Modeling and analysis of traffic characteristics in IEEE 802.11 MAC based networks. - Omesh Tickoo; Biplab Sikdar 001 (GLOBECOM, 2002)

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 (ICIP (3), 2003)

Route fragility: a novel metric for route selection in mobile ad hoc networks. - Omesh Tickoo; Satish Raghunath; Shivkumar Kalyanaraman (ICON, 2003)

On the impact of IEEE 802.11 MAC on traffic characteristics. - Omesh Tickoo; Biplab Sikdar 001 (IEEE J. Sel. Areas Commun., 2003)

A queueing model for finite load IEEE 802.11 random access MAC. - Omesh Tickoo; Biplab Sikdar 001 (ICC, 2004)

Efficient path aggregation and error control for video streaming. - Omesh Tickoo; Shivkumar Kalyanaraman; John W. Woods (ICIP, 2004)

Queueing Analysis and Delay Mitigation in IEEE 802.11 Random Access MAC based Wireless Networks. - Omesh Tickoo; Biplab Sikdar 001 (INFOCOM, 2004)

LT-TCP: End-to-End Framework to Improve TCP Performance over Networks with Lossy Channels. - Omesh Tickoo; Vijaynarayanan Subramanian; Shivkumar Kalyanaraman; K. K. Ramakrishnan (IWQoS, 2005)

qTLB: Looking Inside the Look-Aside Buffer. - Omesh Tickoo; Hari Kannan; Vineet Chadha; Ramesh Illikkal; Ravi R. Iyer 001; Donald Newell (HiPC, 2007)

Modeling queueing and channel access delay in unsaturated IEEE 802.11 random access MAC based wireless networks. - Omesh Tickoo; Biplab Sikdar 001 (IEEE/ACM Trans. Netw., 2008)

Evaluating implications of Virtual Worlds on server architecture using Second Life. - Srihari Makineni; Omesh Tickoo; Aaron Terrell; Jessica Young; Don Newell (HiPC, 2009)

HiPPAI: High Performance Portable Accelerator Interface for SoCs. - Paul M. Stillwell; Vineet Chadha; Omesh Tickoo; Steven Zhang; Ramesh Illikkal; Ravishankar R. Iyer 001; Don Newell (HiPC, 2009)

VM3: Measuring, modeling and managing VM shared resources. - Ravi R. Iyer 001; Ramesh Illikkal; Omesh Tickoo; Li Zhao 002; Padma Apparao; Don Newell (Comput. Networks, 2009)

Modeling virtual machine performance: challenges and approaches. - Omesh Tickoo; Ravi R. Iyer 001; Ramesh Illikkal; Don Newell (SIGMETRICS Perform. Evaluation Rev., 2009)

CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition. - Ravi R. Iyer 001; Sadagopan Srinivasan; Omesh Tickoo; Zhen Fang 002; Ramesh Illikkal; Steven Zhang; Vineet Chadha; Paul M. Stillwell; Seung Eun Lee (IEEE Micro, 2011)

SNARF: a social networking-inspired accelerator remoting framework. - Heungsik Eom; Pierre St. Juste; Renato J. O. Figueiredo; Omesh Tickoo; Ramesh Illikkal; Ravishankar R. Iyer 001 (MCC@SIGCOMM, 2012)

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 001 (ICPADS, 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 001 (UCC, 2013)

Platform-aware dynamic configuration support for efficient text processing on heterogeneous system. - Mi Sun Park; Omesh Tickoo; Vijaykrishnan Narayanan; Mary Jane Irwin; Ravi Iyer 001 (DATE, 2015)

Low-complexity HOG for efficient video saliency. - Teahyung Lee; Myung Hwangbo; Tanfer Alan; Omesh Tickoo; Ravishankar R. Iyer 001 (ICIP, 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 (ICST, 2015)

Towards Distributed Video Summarization. - Shayok Chakraborty; Omesh Tickoo; Ravishankar R. Iyer 001 (ACM Multimedia, 2015)

Adaptive Keyframe Selection for Video Summarization. - Shayok Chakraborty; Omesh Tickoo; Ravi Iyer 001 (WACV, 2015)

Towards intuitive rigid-body physics through parameter search. - Javier Felip; David Gonzalez-Aguirre; Omesh Tickoo (Humanoids, 2017)

A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic. - Nilesh A. Ahuja; Mahesh Subedar; Omesh Tickoo; Yeongseon Lee (ICCV Workshops, 2017)

A framework for visual fog computing. - Shao-Wen Yang; Omesh Tickoo; Yen-Kuang Chen (ISCAS, 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 001 (IEEE Micro, 2017)

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 002; Santosh Ghosh; Rafael Misoczki; et al. (ISSCC, 2018)

A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation. - Srenivas Varadarajan; Parual Datta; Omesh Tickoo (WACV, 2018)

BAR: Bayesian Activity Recognition using variational inference. - Ranganath Krishnan; Mahesh Subedar; Omesh Tickoo (CoRR, 2018)

Uncertainty aware multimodal activity recognition with Bayesian inference. - Mahesh Subedar; Ranganath Krishnan; Paulo Lopez-Meyer; Omesh Tickoo; Jonathan Huang (CoRR, 2018)

Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. - Mahesh Subedar; Ranganath Krishnan; Paulo Lopez-Meyer; Omesh Tickoo; Jonathan Huang (CVPR Workshops, 2019)

Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks. - Ranganath Krishnan; Mahesh Subedar; Omesh Tickoo (ICCV Workshops, 2019)

Adaptive Convolutional Kernels. - Julio Zamora-Esquivel; Jesus Adan Cruz Vargas; Paulo Lopez-Meyer; Omesh Tickoo (ICCV Workshops, 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 (ICCV Workshops, 2019)

Real-time Approximate Bayesian Computation for Scene Understanding. - Javier Felip; Nilesh A. Ahuja; David Gómez-Gutiérrez; Omesh Tickoo; Vikash Mansinghka 001 (CoRR, 2019)

MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks. - Ranganath Krishnan; Mahesh Subedar; 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)

Deep Probabilistic Models to Detect Data Poisoning Attacks. - Mahesh Subedar; Nilesh A. Ahuja; Ranganath Krishnan; Ibrahima J. Ndiour; Omesh Tickoo (CoRR, 2019)

Tree pyramidal adaptive importance sampling. - Javier Felip; Nilesh A. Ahuja; Omesh Tickoo (CoRR, 2019)

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. - Ranganath Krishnan; Mahesh Subedar; Omesh Tickoo (AAAI, 2020)

Semantic-Preserving Image Compression. - Neel Patwa; Nilesh A. Ahuja; V. Srinivasa Somayazulu; Omesh Tickoo; Srenivas Varadarajan; Shashidhar G. Koolagudi (ICIP, 2020)

Introducing Region Pooling Learning. - Jesus Adan Cruz Vargas; Julio Zamora-Esquivel; Omesh Tickoo (ICPR Workshops (1), 2020)

Second Order Bifurcating Methodology for Neural Network Training and Topology Optimization. - Julio Zamora-Esquivel; Jesus Adan Cruz Vargas; Omesh Tickoo (ICPR Workshops (1), 2020)

Improving model calibration with accuracy versus uncertainty optimization. - Ranganath Krishnan; Omesh Tickoo (NeurIPS, 2020)

B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning. - Shashank Bujimalla; Mahesh Subedar; 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; et al. (CoRR, 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; Javier Antorán; Yunfeng Zhang; Q. Vera Liao; Prasanna Sattigeri; Riccardo Fogliato; Gabrielle Gauthier Melançon; Ranganath Krishnan; Jason Stanley; Omesh Tickoo; Lama Nachman; Rumi Chunara; et al. (AIES, 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 001 (NAS, 2021)

Energy-Based Anomaly Detection and Localization. - Ergin Utku Genc; Nilesh A. Ahuja; Ibrahima J. Ndiour; Omesh Tickoo (CoRR, 2021)

Data augmentation to improve robustness of image captioning solutions. - Shashank Bujimalla; Mahesh Subedar; Omesh Tickoo (CoRR, 2021)

Partially-supervised novel object captioning leveraging context from paired data. - Shashank Bujimalla; Mahesh Subedar; Omesh Tickoo (CoRR, 2021)

Mitigating Sampling Bias and Improving Robustness in Active Learning. - Ranganath Krishnan; Alok Sinha; Nilesh A. Ahuja; Mahesh Subedar; Omesh Tickoo; Ravi Iyer 001 (CoRR, 2021)

Improving Robustness and Efficiency in Active Learning with Contrastive Loss. - Ranganath Krishnan; Nilesh A. Ahuja; Alok Sinha; Mahesh Subedar; Omesh Tickoo; Ravi Iyer 001 (CoRR, 2021)

Partially-Supervised Novel Object Captioning Using Context from Paired Data. - Shashank Bujimalla; Mahesh Subedar; Omesh Tickoo (BMVC, 2022)

Continual Active Adaptation to Evolving Distributional Shifts. - Amrutha Machireddy; Ranganath Krishnan; Nilesh A. Ahuja; Omesh Tickoo (CVPR Workshops, 2022)

Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. - Neslihan Kose; Ranganath Krishnan; Akash Dhamasia; Omesh Tickoo; Michael Paulitsch (ECCV Workshops (5), 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 (ECCV (25), 2022)

Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. - Ibrahima J. Ndiour; Nilesh A. Ahuja; Omesh Tickoo (ICIP, 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 (ICPR, 2022)

FRE: A Fast Method For Anomaly Detection And Segmentation. - Ibrahima J. Ndiour; Nilesh A. Ahuja; Ergin Utku Genc; Omesh Tickoo (BMVC, 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 (CVPR, 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 001; Mahmut Taylan Kandemir (IISWC, 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)

Source-Free Continual Adaptive Learning With Limited Labels on Evolving Data Drifts. - Amrutha Machireddy; Ranganath Krishnan; Athmanarayanan Lakshmi Narayanan; Omesh Tickoo (ICIP, 2024)

Compression without Compromise: Optimizing Point Cloud Object Detection with Bottleneck Architectures For Split Computing. - Vinay Kashyap; Nilesh A. Ahuja; Omesh Tickoo (ICME Workshops, 2024)

Split-DNN Computing for Video Analytics. - Nagabhushan Eswara; Jaroslaw Sydir; V. Srinivasa Somayazulu; Parual Datta; Nilesh A. Ahuja; Omesh Tickoo (ICPR (3), 2024)

Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning. - Ranganath Krishnan; Piyush Khanna; Omesh Tickoo (CoRR, 2024)

CUAL: Continual Uncertainty-aware Active Learner. - Amanda Rios; Ibrahima J. Ndiour; Parual Datta; Jerry 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)

Uncertainty Quantification in Continual Open-World Learning. - Amanda Sofie Rios; Ibrahima J. Ndiour; Parual Datta; Jaroslaw Sydir; Omesh Tickoo; Nilesh A. Ahuja (CoRR, 2024)

FUVAS: Few-shot Unsupervised Video Anomaly Segmentation via Low-Rank Factorization of Spatio-Temporal Features. - Jiaxiang Jiang; Ibrahima J. Ndiour; Mahesh Subedar; Omesh Tickoo (ICASSP, 2025)

Rate-Distortion Theory in Coding for Machines and Its Applications. - Alon Harell; Yalda Foroutan; Nilesh A. Ahuja; Parual Datta; Bhavya Kanzariya; V. Srinivasa Somayazulu; Omesh Tickoo; Anderson de Andrade; Ivan V. Bajic (IEEE Trans. Pattern Anal. Mach. Intell., 2025)