Nilesh A. Ahuja

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 21

Top Topics

Probabilistic Modeling

Anomaly Detection

Integer Arithmetic

Scene Understanding

Top Venues

Publications

Alon Harell, Yalda Foroutan, Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo, Anderson de Andrade, Ivan V. Bajic
Rate-Distortion Theory in Coding for Machines and its Application. CoRR (2023)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo
FRE: A Fast Method For Anomaly Detection And Segmentation. BMVC (2023)
Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models. CVPR (2023)
Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh A. Ahuja, Ergin Utku Genc
Anomalib: A Deep Learning Library for Anomaly Detection. CoRR (2022)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. CoRR (2022)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. ICIP (2022)
Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. ICPR (2022)
Amrutha Machireddy, Ranganath Krishnan, Nilesh A. Ahuja, Omesh Tickoo
Continual Active Adaptation to Evolving Distributional Shifts. CVPR Workshops (2022)
Amanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. ECCV (25) (2022)
Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. CoRR (2022)
Meena Arunachalam, Vrushabh Sanghavi, Samudyatha Kaira, Nilesh A. Ahuja
End-to-End Industrial IoT: Software Optimization and Acceleration. IEEE Internet Things Mag. 5 (1) (2022)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo
FRE: A Fast Method For Anomaly Detection And Segmentation. CoRR (2022)
Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh A. Ahuja, Ergin Utku Genc
Anomalib: A Deep Learning Library for Anomaly Detection. ICIP (2022)
Ergin Utku Genc, Nilesh A. Ahuja, Ibrahima J. Ndiour, Omesh Tickoo
Energy-Based Anomaly Detection and Localization. CoRR (2021)
Neel Patwa, Nilesh A. Ahuja, Srinivasa Somayazulu, Omesh Tickoo, Srenivas Varadarajan, Shashidhar G. Koolagudi
Semantic-Preserving Image Compression. ICIP (2020)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features. CoRR (2020)
Mahesh Subedar, Nilesh A. Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo
Deep Probabilistic Models to Detect Data Poisoning Attacks. CoRR (2019)
Javier Felip, Nilesh A. Ahuja, David Gómez-Gutiérrez, Omesh Tickoo, Vikash Mansinghka
Real-time Approximate Bayesian Computation for Scene Understanding. CoRR (2019)
Javier Felip, Nilesh A. Ahuja, Omesh Tickoo
Tree pyramidal adaptive importance sampling. CoRR (2019)
Nilesh A. Ahuja, Ibrahima J. Ndiour, Trushant Kalyanpur, Omesh Tickoo
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection. CoRR (2019)
Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Yeongseon Lee
A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic. ICCV Workshops (2017)
Nilesh A. Ahuja, Nirmal K. Bose
Design of Large Field-of-View High-Resolution Miniaturized Imaging System. EURASIP J. Adv. Signal Process. 2007 (2007)
Nilesh A. Ahuja, Nirmal K. Bose
Multidimensional Generalized Sampling Theorem for wavelet Based Image Superresolution. ICIP (2006)
Nirmal K. Bose, Nilesh A. Ahuja
Superresolution and noise filtering using moving least squares. IEEE Trans. Image Process. 15 (8) (2006)
Nilesh A. Ahuja, Nirmal K. Bose
Spatiotemporal-bandwidth product of m-dimensional signals. IEEE Signal Process. Lett. 12 (2) (2005)