Omesh Tickoo

According to our database, Omesh Tickoo authored at least 71 papers between 2002 and 2024.

Collaborative distances:

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

2024

Uncertainty Quantification in Continual Open-World Learning.

Amanda S. Rios, Ibrahima J. Ndiour, Parual Datta, Jaroslaw Sydir, Omesh Tickoo, Nilesh A. Ahuja

CoRR, 2024

CONCLAD: COntinuous Novel CLAss Detector.

Amanda Rios, Ibrahima J. Ndiour, Parual Datta, Omesh Tickoo, Nilesh A. Ahuja

CoRR, 2024

CUAL: Continual Uncertainty-aware Active Learner.

Amanda Rios, Ibrahima J. Ndiour, Parual Datta, Jerry Sydir, Omesh Tickoo, Nilesh A. Ahuja

CoRR, 2024

Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning.

Ranganath Krishnan, Piyush Khanna, Omesh Tickoo

CoRR, 2024

Split-DNN Computing for Video Analytics.

Nagabhushan Eswara, Jaroslaw Sydir, V. Srinivasa Somayazulu, Parual Datta, Nilesh A. Ahuja, Omesh Tickoo

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

Compression without Compromise: Optimizing Point Cloud Object Detection with Bottleneck Architectures For Split Computing.

Vinay Kashyap, Nilesh A. Ahuja, Omesh Tickoo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Rate-Distortion Theory in Coding for Machines and its Application.

Alon Harell, Yalda Foroutan, Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo, Anderson de Andrade, Ivan V. Bajic

CoRR, 2023

Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness.

Jun-Liang Lin, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Taylan Kandemir

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models.

Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FRE: A Fast Method For Anomaly Detection And Segmentation.

Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing.

Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection.

Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection.

Amanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo

Proceedings of the Computer Vision - ECCV 2022, 2022

Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization.

Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Continual Active Adaptation to Evolving Distributional Shifts.

Amrutha Machireddy, Ranganath Krishnan, Nilesh A. Ahuja, Omesh Tickoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Partially-Supervised Novel Object Captioning Using Context from Paired Data.

Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Improving Robustness and Efficiency in Active Learning with Contrastive Loss.

Ranganath Krishnan, Nilesh A. Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer

CoRR, 2021

Mitigating Sampling Bias and Improving Robustness in Active Learning.

Ranganath Krishnan, Alok Sinha, Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer

CoRR, 2021

Partially-supervised novel object captioning leveraging context from paired data.

Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

CoRR, 2021

Data augmentation to improve robustness of image captioning solutions.

Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

CoRR, 2021

Energy-Based Anomaly Detection and Localization.

Ergin Utku Genc, Nilesh A. Ahuja, Ibrahima J. Ndiour, Omesh Tickoo

CoRR, 2021

E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations.

Chaunte Lacewell, Nilesh A. Ahuja, J. Pablo Munoz, Parual Datta, Ragaad AlTarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.

Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features.

Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo

CoRR, 2020

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.

Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang

CoRR, 2020

B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning.

Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

CoRR, 2020

Improving model calibration with accuracy versus uncertainty optimization.

Ranganath Krishnan, Omesh Tickoo

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Second Order Bifurcating Methodology for Neural Network Training and Topology Optimization.

Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Omesh Tickoo

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Introducing Region Pooling Learning.

Jesus Adan Cruz Vargas, Julio Zamora-Esquivel, Omesh Tickoo

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Semantic-Preserving Image Compression.

Neel Patwa, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo, Srenivas Varadarajan, Shashidhar G. Koolagudi

Proceedings of the IEEE International Conference on Image Processing, 2020

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes.

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Tree pyramidal adaptive importance sampling.

Javier Felip, Nilesh A. Ahuja, Omesh Tickoo

CoRR, 2019

Deep Probabilistic Models to Detect Data Poisoning Attacks.

Mahesh Subedar, Nilesh A. Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo

CoRR, 2019

Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection.

Nilesh A. Ahuja, Ibrahima J. Ndiour, Trushant Kalyanpur, Omesh Tickoo

CoRR, 2019

MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks.

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

CoRR, 2019

Real-time Approximate Bayesian Computation for Scene Understanding.

Javier Felip, Nilesh A. Ahuja, David Gómez-Gutiérrez, Omesh Tickoo, Vikash Mansinghka

CoRR, 2019

Adaptive Activation Functions Using Fractional Calculus.

Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, José Rodrigo Camacho Pérez, Paulo Lopez-Meyer, Héctor A. Cordourier, Omesh Tickoo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Adaptive Convolutional Kernels.

Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Paulo Lopez-Meyer, Omesh Tickoo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks.

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference.

Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang

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

2018

Uncertainty aware multimodal activity recognition with Bayesian inference.

Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang

CoRR, 2018

BAR: Bayesian Activity Recognition using variational inference.

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

CoRR, 2018

A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation.

Srenivas Varadarajan, Parual Datta, Omesh Tickoo

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

A cm-scale self-powered intelligent and secure IoT edge mote featuring an ultra-low-power SoC in 14nm tri-gate CMOS.

Tanay Karnik, Dileep Kurian, Paolo A. Aseron, Richard Dorrance, Erkan Alpman, Angela Nicoara, Roman Popov, Leonid Azarenkov, Mikhail J. Moiseev, Li Zhao, Santosh Ghosh, Rafael Misoczki, Ankit Gupta, M. Akhila, Sriram Muthukumar, Saurabh Bhandari, Satish Yada, Kartik Jain, Robert Flory, Chanitnan Kanthapanit, Eduardo Quijano, Bradley Jackson, Hao Luo, Suhwan Kim, Vaibhav A. Vaidya, Adel Elsherbini, Renzhi Liu, Farhana Sheikh, Omesh Tickoo, Ilya Klotchkov, Manoj R. Sastry, Sheldon Sun, Mukesh Bhartiya, Anuradha Srinivasan, Yatin Hoskote, Hong Wang, Vivek De

Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

2017

Visual IoT: Ultra-Low-Power Processing Architectures and Implications.

Vui Seng Chua, Julio Zamora-Esquivel, Anindya Sao Paul, Thawee Techathamnukool, Carlos Flores Fajardo, Nilesh Jain, Omesh Tickoo, Ravi R. Iyer

IEEE Micro, 2017

A framework for visual fog computing.

Shao-Wen Yang, Omesh Tickoo, Yen-Kuang Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic.

Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Yeongseon Lee

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Towards intuitive rigid-body physics through parameter search.

Javier Felip, David Gonzalez-Aguirre, Omesh Tickoo

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2015

Adaptive Keyframe Selection for Video Summarization.

Shayok Chakraborty, Omesh Tickoo, Ravi Iyer

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Towards Distributed Video Summarization.

Shayok Chakraborty, Omesh Tickoo, Ravishankar R. Iyer

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Analyzing Artificial Neural Networks and Dynamic Time Warping for spoken keyword recognition under transient noise conditions.

Paulo Lopez-Meyer, Héctor A. Cordourier Maruri, Arturo Quinto-Martinez, Omesh Tickoo

Proceedings of the 9th International Conference on Sensing Technology, 2015

Low-complexity HOG for efficient video saliency.

Teahyung Lee, Myung Hwangbo, Tanfer Alan, Omesh Tickoo, Ravishankar R. Iyer

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Platform-aware dynamic configuration support for efficient text processing on heterogeneous system.

Mi Sun Park, Omesh Tickoo, Vijaykrishnan Narayanan, Mary Jane Irwin, Ravi Iyer

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2013

Machine Learning-Based Runtime Scheduler for Mobile Offloading Framework.

Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo, Omesh Tickoo, Ramesh Illikkal, Ravishankar R. Iyer

Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013

OpenCL-Based Remote Offloading Framework for Trusted Mobile Cloud Computing.

Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo, Omesh Tickoo, Ramesh Illikkal, Ravishankar R. Iyer

Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

2012

SNARF: a social networking-inspired accelerator remoting framework.

Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo, Omesh Tickoo, Ramesh Illikkal, Ravishankar R. Iyer

Proceedings of the first edition of the MCC workshop on Mobile cloud computing, 2012

2011

CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition.

Ravi R. Iyer, Sadagopan Srinivasan, Omesh Tickoo, Zhen Fang, Ramesh Illikkal, Steven Zhang, Vineet Chadha, Paul M. Stillwell, Seung Eun Lee

IEEE Micro, 2011

2009

Modeling virtual machine performance: challenges and approaches.

Omesh Tickoo, Ravi R. Iyer, Ramesh Illikkal, Don Newell

SIGMETRICS Perform. Evaluation Rev., 2009

VM³: Measuring, modeling and managing VM shared resources.

Ravi R. Iyer, Ramesh Illikkal, Omesh Tickoo, Li Zhao, Padma Apparao, Don Newell

Comput. Networks, 2009

HiPPAI: High Performance Portable Accelerator Interface for SoCs.

Paul M. Stillwell, Vineet Chadha, Omesh Tickoo, Steven Zhang, Ramesh Illikkal, Ravishankar R. Iyer, Don Newell

Proceedings of the 16th International Conference on High Performance Computing, 2009

Evaluating implications of Virtual Worlds on server architecture using Second Life.

Srihari Makineni, Omesh Tickoo, Aaron Terrell, Jessica Young, Don Newell

Proceedings of the 16th International Conference on High Performance Computing, 2009

2008

Modeling queueing and channel access delay in unsaturated IEEE 802.11 random access MAC based wireless networks.

Omesh Tickoo, Biplab Sikdar

IEEE/ACM Trans. Netw., 2008

2007

qTLB: Looking Inside the Look-Aside Buffer.

Omesh Tickoo, Hari Kannan, Vineet Chadha, Ramesh Illikkal, Ravi R. Iyer, Donald Newell

Proceedings of the High Performance Computing, 2007

2005

LT-TCP: End-to-End Framework to Improve TCP Performance over Networks with Lossy Channels.

Omesh Tickoo, Vijaynarayanan Subramanian, Shivkumar Kalyanaraman, K. K. Ramakrishnan

Proceedings of the Quality of Service - IWQoS 2005: 13th International Workshop, 2005

2004

Queueing Analysis and Delay Mitigation in IEEE 802.11 Random Access MAC based Wireless Networks.

Omesh Tickoo, Biplab Sikdar

Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

Efficient path aggregation and error control for video streaming.

Omesh Tickoo, Shivkumar Kalyanaraman, John W. Woods

Proceedings of the 2004 International Conference on Image Processing, 2004

A queueing model for finite load IEEE 802.11 random access MAC.

Omesh Tickoo, Biplab Sikdar

Proceedings of IEEE International Conference on Communications, 2004

2003

On the impact of IEEE 802.11 MAC on traffic characteristics.

Omesh Tickoo, Biplab Sikdar

IEEE J. Sel. Areas Commun., 2003

Route fragility: a novel metric for route selection in mobile ad hoc networks.

Omesh Tickoo, Satish Raghunath, Shivkumar Kalyanaraman

Proceedings of the 11th IEEE International Conference on Networks, 2003

Integrated end-to-end buffer management and congestion control for scalable video communications.

Ivan V. Bajic, Omesh Tickoo, Anand Balan, Shivkumar Kalyanaraman, John W. Woods

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

Modeling and analysis of traffic characteristics in IEEE 802.11 MAC based networks.

Omesh Tickoo, Biplab Sikdar

Proceedings of the Global Telecommunications Conference, 2002