Nilesh Ahuja

Anomalib: A Deep Learning Library for Anomaly Detection

Samet Akçay, Dick Ameln, Ashwin Vaidya et al. · 2022 IEEE International Conference on Image Processing (ICIP) · 2022 · 132 citations

Computing, Computer Science, Computer Vision +14

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

Nilesh Ahuja, Ibrahima J. Ndiour, Trushant Kalyanpur et al. · arXiv (Cornell University) · 2019 · 37 citations · Full text

Computing, Computer Science, Computer Vision +16

Semantic-Preserving Image Compression

Neel Patwa, Nilesh Ahuja, V. Srinivasa Somayazulu et al. · 2020 · 33 citations

Computing, Cloud Computing, Computer Science +17

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

Parual Datta, Nilesh Ahuja, V. Srinivasa Somayazulu et al. · 2022 26th International Conference on Pattern Recognition (ICPR) · 2022 · 16 citations

Computing, Computer Engineering, Computer Science +17

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

Nilesh Ahuja, Parual Datta, Bhavya Kanzariya et al. · 2023 · 14 citations

Computing, Cloud Computing, Computer Science +16