Nilesh A. Ahuja

Parual Datta

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

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

[BibT_eX]

[DOI]

Vinay Kashyap

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

2023

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

[BibT_eX]

[DOI]

Anderson de Andrade

Ivan V. Bajic

CoRR, 2023

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

[BibT_eX]

[DOI]

Parual Datta

Bhavya Kanzariya

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

FRE: A Fast Method For Anomaly Detection And Segmentation.

[BibT_eX]

[DOI]

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

2022

End-to-End Industrial IoT: Software Optimization and Acceleration.

[BibT_eX]

[DOI]

IEEE Internet Things Mag., 2022

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

[BibT_eX]

[DOI]

Parual Datta

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

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

[BibT_eX]

[DOI]

Ibrahima J. Ndiour

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

Anomalib: A Deep Learning Library for Anomaly Detection.

[BibT_eX]

[DOI]

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

incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Continual Active Adaptation to Evolving Distributional Shifts.

[BibT_eX]

[DOI]

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

2021

Improving Robustness and Efficiency in Active Learning with Contrastive Loss.

[BibT_eX]

[DOI]

CoRR, 2021

Mitigating Sampling Bias and Improving Robustness in Active Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Energy-Based Anomaly Detection and Localization.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

Ibrahima J. Ndiour

CoRR, 2020

Semantic-Preserving Image Compression.

[BibT_eX]

[DOI]

Neel Patwa

Srenivas Varadarajan

Shashidhar G. Koolagudi

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Tree pyramidal adaptive importance sampling.

[BibT_eX]

[DOI]

Javier Felip

CoRR, 2019

Deep Probabilistic Models to Detect Data Poisoning Attacks.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Real-time Approximate Bayesian Computation for Scene Understanding.

[BibT_eX]

[DOI]

Javier Felip

David Gómez-Gutiérrez

Vikash Mansinghka

CoRR, 2019

2017

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

[BibT_eX]

[DOI]

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

2007

Design of Large Field-of-View High-Resolution Miniaturized Imaging System.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2007

2006

Superresolution and noise filtering using moving least squares.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2006

Multidimensional Generalized Sampling Theorem for wavelet Based Image Superresolution.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2006

2005

Spatiotemporal-bandwidth product of m-dimensional signals.

[BibT_eX]

[DOI]