

RACOG and wRACOG: Two Probabilistic Oversampling Techniques.

Barnan Das, Narayanan Chatapuram Krishnan, Diane J. Cook

IEEE Trans. Knowl. Data Eng., 2015

Multi-label Learning for Activity Recognition.

Rahul Kumar, Imroj Qamar, Jaskaran Singh Virdi, Narayanan Chatapuram Krishnan

Proceedings of the 2015 International Conference on Intelligent Environments, 2015

2014

Activity recognition on streaming sensor data.

Narayanan Chatapuram Krishnan, Diane J. Cook

Pervasive Mob. Comput., 2014

Mining the home environment.

Diane J. Cook, Narayanan Chatapuram Krishnan

J. Intell. Inf. Syst., 2014

2013

Activity Discovery and Activity Recognition: A New Partnership.

Diane J. Cook, Narayanan Chatapuram Krishnan, Parisa Rashidi

IEEE Trans. Cybern., 2013

Transfer learning for activity recognition: a survey.

Diane J. Cook, Kyle D. Feuz, Narayanan Chatapuram Krishnan

Knowl. Inf. Syst., 2013

Learning a taxonomy of predefined and discovered activity patterns.

Narayanan Chatapuram Krishnan, Diane J. Cook, Zachary Wemlinger

J. Ambient Intell. Smart Environ., 2013

CASAS: A Smart Home in a Box.

Diane J. Cook, Aaron S. Crandall, Brian L. Thomas, Narayanan Chatapuram Krishnan

Computer, 2013

Reports on the 2012 AAAI Fall Symposium Series.

Rezarta Islamaj Dogan, Yolanda Gil, Haym Hirsh, Narayanan Chatapuram Krishnan, Michael Lewis, Çetin Meriçli, Parisa Rashidi, Victor Raskin, Samarth Swarup, Wei Sun, Julia M. Taylor, Lana Yeganova

AI Mag., 2013

Handling Class Overlap and Imbalance to Detect Prompt Situations in Smart Homes.

Barnan Das, Narayanan Chatapuram Krishnan, Diane J. Cook

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

wRACOG: A Gibbs Sampling-Based Oversampling Technique.

Barnan Das, Narayanan Chatapuram Krishnan, Diane J. Cook

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Automated Activity Interventions to Assist with Activities of Daily Living.

Barnan Das, Narayanan Chatapuram Krishnan, Diane J. Cook

Proceedings of the Agents and Ambient Intelligence, 2012

Simple and Complex Activity Recognition through Smart Phones.

Stefan Dernbach, Barnan Das, Narayanan Chatapuram Krishnan, Brian L. Thomas, Diane J. Cook

Proceedings of the 2012 Eighth International Conference on Intelligent Environments, 2012

Preface.

Diane J. Cook, Narayanan Chatapuram Krishnan, Parisa Rashidi, Marjorie Skubic, Alex Mihailidis

Proceedings of the Artificial Intelligence for Gerontechnology, 2012

2011

Hierarchical domain adaptation for SEMG signal classification across multiple subjects.

Rita Chattopadhyay, Narayanan Chatapuram Krishnan, Sethuraman Panchanathan

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Topology Preserving Domain Adaptation for Addressing Subject Based Variability in SEMG Signal.

Rita Chattopadhyay, Narayanan Chatapuram Krishnan, Sethuraman Panchanathan

Proceedings of the Computational Physiology, 2011

Defining the Complexity of an Activity.

Yasamin Sahaf, Narayanan Chatapuram Krishnan, Diane J. Cook

Proceedings of the Activity Context Representation: Techniques and Languages, 2011

2010

A computational framework for wearable accelerometer based activity and gesture recognition.

Narayanan Chatapuram Krishnan

PhD thesis, 2010

Task Prediction in Cooking Activities Using Hierarchical State Space Markov Chain and Object Based Task Grouping.

Prasanth Lade, Narayanan Chatapuram Krishnan, Sethuraman Panchanathan

Proceedings of the 12th IEEE International Symposium on Multimedia, 2010

Activity gesture spotting using a threshold model based on Adaptive Boosting.

Narayanan Chatapuram Krishnan, Prasanth Lade, Sethuraman Panchanathan

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

2009

Recognition of hand movements using wearable accelerometers.

Narayanan Chatapuram Krishnan, Colin Juillard, Dirk Colbry, Sethuraman Panchanathan

J. Ambient Intell. Smart Environ., 2009

Recognizing short duration hand movements from accelerometer data.

Narayanan Chatapuram Krishnan, Gaurav N. Pradhan, Sethuraman Panchanathan

Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

2008

Enriched human-centered multimedia computing through inspirations from disabilities and deficit-centered computing solutions.

Sethuraman Panchanathan, Narayanan Chatapuram Krishnan, Sreekar Krishna, Troy McDaniel, Vineeth Nallure Balasubramanian

Proceedings of the 3rd ACM Workshop on Human-Centered Computing, 2008

Analysis of low resolution accelerometer data for continuous human activity recognition.

Narayanan Chatapuram Krishnan, Sethuraman Panchanathan

Proceedings of the IEEE International Conference on Acoustics, 2008

A wearable wireless RFID system for accessible shopping environments.

Sreekar Krishna, Vineeth Nallure Balasubramanian, Narayanan Chatapuram Krishnan, Colin Juillard, Terri Hedgpeth, Sethuraman Panchanathan

Proceedings of the 3rd International ICST Conference on Body Area Networks, 2008

2007

Detecting and classifying frontal, back and profile views of humans.

Narayanan Chatapuram Krishnan, Baoxin Li, Sethuraman Panchanathan

Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

The role of eye movement signals in dorsal and ventral processing.

John A. Black Jr., Stuart B. Braiman, Narayanan Chatapuram Krishnan, Sethuraman Panchanathan

Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

2006

Measuring movement expertise in surgical tasks.

Kanav Kahol, Narayanan Chatapuram Krishnan, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Marshall L. Smith, John Ferrara

Proceedings of the 14th ACM International Conference on Multimedia, 2006