Nilesh A. Ahuja

According to our database, Nilesh A. Ahuja authored at least 24 papers between 2005 and 2023.

Collaborative distances:

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

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

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

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

Meena Arunachalam, Vrushabh Sanghavi, Samudyatha Kaira, Nilesh A. Ahuja

IEEE Internet Things Mag., 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

Anomalib: A Deep Learning Library for Anomaly Detection.

Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh A. Ahuja, Ergin Utku Genc

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

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

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

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, 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

2020

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

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

CoRR, 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

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

Real-time Approximate Bayesian Computation for Scene Understanding.

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

CoRR, 2019

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

2007

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

Nilesh A. Ahuja, Nirmal K. Bose

EURASIP J. Adv. Signal Process., 2007

2006

Superresolution and noise filtering using moving least squares.

Nirmal K. Bose, Nilesh A. Ahuja

IEEE Trans. Image Process., 2006

Multidimensional Generalized Sampling Theorem for wavelet Based Image Superresolution.

Nilesh A. Ahuja, Nirmal K. Bose

Proceedings of the International Conference on Image Processing, 2006

2005

Spatiotemporal-bandwidth product of m-dimensional signals.

Nilesh A. Ahuja, Nirmal K. Bose

IEEE Signal Process. Lett., 2005