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\n  \n 2026\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Broadband Content-Adaptive Moiré Meta-spectrometer.\n \n \n \n \n\n\n \n Ghosh, A.; Fröch, J. E; Majumdar, A.; and Saragadam, V.\n\n\n \n\n\n\n arXiv preprint arXiv:2607.17256. 2026.\n \n\n\n\n
\n\n\n\n \n \n \"Broadband paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ghosh2026broadband,\n  title={Broadband Content-Adaptive Moir{\\'e} Meta-spectrometer},\n  author={Ghosh, Arnab and Fr{\\"o}ch, Johannes E and Majumdar, Arka and Saragadam, Vishwanath},\n  journal={arXiv preprint arXiv:2607.17256},\n  year={2026},\n  url_Paper={https://arxiv.org/abs/2607.17256}\n}\n\n
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\n \n\n \n \n \n \n \n \n Broadband Wide Field of View Imaging with Computational Mirrors.\n \n \n \n \n\n\n \n Saragadam, V.; Nezakati, N.; Roy-Chowdhury, A.; and Boominathan, V.\n\n\n \n\n\n\n In European Conf. Computer Vision, 2026. \n \n\n\n\n
\n\n\n\n \n \n \"Broadband paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2026computational,\n  title={Broadband Wide Field of View Imaging with Computational Mirrors},\n  author={Saragadam, Vishwanath and Nezakati, Niki and Roy-Chowdhury, Amit and Boominathan, Vivek},\n  booktitle={European Conf. Computer Vision},\n  year={2026},\n  url_Paper={https://arxiv.org/abs/2605.00029},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n Provable and Robust Wavefront Sensing via Self-Reference Interferometry.\n \n \n \n \n\n\n \n Yismaw, N.; Saragadam, V.; Sankaranarayanan, A. C; and Asif, M S.\n\n\n \n\n\n\n In European Conf. Computer Vision, 2026. \n \n\n\n\n
\n\n\n\n \n \n \"Provable paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{yismaw2026provable,\n  title={Provable and Robust Wavefront Sensing via Self-Reference Interferometry},\n  author={Yismaw, Nebiyou and Saragadam, Vishwanath and Sankaranarayanan, Aswin C and Asif, M Salman},\n  booktitle={European Conf. Computer Vision},\n  year={2026},\n  url_Paper={https://arxiv.org/abs/2604.03564},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n Bridging Sparse Optics and Computational Reconstruction for Mid-Wave Infrared Imaging.\n \n \n \n\n\n \n Wang, J.; Saragadam, V.; Majumdar, A.; and Veeraraghavan, A.\n\n\n \n\n\n\n In CLEO: Fundamental Science, 2026. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{wang2026bridging,\n  title={Bridging Sparse Optics and Computational Reconstruction for Mid-Wave Infrared Imaging},\n  author={Wang, Jing and Saragadam, Vishwanath and Majumdar, Arka and Veeraraghavan, Ashok},\n  booktitle={CLEO: Fundamental Science},\n  year={2026},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n Snap-shot Hyperspectral Imaging Enabled by Metasurface.\n \n \n \n \n\n\n \n Xie, N.; Saragadam, V.; Fröch, J. E; Böhringer, K. F; and Majumdar, A.\n\n\n \n\n\n\n Nano Letters, 26(4): 1246-1253. 2026.\n \n\n\n\n
\n\n\n\n \n \n \"Snap-shot paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{xie2026snap,\n  title={Snap-shot Hyperspectral Imaging Enabled by Metasurface},\n  author={Xie, Ningzhi and Saragadam, Vishwanath and Fr{\\"o}ch, Johannes E and B{\\"o}hringer, Karl F and Majumdar, Arka},\n  journal={Nano Letters},\n  volume={26},\n  number={4},\n  pages={1246-1253},\n  year={2026},\n  url_Paper={https://pubs.acs.org/doi/10.1021/acs.nanolett.5c04868},\n  pubtype={Journal}\n}\n\n
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\n \n\n \n \n \n \n \n \n CARD: Correlation Aware Restoration with Diffusion.\n \n \n \n \n\n\n \n Nezakati, N.; Ghosh, A.; Roy-Chowdhury, A.; and Saragadam, V.\n\n\n \n\n\n\n In Conf. Computer Vision and Pattern Recognition, 2026. \n \n\n\n\n
\n\n\n\n \n \n \"CARD: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{nezakati2026card,\n  title={CARD: Correlation Aware Restoration with Diffusion},\n  author={Nezakati, Niki and Ghosh, Arnab and Roy-Chowdhury, Amit and Saragadam, Vishwanath},\n  booktitle={Conf. Computer Vision and Pattern Recognition},\n  year={2026},\n  url_Paper={https://arxiv.org/abs/2512.05268},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n Thermal is Always Wild: Characterizing and Addressing Challenges in Thermal-Only Novel View Synthesis.\n \n \n \n \n\n\n \n Aydin, M K.; Saragadam, V.; and Alexander, E.\n\n\n \n\n\n\n In Conf. Computer Vision and Pattern Recognition, 2026. \n \n\n\n\n
\n\n\n\n \n \n \"Thermal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{aydin2026thermal,\n  title={Thermal is Always Wild: Characterizing and Addressing Challenges in Thermal-Only Novel View Synthesis},\n  author={Aydin, M Kerem and Saragadam, Vishwanath and Alexander, Emma},\n  booktitle={Conf. Computer Vision and Pattern Recognition},\n  year={2026},\n  url_Paper={https://arxiv.org/abs/2603.20448},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations.\n \n \n \n \n\n\n \n Vyas, K.; Kayabasi, A.; Kim, D.; Saragadam, V.; Veeraraghavan, A.; and Balakrishnan, G.\n\n\n \n\n\n\n In Conf. Computer Vision and Pattern Recognition, 2026. \n \n\n\n\n
\n\n\n\n \n \n \"The paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{vyas2026surprising,\n  title={The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations},\n  author={Vyas, Kushal and Kayabasi, Alper and Kim, Daniel and Saragadam, Vishwanath and Veeraraghavan, Ashok and Balakrishnan, Guha},\n  booktitle={Conf. Computer Vision and Pattern Recognition},\n  year={2026},\n  url_Paper={https://arxiv.org/abs/2603.29034},\n  pubtype={Conference}\n}\n\n
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\n  \n 2025\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n NEWER: Neural Estimation of Wavelet-Embedded Representations.\n \n \n \n\n\n \n Kumar, V.; Miao, J.; Zhang, S.; Liao, H.; Yang, K.; Li, L.; Veeraraghavan, A.; Saragadam, V.; and Boominathan, V.\n\n\n \n\n\n\n In Asilomar Conf. Signals, Systems, and Computers, 2025. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kumar2025newer,\n  title={NEWER: Neural Estimation of Wavelet-Embedded Representations},\n  author={Kumar, Vishesh and Miao, Jingyi and Zhang, Shunyao and Liao, Huan-Cheng and Yang, Kaiyuan and Li, Lei and Veeraraghavan, Ashok and Saragadam, Vishwanath and Boominathan, Vivek},\n  booktitle={Asilomar Conf. Signals, Systems, and Computers},\n  year={2025},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n TDiff: Thermal Plug-and-Play Prior with Patch-Based Diffusion.\n \n \n \n \n\n\n \n Dashpute, P.; Nezakati, N.; Heidrich, W.; and Saragadam, V.\n\n\n \n\n\n\n In ACM Intl. Workshop on Thermal Sensing and Computing, 2025. \n \n\n\n\n
\n\n\n\n \n \n \"TDiff: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{dashpute2025tdiff,\n  title={TDiff: Thermal Plug-and-Play Prior with Patch-Based Diffusion},\n  author={Dashpute, Piyush and Nezakati, Niki and Heidrich, Wolfgang and Saragadam, Vishwanath},\n  booktitle={ACM Intl. Workshop on Thermal Sensing and Computing},\n  year={2025},\n  url_Paper={https://arxiv.org/abs/2510.06460},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n Implicit Neural Representation of Waveform Measurements in Power Systems Waveform Data Analysis.\n \n \n \n \n\n\n \n Ehsani, N.; Saragadam, V.; and Mohsenian-Rad, H.\n\n\n \n\n\n\n In IEEE Power & Energy Society General Meeting (PESGM), 2025. \n \n\n\n\n
\n\n\n\n \n \n \"Implicit paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{ehsani2025implicit,\n  title={Implicit Neural Representation of Waveform Measurements in Power Systems Waveform Data Analysis},\n  author={Ehsani, Narges and Saragadam, Vishwanath and Mohsenian-Rad, Hamed},\n  booktitle={IEEE Power \\& Energy Society General Meeting (PESGM)},\n  year={2025},\n  url_Paper={https://arxiv.org/abs/2505.09789},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n Bias for Action: Video Implicit Neural Representations with Bias Modulation.\n \n \n \n \n\n\n \n Kayabasi, A.; Vadathya, A. K.; Balakrishnan, G.; and Saragadam, V.\n\n\n \n\n\n\n In Conf. Computer Vision and Pattern Recognition, 2025. \n \n\n\n\n
\n\n\n\n \n \n \"Bias paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kayabasi2025bias,\n  title={Bias for Action: Video Implicit Neural Representations with Bias Modulation},\n  author={Kayabasi, Alper and Vadathya, Anil Kumar and Balakrishnan, Guha and Saragadam, Vishwanath},\n  booktitle={Conf. Computer Vision and Pattern Recognition},\n  year={2025},\n  url_Paper={https://arxiv.org/abs/2501.09277},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n A Golay Metalens for Long-Range, Large Aperture, Thermal Imaging via Sparse Aperture Computational Imaging.\n \n \n \n \n\n\n \n Wang, J.; Wirth-Singh, A.; Saragadam, V.; Johnson, R.; Majumdar, A.; and Veeraraghavan, A.\n\n\n \n\n\n\n Nature Communications, 16(1): 10281. 2025.\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{wang2025golay,\n  title={A Golay Metalens for Long-Range, Large Aperture, Thermal Imaging via Sparse Aperture Computational Imaging},\n  author={Wang, Jing and Wirth-Singh, Anna and Saragadam, Vishwanath and Johnson, Rose and Majumdar, Arka and Veeraraghavan, Ashok},\n  journal={Nature Communications},\n  volume={16},\n  number={1},\n  pages={10281},\n  year={2025},\n  url_Paper={https://www.nature.com/articles/s41467-025-65188-y},\n  pubtype={Journal}\n}\n\n
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\n \n\n \n \n \n \n \n \n Hyperspectral Imaging in Neurosurgery: A Review of Systems, Computational Methods, and Clinical Applications.\n \n \n \n \n\n\n \n Kotwal, A.; Saragadam, V.; Bernstock, J. D; Sandoval, A.; Veeraraghavan, A.; and Valdés, P. A\n\n\n \n\n\n\n Journal of Biomedical Optics, 30(2): 023512. 2025.\n \n\n\n\n
\n\n\n\n \n \n \"Hyperspectral paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{kotwal2025hyperspectral,\n  title={Hyperspectral Imaging in Neurosurgery: A Review of Systems, Computational Methods, and Clinical Applications},\n  author={Kotwal, Alankar and Saragadam, Vishwanath and Bernstock, Joshua D and Sandoval, Alfredo and Veeraraghavan, Ashok and Vald{\\'e}s, Pablo A},\n  journal={Journal of Biomedical Optics},\n  volume={30},\n  number={2},\n  pages={023512},\n  year={2025},\n  url_Paper={https://doi.org/10.1117/1.JBO.30.2.023512},\n  pubtype={Journal}\n}\n\n
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\n \n\n \n \n \n \n \n \n Alpine: Flexible, User-Friendly, and Distributed PyTorch Library for Implicit Neural Representation Development.\n \n \n \n \n\n\n \n Vyas, K.; Saragadam, V.; Veeraraghavan, A.; and Balakrishnan, G.\n\n\n \n\n\n\n 2025.\n \n\n\n\n
\n\n\n\n \n \n \"Alpine: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@misc{vyasalpine,\n  title={Alpine: Flexible, User-Friendly, and Distributed PyTorch Library for Implicit Neural Representation Development},\n  author={Vyas, Kushal and Saragadam, Vishwanath and Veeraraghavan, Ashok and Balakrishnan, Guha},\n  year={2025},\n  url_Paper={https://github.com/kushalvyas/alpine}\n}\n\n
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\n  \n 2024\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n \n DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors.\n \n \n \n \n\n\n \n Saragadam, V.; Balestriero, R.; Veeraraghavan, A.; and Baraniuk, R. G\n\n\n \n\n\n\n IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 46(12): 10337-10348. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"DeepTensor: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{saragadam2024deeptensor,\n  title={DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors},\n  author={Saragadam, Vishwanath and Balestriero, Randall and Veeraraghavan, Ashok and Baraniuk, Richard G},\n  journal={IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI)},\n  volume={46},\n  number={12},\n  pages={10337-10348},\n  year={2024},\n  url_Paper={https://arxiv.org/abs/2204.03145},\n  pubtype={Journal}\n}\n\n
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\n \n\n \n \n \n \n \n \n Broadband Thermal Imaging using Meta-Optics.\n \n \n \n \n\n\n \n Huang, L.; Han, Z.; Wirth-Singh, A.; Saragadam, V.; Mukherjee, S.; Fröch, J. E; Tanguy, Q. A.; Rollag, J.; Gibson, R.; Hendrickson, J. R; and others\n\n\n \n\n\n\n Nature Communications, 15(1): 1662. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"Broadband paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{huang2024broadband,\n  title={Broadband Thermal Imaging using Meta-Optics},\n  author={Huang, Luocheng and Han, Zheyi and Wirth-Singh, Anna and Saragadam, Vishwanath and Mukherjee, Saswata and Fr{\\"o}ch, Johannes E and Tanguy, Quentin AA and Rollag, Joshua and Gibson, Ricky and Hendrickson, Joshua R and others},\n  journal={Nature Communications},\n  volume={15},\n  number={1},\n  pages={1662},\n  year={2024},\n  url_Paper={https://arxiv.org/abs/2307.11385},\n  pubtype={Journal}\n}\n\n
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\n \n\n \n \n \n \n \n \n Foveated Thermal Computational Imaging Prototype using All-Silicon Meta-Optics.\n \n \n \n \n\n\n \n Saragadam, V.; Han, Z.; Boominathan, V.; Huang, L.; Tan, S.; Fröch, J. E; Böhringer, K. F; Baraniuk, R. G; Majumdar, A.; and Veeraraghavan, A.\n\n\n \n\n\n\n Optica, 11(1): 18-25. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"Foveated paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{saragadam2024foveated,\n  title={Foveated Thermal Computational Imaging Prototype using All-Silicon Meta-Optics},\n  author={Saragadam, Vishwanath and Han, Zheyi and Boominathan, Vivek and Huang, Luocheng and Tan, Shiyu and Fr{\\"o}ch, Johannes E and B{\\"o}hringer, Karl F and Baraniuk, Richard G and Majumdar, Arka and Veeraraghavan, Ashok},\n  journal={Optica},\n  volume={11},\n  number={1},\n  pages={18-25},\n  year={2024},\n  url_Paper={https://arxiv.org/abs/2212.06345},\n  pubtype={Journal}\n}\n\n
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\n \n\n \n \n \n \n \n \n TITAN: Bringing The Deep Image Prior to Implicit Representations.\n \n \n \n \n\n\n \n Luzi, L.; LeJeune, D.; Siahkoohi, A.; Alemohammad, S.; Saragadam, V.; Babaei, H.; Liu, N.; Wang, Z.; and Baraniuk, R. G\n\n\n \n\n\n\n In IEEE Intl. Conf. Acoustics, Speech and Signal Processing (ICASSP), 2024. \n \n\n\n\n
\n\n\n\n \n \n \"TITAN: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{luzi2024titan,\n  title={TITAN: Bringing The Deep Image Prior to Implicit Representations},\n  author={Luzi, Lorenzo and LeJeune, Daniel and Siahkoohi, Ali and Alemohammad, Sina and Saragadam, Vishwanath and Babaei, Hossein and Liu, Naiming and Wang, Zichao and Baraniuk, Richard G},\n  booktitle={IEEE Intl. Conf. Acoustics, Speech and Signal Processing (ICASSP)},\n  year={2024},\n  url_Paper={https://arxiv.org/abs/2211.00219},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n A Compressive Hyperspectral Video Imaging System using a Single-Pixel Detector.\n \n \n \n \n\n\n \n Xu, Y.; Lu, L.; Saragadam, V.; and Kelly, K. F\n\n\n \n\n\n\n Nature Communications, 15(1): 1456. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{xu2024compressive,\n  title={A Compressive Hyperspectral Video Imaging System using a Single-Pixel Detector},\n  author={Xu, Yibo and Lu, Liyang and Saragadam, Vishwanath and Kelly, Kevin F},\n  journal={Nature Communications},\n  volume={15},\n  number={1},\n  pages={1456},\n  year={2024},\n  url_Paper={https://www.nature.com/articles/s41467-024-45856-1},\n  pubtype={Journal}\n}\n\n
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\n \n\n \n \n \n \n \n \n Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction.\n \n \n \n \n\n\n \n Friday, S.; Shi, Y.; Cherivirala, Y.; Saragadam, V.; and Pediredla, A.\n\n\n \n\n\n\n In Conf. Computer Vision and Pattern Recognition, 2024. \n \n\n\n\n
\n\n\n\n \n \n \"Snapshot paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{friday2024snapshot,\n  title={Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction},\n  author={Friday, Sarah and Shi, Yunzi and Cherivirala, Yaswanth and Saragadam, Vishwanath and Pediredla, Adithya},\n  booktitle={Conf. Computer Vision and Pattern Recognition},\n  year={2024},\n  url_Paper={https://openaccess.thecvf.com/content/CVPR2024/papers/Friday_Snapshot_Lidar_Fourier_Embedding_of_Amplitude_and_Phase_for_Single-Image_CVPR_2024_paper.pdf},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n Implicit Neural Representations and the Algebra of Complex Wavelets.\n \n \n \n \n\n\n \n Roddenberry, T M.; Saragadam, V.; de Hoop, M. V; and Baraniuk, R. G\n\n\n \n\n\n\n In Intl. Conf. Learning Representations (ICLR), 2024. \n \n\n\n\n
\n\n\n\n \n \n \"Implicit paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{roddenberry2023implicit,\n  title={Implicit Neural Representations and the Algebra of Complex Wavelets},\n  author={Roddenberry, T Mitchell and Saragadam, Vishwanath and de Hoop, Maarten V and Baraniuk, Richard G},\n  booktitle={Intl. Conf. Learning Representations (ICLR)},\n  url_Paper={https://arxiv.org/abs/2310.00545},\n  year={2024}\n}\n\n
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\n  \n 2023\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n WIRE: Wavelet Implicit Neural Representations.\n \n \n \n \n\n\n \n Saragadam, V.; LeJeune, D.; Tan, J.; Balakrishnan, G.; Veeraraghavan, A.; and Baraniuk, R. G\n\n\n \n\n\n\n In Conf. Computer Vision and Pattern Recognition, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"WIRE: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 25 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2023wire,\n  title={WIRE: Wavelet Implicit Neural Representations},\n  author={Saragadam, Vishwanath and LeJeune, Daniel and Tan, Jasper and Balakrishnan, Guha and Veeraraghavan, Ashok and Baraniuk, Richard G},\n  booktitle={Conf. Computer Vision and Pattern Recognition},\n  year={2023},\n  url_Paper={https://arxiv.org/pdf/2301.05187.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n \n Thermal Spread Functions (TSF): Physics-guided Material Classification.\n \n \n \n \n\n\n \n Dashpute, A.; Saragadam, V.; Alexander, E.; Willomitzer, F.; Katsaggelos, A.; Veeraraghavan, A.; and Cossairt, O.\n\n\n \n\n\n\n In Conf. Computer Vision and Pattern Recognition, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Thermal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{dashpute2023thermal,\n  title={Thermal Spread Functions (TSF): Physics-guided Material Classification},\n  author={Dashpute, Aniket and Saragadam, Vishwanath and Alexander, Emma and Willomitzer, Florian and Katsaggelos, Aggelos and Veeraraghavan, Ashok and Cossairt, Oliver},\n  booktitle={Conf. Computer Vision and Pattern Recognition},\n  year={2023},\n  url_Paper={https://arxiv.org/abs/2304.00696}\n}\n\n
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\n \n\n \n \n \n \n \n \n Programmable Spectral Filter Arrays using Phase Spatial Light Modulators.\n \n \n \n \n\n\n \n Saragadam, V.; Rengarajan, V.; Tadano, R.; Zhuang, T.; Oyaizu, H.; Murayama, J.; and Sankaranarayanan, A. C\n\n\n \n\n\n\n In IEEE Intl. Conf. Computational Photography (ICCP), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Programmable paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2023programmable,\n  title={Programmable Spectral Filter Arrays using Phase Spatial Light Modulators},\n  author={Saragadam, Vishwanath and Rengarajan, Vijay and Tadano, Ryuichi and Zhuang, Tuo and Oyaizu, Hideki and Murayama, Jun and Sankaranarayanan, Aswin C},\n  booktitle={IEEE Intl. Conf. Computational Photography (ICCP)},\n  year={2023},\n  url_Paper={https://arxiv.org/pdf/2109.14450.pdf},\n  pubtype={Conference}\n}\n\n
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\n  \n 2022\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n MINER: Multiscale Implicit Neural Representations.\n \n \n \n \n\n\n \n Saragadam, V.; Tan, J.; Balakrishnan, G.; Baraniuk, R.; and Veeraraghavan, A.\n\n\n \n\n\n\n In European Conf. Computer Vision, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"MINER: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 19 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2022miner,\n  title={MINER: Multiscale Implicit Neural Representations},\n  author={Vishwanath Saragadam and Jasper Tan and Guha Balakrishnan and Richard Baraniuk and Ashok Veeraraghavan},\n  booktitle={European Conf. Computer Vision},\n  year={2022},\n  url_Paper={https://arxiv.org/pdf/2202.03532.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n \n PS2F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing.\n \n \n \n \n\n\n \n Ghanekar, B.; Saragadam, V.; Mehra, D.; Gustavsson, A.; Sankaranarayanan, A. C; and Veeraraghavan, A.\n\n\n \n\n\n\n IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI),1-12. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"PS2F: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ghanekar2022ps,\n  title={PS2F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing},\n  author={Ghanekar, Bhargav and Saragadam, Vishwanath and Mehra, Dushyant and Gustavsson, Anna-Karin and Sankaranarayanan, Aswin C and Veeraraghavan, Ashok},\n  journal={IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI)},\n  volume={},\n  number={},\n  pages={1-12},\n  url_Paper={https://arxiv.org/pdf/2207.00945.pdf},\n  year={2022}\n}\n\n
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\n \n\n \n \n \n \n \n \n Improving Transformer with an Admixture of Attention Heads.\n \n \n \n \n\n\n \n Nguyen, T.; Nguyen, T.; Do, H.; Nguyen, K.; Saragadam, V.; Pham, M.; Nguyen, K. D.; Ho, N.; and Osher, S.\n\n\n \n\n\n\n In Advances in Neural Information Processing Systems (NeurIPS), volume 35, pages 27937-27952, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Improving paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{nguyen2022improving,\n  title={Improving Transformer with an Admixture of Attention Heads},\n  author={Nguyen, Tan and Nguyen, Tam and Do, Hai and Nguyen, Khai and Saragadam, Vishwanath and Pham, Minh and Nguyen, Khuong Duy and Ho, Nhat and Osher, Stanley},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  volume={35},\n  pages={27937-27952},\n  year={2022},\n  url_Paper={https://proceedings.neurips.cc/paper_files/paper/2022/hash/b2e4edd53059e24002a0c916d75cc9a3-Abstract-Conference.html},\n  pubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n Evolution of Mood Symptomatology through the COVID-19 Pandemic: Findings from the CovidSense Longitudinal Study.\n \n \n \n \n\n\n \n Moukaddam, N.; Saragadam, V.; Abbasi, M.; Barnett, M.; Vadathya, A. K.; Veeraraghavan, A.; and Sabharwal, A.\n\n\n \n\n\n\n Cureus, 14(10). 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Evolution paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{moukaddam2022evolution,\n  title={Evolution of Mood Symptomatology through the COVID-19 Pandemic: Findings from the CovidSense Longitudinal Study},\n  author={Moukaddam, Nidal and Saragadam, Vishwanath and Abbasi, Mahsan and Barnett, Matt and Vadathya, Anil Kumar and Veeraraghavan, Ashok and Sabharwal, Ashutosh},\n  journal={Cureus},\n  volume={14},\n  number={10},\n  year={2022},\n  url_Paper={https://pmc.ncbi.nlm.nih.gov/articles/PMC9529234/},\n  pubtype={Journal}\n}\n\n
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\n  \n 2021\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Thermal Image Processing via Physics-Inspired Deep Networks.\n \n \n \n \n\n\n \n Saragadam, V.; Dave, A.; Veeraraghavan, A.; and Baraniuk, R.\n\n\n \n\n\n\n In IEEE Intl. Conf. Computer vision (ICCV) 2nd Workshop on Learning for Computational Imaging, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"Thermal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 17 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2021thermal,\n  title={Thermal Image Processing via Physics-Inspired Deep Networks},\n  author={Vishwanath Saragadam and Akshat Dave and Ashok Veeraraghavan and Richard Baraniuk},\n  booktitle={IEEE Intl. Conf. Computer vision (ICCV) 2nd Workshop on Learning for Computational Imaging},\n  year={2021},\n  url_Paper={https://arxiv.org/pdf/2108.07973.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n \n SASSI–Super-Pixelated Adaptive Spatio-Spectral Imaging.\n \n \n \n \n\n\n \n Saragadam, V.; DeZeeuw, M.; Baraniuk, R.; Veeraraghavan, A.; and Sankaranarayanan, A.\n\n\n \n\n\n\n IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 43(7): 2233-2244. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"SASSI–Super-Pixelated paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 12 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{saragadam2020sassi,\n  title={SASSI--Super-Pixelated Adaptive Spatio-Spectral Imaging},\n  author={Saragadam, Vishwanath and DeZeeuw, Michael and Baraniuk, Richard and Veeraraghavan, Ashok and Sankaranarayanan, Aswin},\n  journal={IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI)},\n  volume={43},\n  number={7},\n  pages={2233-2244},\n  url_Paper={https://arxiv.org/pdf/2012.14495.pdf},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n \n SliceNets–A Scalable Approach for Object Detection in 3D CT Scans.\n \n \n \n \n\n\n \n Yang, A.; Pan, F.; Saragadam, V.; Dao, D.; Hui, Z.; Chang, J. R.; and Sankaranarayanan, A. C\n\n\n \n\n\n\n In IEEE Winter Conf. Applications of Computer Vision (WACV), 2021. \n \n\n\n\n
\n\n\n\n \n \n \"SliceNets–A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{yang2021slicenets,\n  title={SliceNets--A Scalable Approach for Object Detection in 3D CT Scans},\n  author={Yang, Anqi and Pan, Feng and Saragadam, Vishwanath and Dao, Duy and Hui, Zhuo and Chang, Jen-Hao Rick and Sankaranarayanan, Aswin C},\n  booktitle={IEEE Winter Conf. Applications of Computer Vision (WACV)},\n  url_Paper={http://imagesci.ece.cmu.edu/files/paper/2021/SliceNets_WACV21.pdf},\n  year={2021}\n}\n\n
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\n  \n 2020\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Spectrally-Programmable Cameras for Imaging and Inference.\n \n \n \n \n\n\n \n Saragadam, V.\n\n\n \n\n\n\n Ph.D. Thesis, Carnegie Mellon University, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Spectrally-Programmable paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 19 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@phdthesis{saragadam2020spectrally,\n  title={Spectrally-Programmable Cameras for Imaging and Inference},\n  author={Saragadam, Vishwanath},\n  year={2020},\n  school={Carnegie Mellon University},\n  url_Paper={files/papers/vishwa_thesis.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n \n Programmable Spectrometry: Per-Pixel Material Classification using Learned Spectral Filters.\n \n \n \n \n\n\n \n Saragadam, V.; and Sankaranarayanan, A.\n\n\n \n\n\n\n In IEEE Intl. Conf. Computational Photography (ICCP), 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Programmable paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2020programmable,\n\ttitle={Programmable Spectrometry: Per-Pixel Material Classification using Learned Spectral Filters},\n\tauthor={Saragadam, Vishwanath and Sankaranarayanan, Aswin},\n\tbooktitle={IEEE Intl. Conf. Computational Photography (ICCP)},\n\tyear={2020},\n\turl_Paper={files/papers/vishwa_iccp2020.pdf},\n\tpubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n On Space-Spectrum Uncertainty Analysis for Spectrally-Programmable Cameras.\n \n \n \n \n\n\n \n Saragadam, V.; and Sankaranarayanan, A.\n\n\n \n\n\n\n In OSA Optics Express, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"On paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2020uncertainty,\n\ttitle={On Space-Spectrum Uncertainty Analysis for Spectrally-Programmable Cameras},\n\tauthor={Saragadam, Vishwanath and Sankaranarayanan, Aswin},\n\tbooktitle={OSA Optics Express},\n\tyear={2020},\n\turl_Paper={files/papers/vishwa_osa2020.pdf},\n\tpubtype={Journal}\n}\n\n
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\n  \n 2019\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Micro-baseline Structured Light.\n \n \n \n \n\n\n \n Saragadam, V.; Wang, J.; Gupta, M.; and Nayar, S.\n\n\n \n\n\n\n In IEEE Intl. Conf. Computer Vision (ICCV), 2019. \n \n\n\n\n
\n\n\n\n \n \n \"Micro-baseline paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2019msl,\n\ttitle={Micro-baseline Structured Light},\n\tauthor={Saragadam, Vishwanath and Wang, Jian and Gupta, Mohit and Nayar, Shree},\n\tbooktitle={IEEE Intl. Conf. Computer Vision (ICCV)},\n\tyear={2019},\n\turl_Paper={files/papers/vishwa_iccv2019.pdf},\n\tpubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n KRISM: Krylov Subspace-based Optical Computing of Hyperspectral Images.\n \n \n \n \n\n\n \n Saragadam, V.; and Sankaranarayanan, A.\n\n\n \n\n\n\n ACM Trans. Graphics, 38(5): 148:1-14. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"KRISM: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{saragadam2018krism,\n  title={KRISM: Krylov Subspace-based Optical Computing of Hyperspectral Images},\n  author={Saragadam, Vishwanath and Sankaranarayanan, Aswin},\n  journal={ACM Trans. Graphics},\n  year={2019},\n  volume={38},\n  number={5},\n  pages={148:1-14},\n  url_Paper = {files/papers/vishwa_krism2018.pdf},\n  pubtype = {Journal}\n}\n\n
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\n \n\n \n \n \n \n \n \n Wavelet parsing with freeform lensing.\n \n \n \n \n\n\n \n Saragadam, V.; and Sankaranarayanan, A.\n\n\n \n\n\n\n In IEEE Intl. Conf. Computational Photography (ICCP), 2019. \n \n\n\n\n
\n\n\n\n \n \n \"Wavelet paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2019wavelet,\n\ttitle={Wavelet parsing with freeform lensing},\n\tauthor={Saragadam, Vishwanath and Sankaranarayanan, Aswin},\n\tbooktitle={IEEE Intl. Conf. Computational Photography (ICCP)},\n\tyear={2019},\n\turl_Paper={files/papers/vishwa_iccp2019.pdf},\n\tpubtype={Conference}\n}\n\n
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\n \n\n \n \n \n \n \n \n Cross-scale predictive dictionaries.\n \n \n \n \n\n\n \n Saragadam, V.; Sankaranarayanan, A.; and Li, X.\n\n\n \n\n\n\n IEEE Trans. Image Processing (TIP), 28(2): 803-814. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Cross-scale paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{saragadam2019cross,\n\ttitle={Cross-scale predictive dictionaries},\n\tauthor={Saragadam, Vishwanath and Sankaranarayanan, Aswin and Li, Xin},\n  \tjournal={IEEE Trans. Image Processing (TIP)},\n  \tyear={2019},\n\tvolume={28},\n\tnumber={2},\n\tpages={803-814},\n  \turl_Paper = {files/papers/vishwa_tip2019.pdf},\n}\n\n
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\n  \n 2017\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Compressive spectral anomaly detection.\n \n \n \n \n\n\n \n Saragadam, V.; Wang, J.; Li, X.; and Sankaranarayanan, A. C\n\n\n \n\n\n\n In IEEE Intl. Conf. Computational Photography (ICCP), 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Compressive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2017compressive,\n  title={Compressive spectral anomaly detection},\n  author={Saragadam, Vishwanath and Wang, Jian and Li, Xin and Sankaranarayanan, Aswin C},\n  booktitle={IEEE Intl. Conf. Computational Photography (ICCP)},\n  year={2017},\n  url_Paper = {files/papers/vishwa_iccp2017.pdf},\n  pubtype = {Conference}\n}\n\n
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\n  \n 2016\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Cross-scale predictive dictionaries for image and video restoration.\n \n \n \n \n\n\n \n Saragadam, V.; Sankaranarayanan, A. C; and Li, X.\n\n\n \n\n\n\n In IEEE Intl. Conf. Image Processing (ICIP), 2016. \n \n\n\n\n
\n\n\n\n \n \n \"Cross-scale paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{saragadam2016cross,\n  title={Cross-scale predictive dictionaries for image and video restoration},\n  author={Saragadam, Vishwanath and Sankaranarayanan, Aswin C and Li, Xin},\n  booktitle={IEEE Intl. Conf. Image Processing (ICIP)},\n  year={2016},\n  url_Paper = {files/papers/vishwa_icip2016.pdf},\n  pubtype = {Conference}\n}\n\n
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\n  \n 2011\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Designing a Tactograph Project.\n \n \n \n\n\n \n Vishwanath, S.; Veer, S; Mittapally, R; Chandrachoodan, N; Prabhakar, A; and Srinivasan, S\n\n\n \n\n\n\n 2011.\n \n\n\n\n
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@misc{vishwanath2011designing,\n\ttitle={Designing a Tactograph Project},\n\tauthor={Vishwanath, SRV and Veer, S and Mittapally, R and Chandrachoodan, N and Prabhakar, A and Srinivasan, S},\n\tyear={2011},\n\tpubtype={Journal}\n}\n
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