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Vishwanath Saragadam
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2020 – today
- 2024
- [c15]Sarah Friday, Yunzi Shi
, Yaswanth Cherivirala, Vishwanath Saragadam, Adithya Pediredla:
Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction. CVPR 2024: 25203-25212 - [c14]Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk:
Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP 2024: 6165-6169 - [c13]T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk:
Implicit Neural Representations and the Algebra of Complex Wavelets. ICLR 2024 - 2023
- [c12]Aniket Dashpute
Thermal Spread Functions (TSF): Physics-Guided Material Classification. CVPR 2023: 1641-1650 - [c11]Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk:
WIRE: Wavelet Implicit Neural Representations. CVPR 2023: 18507-18516 - [c10]Vishwanath Saragadam, Vijay Rengarajan, Ryuichi Tadano, Tuo Zhuang, Hideki Oyaizu, Jun Murayama, Aswin C. Sankaranarayanan:
Programmable Spectral Filter Arrays using Phase Spatial Light Modulators. ICCP 2023: 1-12 - [i14]Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk:
WIRE: Wavelet Implicit Neural Representations. CoRR abs/2301.05187 (2023) - [i13]Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt:
Thermal Spread Functions (TSF): Physics-guided Material Classification. CoRR abs/2304.00696 (2023) - [i12]T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk:
Implicit Neural Representations and the Algebra of Complex Wavelets. CoRR abs/2310.00545 (2023) - 2022
- [c9]Vishwanath Saragadam
MINER: Multiscale Implicit Neural Representation. ECCV (23) 2022: 318-333 - [c8]Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Duy Khuong Nguyen, Nhat Ho, Stanley J. Osher:
Improving Transformer with an Admixture of Attention Heads. NeurIPS 2022 - [i11]Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan:
MINER: Multiscale Implicit Neural Representations. CoRR abs/2202.03532 (2022) - [i10]Vishwanath Saragadam, Randall Balestriero, Ashok Veeraraghavan, Richard G. Baraniuk:
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors. CoRR abs/2204.03145 (2022) - [i9]Bhargav Ghanekar, Vishwanath Saragadam, Dushyant Mehra
PS2F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing. CoRR abs/2207.00945 (2022) - [i8]Vishwanath Saragadam, Zheyi Han
Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics. CoRR abs/2212.06345 (2022) - 2021
- [j3]Vishwanath Saragadam
SASSI - Super-Pixelated Adaptive Spatio-Spectral Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2233-2244 (2021) - [c7]Vishwanath Saragadam
Thermal Image Processing via Physics-Inspired Deep Networks. ICCVW 2021: 4040-4048 - [c6]Anqi Yang, Feng Pan, Vishwanath Saragadam
SliceNets - A Scalable Approach for Object Detection in 3D CT Scans. WACV 2021: 335-344 - [i7]Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk:
Thermal Image Processing via Physics-Inspired Deep Networks. CoRR abs/2108.07973 (2021) - [i6]Aswin C. Sankaranarayanan, Vishwanath Saragadam, Vijay Rengarajan, Ryuichi Tadano, Tuo Zhuang, Hideki Oyaizu, Jun Murayama:
Programmable Spectral Filter Arrays for Hyperspectral Imaging. CoRR abs/2109.14450 (2021) - 2020
- [c5]Vishwanath Saragadam
Programmable Spectrometry: Per-pixel Material Classification using Learned Spectral Filters. ICCP 2020: 1-10 - [i5]Vishwanath Saragadam, Michael DeZeeuw, Richard G. Baraniuk, Ashok Veeraraghavan, Aswin C. Sankaranarayanan:
SASSI - Super-Pixelated Adaptive Spatio-Spectral Imaging. CoRR abs/2012.14495 (2020)
2010 – 2019
- 2019
- [j2]Vishwanath Saragadam
Cross-Scale Predictive Dictionaries. IEEE Trans. Image Process. 28(2): 803-814 (2019) - [j1]Vishwanath Saragadam
KRISM - Krylov Subspace-based Optical Computing of Hyperspectral Images. ACM Trans. Graph. 38(5): 148:1-148:14 (2019) - [c4]Vishwanath Saragadam
Wavelet Tree Parsing with Freeform Lensing. ICCP 2019: 1-10 - [c3]Vishwanath Saragadam
Micro-Baseline Structured Light. ICCV 2019: 4048-4057 - [i4]Vishwanath Saragadam, Aswin C. Sankaranarayanan:
Programmable Spectrometry - Per-pixel Classification of Materials using Learned Spectral Filters. CoRR abs/1905.04815 (2019) - [i3]Vishwanath Saragadam, Aswin C. Sankaranarayanan:
On Space-spectrum Uncertainty Analysis for Coded Aperture Systems. CoRR abs/1911.06956 (2019) - 2018
- [i2]Vishwanath Saragadam, Aswin C. Sankaranarayanan:
KRISM - Krylov Subspace-based Optical Computing of Hyperspectral Images. CoRR abs/1801.09343 (2018) - 2017
- [c2]Vishwanath Saragadam
Compressive spectral anomaly detection. ICCP 2017: 42-50 - 2016
- [c1]Vishwanath Saragadam
Cross-scale predictive dictionaries for image and video restoration. ICIP 2016: 709-713 - 2015
- [i1]Vishwanath Saragadam, Aswin C. Sankaranarayanan, Xin Li:
Cross-scale predictive dictionaries. CoRR abs/1511.05174 (2015)
Coauthor Index
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