| Properties determining choice of mother wavelet N Ahuja, S Lertrattanapanich, NK Bose IEE Proceedings-Vision, Image and Signal Processing 152 (5), 659-664, 2005 | 154 | 2005 |
| Superresolution and noise filtering using moving least squares NK Bose, NA Ahuja IEEE Transactions on Image Processing 15 (8), 2239-2248, 2006 | 131 | 2006 |
| Anomalib: A deep learning library for anomaly detection S Akcay, D Ameln, A Vaidya, B Lakshmanan, N Ahuja, U Genc 2022 IEEE International Conference on Image Processing (ICIP), 1706-1710, 2022 | 57 | 2022 |
| Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection NA Ahuja, I Ndiour, T Kalyanpur, O Tickoo Bayesian Deep Learning Workshop, NeurIPS 2019, 2019 | 54 | 2019 |
| Semantic-preserving image compression N Patwa, N Ahuja, S Somayazulu, O Tickoo, S Varadarajan, S Koolagudi 2020 IEEE International Conference on Image Processing (ICIP), 1281-1285, 2020 | 33 | 2020 |
| Devices and methods for accurately identifying objects in a vehicle's environment N Ahuja, I Ndiour, JF Leon, DG Gutierrez, R Krishnan, M Subedar, ... US Patent 11,586,854, 2023 | 31 | 2023 |
| Deep Probabilistic Models to Detect Data Poisoning Attacks M Subedar, N Ahuja, R Krishnan, IJ Ndiour, O Tickoo Bayesian Deep Learning Workshop, NeurIPS 2019, 2019 | 17 | 2019 |
| Out-of-distribution detection with subspace techniques and probabilistic modeling of features I Ndiour, N Ahuja, O Tickoo arXiv preprint arXiv:2012.04250, 2020 | 13 | 2020 |
| Methods and apparatus to obtain well-calibrated uncertainty in Deep Neural Networks R Krishnan, O Tickoo, N Ahuja, I Ndiour, M Subedar US Patent App. 17/133,072, 2021 | 11 | 2021 |
| Design of Large Field-of-View High-Resolution Miniaturized Imaging System N Ahuja Pennsylvania State University, 2008 | 10 | 2008 |
| Design of large field-of-view high-resolution miniaturized imaging system NA Ahuja, NK Bose EURASIP Journal on Advances in Signal Processing 2007 (1), 059546, 2007 | 10 | 2007 |
| Mitigating sampling bias and improving robustness in active learning R Krishnan, A Sinha, N Ahuja, M Subedar, O Tickoo, R Iyer arXiv preprint arXiv:2109.06321, 2021 | 8 | 2021 |
| Multidimensional generalized sampling theorem for wavelet based image superresolution NA Ahuja, NK Bose 2006 International Conference on Image Processing, 1589-1592, 2006 | 8 | 2006 |
| Collaborative 3-D environment map for computer-assisted or autonomous driving vehicles SG Sharma, SMI Alam, N Ahuja, A Kumar, J Martin, IJ Alvarez US Patent 11,507,084, 2022 | 6 | 2022 |
| incdfm: Incremental deep feature modeling for continual novelty detection A Rios, N Ahuja, I Ndiour, U Genc, L Itti, O Tickoo European Conference on Computer Vision, 588-604, 2022 | 6 | 2022 |
| A low-complexity approach to rate-distortion optimized variable bit-rate compression for split dnn computing P Datta, N Ahuja, VS Somayazulu, O Tickoo 2022 26th International Conference on Pattern Recognition (ICPR), 182-188, 2022 | 6 | 2022 |
| Continual active adaptation to evolving distributional shifts A Machireddy, R Krishnan, N Ahuja, O Tickoo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| Energy-Based Anomaly Detection and Localization E Utku Genc, N Ahuja, IJ Ndiour, O Tickoo International Conference on Learning Representations (ICLR) 2021, EBM Workshop, 2021 | 6* | 2021 |
| Robust multimodal sensor fusion for autonomous driving vehicles N Ahuja, IJ Alvarez, R Krishnan, IJ Ndiour, M Subedar, O Tickoo US Patent App. 16/911,100, 2020 | 6 | 2020 |
| Techniques for identifying and reducing block artifacts NA Ahuja, JE Caviedes US Patent 8,542,751, 2013 | 6 | 2013 |
