Omesh Tickoo

Orcid: 0000-0002-3142-1938

According to our database1, Omesh Tickoo authored at least 65 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Rate-Distortion Theory in Coding for Machines and its Application.
CoRR, 2023

Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FRE: A Fast Method For Anomaly Detection And Segmentation.
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.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Continual Active Adaptation to Evolving Distributional Shifts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Partially-Supervised Novel Object Captioning Using Context from Paired Data.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Improving Robustness and Efficiency in Active Learning with Contrastive Loss.
CoRR, 2021

Mitigating Sampling Bias and Improving Robustness in Active Learning.
CoRR, 2021

Partially-supervised novel object captioning leveraging context from paired data.
CoRR, 2021

Data augmentation to improve robustness of image captioning solutions.
CoRR, 2021

Energy-Based Anomaly Detection and Localization.
CoRR, 2021

E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features.
CoRR, 2020

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
CoRR, 2020

B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning.
CoRR, 2020

Improving model calibration with accuracy versus uncertainty optimization.
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.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Introducing Region Pooling Learning.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Semantic-Preserving Image Compression.
Proceedings of the IEEE International Conference on Image Processing, 2020

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Tree pyramidal adaptive importance sampling.
CoRR, 2019

Deep Probabilistic Models to Detect Data Poisoning Attacks.
CoRR, 2019

Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection.
CoRR, 2019

MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks.
CoRR, 2019

Real-time Approximate Bayesian Computation for Scene Understanding.
CoRR, 2019

Adaptive Activation Functions Using Fractional Calculus.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Adaptive Convolutional Kernels.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Uncertainty aware multimodal activity recognition with Bayesian inference.
CoRR, 2018

BAR: Bayesian Activity Recognition using variational inference.
CoRR, 2018

A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018


2017
Visual IoT: Ultra-Low-Power Processing Architectures and Implications.
IEEE Micro, 2017

A framework for visual fog computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Towards intuitive rigid-body physics through parameter search.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2015
Adaptive Keyframe Selection for Video Summarization.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Towards Distributed Video Summarization.
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.
Proceedings of the 9th International Conference on Sensing Technology, 2015

Low-complexity HOG for efficient video saliency.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Platform-aware dynamic configuration support for efficient text processing on heterogeneous system.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2013
Machine Learning-Based Runtime Scheduler for Mobile Offloading Framework.
Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013

OpenCL-Based Remote Offloading Framework for Trusted Mobile Cloud Computing.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

2012
SNARF: a social networking-inspired accelerator remoting framework.
Proceedings of the first edition of the MCC workshop on Mobile cloud computing, 2012

2011
CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition.
IEEE Micro, 2011

2009
Modeling virtual machine performance: challenges and approaches.
SIGMETRICS Perform. Evaluation Rev., 2009

VM<sup>3</sup>: Measuring, modeling and managing VM shared resources.
Comput. Networks, 2009

HiPPAI: High Performance Portable Accelerator Interface for SoCs.
Proceedings of the 16th International Conference on High Performance Computing, 2009

Evaluating implications of Virtual Worlds on server architecture using Second Life.
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.
IEEE/ACM Trans. Netw., 2008

2007
qTLB: Looking Inside the Look-Aside Buffer.
Proceedings of the High Performance Computing, 2007

2005
LT-TCP: End-to-End Framework to Improve TCP Performance over Networks with Lossy Channels.
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.
Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

Efficient path aggregation and error control for video streaming.
Proceedings of the 2004 International Conference on Image Processing, 2004

A queueing model for finite load IEEE 802.11 random access MAC.
Proceedings of IEEE International Conference on Communications, 2004

2003
On the impact of IEEE 802.11 MAC on traffic characteristics.
IEEE J. Sel. Areas Commun., 2003

Route fragility: a novel metric for route selection in mobile ad hoc networks.
Proceedings of the 11th IEEE International Conference on Networks, 2003

Integrated end-to-end buffer management and congestion control for scalable video communications.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Modeling and analysis of traffic characteristics in IEEE 802.11 MAC based networks.
Proceedings of the Global Telecommunications Conference, 2002


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