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Nilesh Ahuja

Observed names: Ahuja, Nilesh, Ahuja, Nilesh A., Nilesh A. Ahuja
ORCID: 0000-0001-9467-4628
Observed ORCID: 0000-0001-9467-4628
OpenAlex ID: A5111576805
Anomalib: A Deep Learning Library for Anomaly Detection
2022 · Samet Akcay, Dick Ameln, et al. · Proceedings - International Conference on Image Processing · 163
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection
2019 · Ahuja, Nilesh A., Ndiour, Ibrahima, et al. · arXiv (Cornell University) · 42
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Semantic-Preserving Image Compression
2020 · Neel Patwa, Nilesh Ahuja, et al. · Proceedings - International Conference on Image Processing · 36
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models
2023 · Nilesh Ahuja, Parual Datta, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 18
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing
2022 · Parual Datta, Nilesh Ahuja, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 17
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Deep Probabilistic Models to Detect Data Poisoning Attacks
2019 · Subedar, Mahesh, Ahuja, Nilesh, et al. · arXiv (Cornell University) · 15
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incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection
2022 · Amanda Rios, Nilesh Ahuja, et al. · Lecture notes in computer science · 13
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features
2020 · Ndiour, Ibrahima, Ahuja, Nilesh, et al. · arXiv (Cornell University) · 13
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Design of Large Field-of-View High-Resolution Miniaturized Imaging System
2007 · Nilesh A. Ahuja, N. K. Bose · EURASIP Journal on Advances in Signal Processing · 10
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A Robust Framework for Evaluation of Unsupervised Time-Series Anomaly Detection
2024 · Onat Gungor, Amanda Rios, et al. · Lecture notes in computer science · 9
Mitigating Sampling Bias and Improving Robustness in Active Learning
2021 · Krishnan, Ranganath, Sinha, Alok, et al. · arXiv (Cornell University) · 9
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Rate-Distortion Theory in Coding for Machines and Its Applications
2025 · Alon Harell, Yalda Foroutan, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 8
Continual Active Adaptation to Evolving Distributional Shifts
2022 · Amrutha Machireddy, Ranganath Krishnan, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 8
Multidimensional Generalized Sampling Theorem for wavelet Based Image Superresolution
2006 · Nilesh A. Ahuja, N. K. Bose · Proceedings - International Conference on Image Processing · 6
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection
2022 · Ibrahima J. Ndiour, Nilesh A. Ahuja, et al. · Proceedings - International Conference on Image Processing · 5
Tree pyramidal adaptive importance sampling
2019 · Felip, Javier, Ahuja, Nilesh, et al. · arXiv (Cornell University) · 5
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End-to-End Industrial IoT: Software Optimization and Acceleration
2022 · Meena Arunachalam, Vrushabh Sanghavi, et al. · IEEE Internet of Things Magazine · 4
Rate-Distortion Theory in Coding for Machines and its Application
2023 · Harell, Alon, Foroutan, Yalda, et al. · arXiv (Cornell University) · 3
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FRE: A Fast Method For Anomaly Detection And Segmentation
2022 · Ndiour, Ibrahima, Ahuja, Nilesh, et al. · arXiv (Cornell University) · 3
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Energy-Based Anomaly Detection and Localization
2021 · Genc, Ergin Utku, Ahuja, Nilesh, et al. · arXiv (Cornell University) · 2
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Parts-Mamba: Augmenting Joint Context with Part-Level Scanning for Occluded Human Skeleton
2026 · Tianyi Shen, Huijuan Xu, et al. · Proceedings - International Conference on Image Processing · 1
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Compression without Compromise: Optimizing Point Cloud Object Detection with Bottleneck Architectures For Split Computing
2024 · Vinay Kashyap, Nilesh Ahuja, et al. · IEEE International Conference on Multimedia and Expo workshops · 1
Anomalib: A Deep Learning Library for Anomaly Detection
2022 · Akcay, Samet, Ameln, Dick, et al. · arXiv (Cornell University) · 1
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Improving Robustness and Efficiency in Active Learning with Contrastive Loss.
2021 · Ranganath Krishnan, Nilesh Ahuja, et al. · arXiv (Cornell University) · 1
Real-time Approximate Bayesian Computation for Scene Understanding
2019 · Felip, Javier, Ahuja, Nilesh, et al. · arXiv (Cornell University) · 1
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Works count: 49
Citation count: 395
H-index: 9
I10-index: 9
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