Vishwanath Saragadam

According to our database, Vishwanath Saragadam authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Implicit Neural Representations and the Algebra of Complex Wavelets.

T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Titan: Bringing the Deep Image Prior to Implicit Representations.

Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2024

Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction.

Sarah Friday, Yunzi Shi, Yaswanth Cherivirala, Vishwanath Saragadam, Adithya Pediredla

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Programmable Spectral Filter Arrays using Phase Spatial Light Modulators.

Vishwanath Saragadam, Vijay Rengarajan, Ryuichi Tadano, Tuo Zhuang, Hideki Oyaizu, Jun Murayama, Aswin C. Sankaranarayanan

Proceedings of the IEEE International Conference on Computational Photography, 2023

WIRE: Wavelet Implicit Neural Representations.

Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Thermal Spread Functions (TSF): Physics-Guided Material Classification.

Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics.

Vishwanath Saragadam, Zheyi Han, Vivek Boominathan, Luocheng Huang, Shiyu Tan, Johannes E. Fröch, Karl F. Böhringer, Richard G. Baraniuk, Arka Majumdar, Ashok Veeraraghavan

CoRR, 2022

PS²F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing.

Bhargav Ghanekar, Vishwanath Saragadam, Dushyant Mehra, Anna-Karin Gustavsson, Aswin C. Sankaranarayanan, Ashok Veeraraghavan

CoRR, 2022

DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors.

Vishwanath Saragadam, Randall Balestriero, Ashok Veeraraghavan, Richard G. Baraniuk

CoRR, 2022

MINER: Multiscale Implicit Neural Representations.

Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan

CoRR, 2022

Improving Transformer with an Admixture of Attention Heads.

Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Duy Khuong Nguyen, Nhat Ho, Stanley J. Osher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MINER: Multiscale Implicit Neural Representation.

Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SASSI - Super-Pixelated Adaptive Spatio-Spectral Imaging.

Vishwanath Saragadam, Michael DeZeeuw, Richard G. Baraniuk, Ashok Veeraraghavan, Aswin C. Sankaranarayanan

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Programmable Spectral Filter Arrays for Hyperspectral Imaging.

Aswin C. Sankaranarayanan, Vishwanath Saragadam, Vijay Rengarajan, Ryuichi Tadano, Tuo Zhuang, Hideki Oyaizu, Jun Murayama

CoRR, 2021

SliceNets - A Scalable Approach for Object Detection in 3D CT Scans.

Anqi Yang, Feng Pan, Vishwanath Saragadam, Duy Dao, Zhuo Hui, Jen-Hao Rick Chang, Aswin C. Sankaranarayanan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Thermal Image Processing via Physics-Inspired Deep Networks.

Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Programmable Spectrometry: Per-pixel Material Classification using Learned Spectral Filters.

Vishwanath Saragadam, Aswin C. Sankaranarayanan

Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

2019

KRISM - Krylov Subspace-based Optical Computing of Hyperspectral Images.

Vishwanath Saragadam, Aswin C. Sankaranarayanan

ACM Trans. Graph., 2019

Cross-Scale Predictive Dictionaries.

Vishwanath Saragadam, Xin Li, Aswin C. Sankaranarayanan

IEEE Trans. Image Process., 2019

On Space-spectrum Uncertainty Analysis for Coded Aperture Systems.

Vishwanath Saragadam, Aswin C. Sankaranarayanan

CoRR, 2019

Programmable Spectrometry - Per-pixel Classification of Materials using Learned Spectral Filters.

Vishwanath Saragadam, Aswin C. Sankaranarayanan

CoRR, 2019

Micro-Baseline Structured Light.

Vishwanath Saragadam, Raja Venkata, Jian Wang, Shree K. Nayar, Mohit Gupta

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Wavelet Tree Parsing with Freeform Lensing.

Vishwanath Saragadam, Aswin C. Sankaranarayanan

Proceedings of the IEEE International Conference on Computational Photography, 2019

2017

Compressive spectral anomaly detection.

Vishwanath Saragadam, Jian Wang, Xin Li, Aswin C. Sankaranarayanan

Proceedings of the 2017 IEEE International Conference on Computational Photography, 2017

2016

Cross-scale predictive dictionaries for image and video restoration.

Vishwanath Saragadam, Aswin C. Sankaranarayanan, Xin Li

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016