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\n \n \n Fix it now\n

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\n  \n 2023\n \n \n (4)\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 arXiv preprint arXiv:2310.00545. 2023.\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 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{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  journal={arXiv preprint arXiv:2310.00545},\n  url_Paper={https://arxiv.org/abs/2310.00545},\n  year={2023}\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; Rollag, J.; Gibson, R.; Hendrickson, J. R; Hon, P. W.; and others\n\n\n \n\n\n\n arXiv preprint arXiv:2307.11385. 2023.\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 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{huang2023broadband,\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 Rollag, Joshua and Gibson, Ricky and Hendrickson, Joshua R and Hon, Phillip WC and others},\n  journal={arXiv preprint arXiv:2307.11385},\n  year={2023},\n  url_Paper={https://arxiv.org/abs/2307.11385}\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 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{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 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 22 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, Gua 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 2022\n \n \n (5)\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 16 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 TITAN: Bringing The Deep Image Prior to Implicit Representations.\n \n \n \n \n\n\n \n LeJeune, D.; Luzi, L.; Siahkoohi, A.; Alemohammad, S.; Saragadam, V.; Babaei, H.; Liu, N.; Wang, Z.; and Baraniuk, R. G\n\n\n \n\n\n\n arXiv preprint arXiv:2211.00219. 2022.\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 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{lejeune2022titan,\n  title={TITAN: Bringing The Deep Image Prior to Implicit Representations},\n  author={LeJeune, Daniel and Luzi, Lorenzo and Siahkoohi, Ali and Alemohammad, Sina and Saragadam, Vishwanath and Babaei, Hossein and Liu, Naiming and Wang, Zichao and Baraniuk, Richard G},\n  journal={arXiv preprint arXiv:2211.00219},\n  year={2022},\n  url_Paper={https://arxiv.org/pdf/2211.00219.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n \n Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics.\n \n \n \n \n\n\n \n Saragadam, V.; Han, Z.; Boominathan, V.; Huang, L.; Tan, S.; Froech, J. E.; Boehringer, K. F.; Majumdar, A.; and Veeraraghavan, A.\n\n\n \n\n\n\n arXiv preprint arXiv:2212.06345. 2022.\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 15 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{saragadam2022foveated,\n  title={Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics},\n  author={Saragadam, Vishwanath and Han, Zheyi and Boominathan, Vivek and Huang, Luocheng and Tan, Shiyu and Froech, Johannes E. and Boehringer, Karl F., Baraniuk, Richard G. and Majumdar, Arka and Veeraraghavan, Ashok},\n  journal={arXiv preprint arXiv:2212.06345},\n  year={2022},\n  url_Paper={https://arxiv.org/pdf/2212.06345.pdf}\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 arXiv preprint arXiv:2204.03145. 2022.\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 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{saragadam2022deeptensor,\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={arXiv preprint arXiv:2204.03145},\n  year={2022},\n  url_Paper={https://arxiv.org/pdf/2204.03145.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 2021\n \n \n (4)\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 arXiv preprint arXiv:2109.14450. 2021.\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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@article{sankaranarayanan2021programmable,\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  journal={arXiv preprint arXiv:2109.14450},\n  year={2021},\n  url_Paper={https://arxiv.org/pdf/2109.14450.pdf}\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 16 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 11 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 18 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 7 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 \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 \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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