Nilesh A. Ahuja
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
7
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction. | Sankeerth Durvasula, Sharanshangar Muhunthan, Zain Moustafa, Richard Chen, Ruofan Liang, Yushi Guan, Nilesh A. Ahuja, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar |
| 2025 | ICLR | Retri3D: 3D Neural Graphics Representation Retrieval. | Yushi Guan, Daniel Kwan, Jean Sebastien Dandurand, Xi Yan, Ruofan Liang, Yuxuan Zhang, Nilesh Jain, Nilesh A. Ahuja, Selvakumar Panneer, Nandita Vijaykumar |
| 2024 | ICPR | Split-DNN Computing for Video Analytics. | Nagabhushan Eswara, Jaroslaw Sydir, V. Srinivasa Somayazulu, Parual Datta, Nilesh A. Ahuja, Omesh Tickoo |
| 2024 | ICPR | A Robust Framework for Evaluation of Unsupervised Time-Series Anomaly Detection. | Onat Gngr, Amanda Rios, Priyanka Mudgal, Nilesh A. Ahuja, Tajana Rosing |
| 2023 | BMVC | FRE: A Fast Method For Anomaly Detection And Segmentation. | Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo |
| 2023 | CVPR | 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 |
| 2022 | CVPR | Continual Active Adaptation to Evolving Distributional Shifts. | Amrutha Machireddy, Ranganath Krishnan, Nilesh A. Ahuja, Omesh Tickoo |
| 2022 | ECCV | incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. | Amanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo |
| 2022 | ICIP | Anomalib: A Deep Learning Library for Anomaly Detection. | Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh A. Ahuja, Ergin Utku Genc |
| 2022 | ICIP | Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. | Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo |
| 2022 | ICPR | 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 |
| 2020 | ICIP | Semantic-Preserving Image Compression. | Neel Patwa, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo, Srenivas Varadarajan, Shashidhar G. Koolagudi |
| 2006 | ICIP | Multidimensional Generalized Sampling Theorem for wavelet Based Image Superresolution. | Nilesh A. Ahuja, Nirmal K. Bose |