Vishwanath Saragadam

41 papers A* 7A 1B 5Misc 1Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations. CoRR Kushal Vyas, Alper Kayabasi, Daniel Kim, Vishwanath Saragadam, Ashok Veeraraghavan, Guha Balakrishnan
2026	J	`jnl`	Thermal is Always Wild: Characterizing and Addressing Challenges in Thermal-Only Novel View Synthesis. CoRR M. Kerem Aydin, Vishwanath Saragadam, Emma Alexander
2025	A*	`conf`	Bias for Action: Video Implicit Neural Representations with Bias Modulation. CVPR Alper Kayabasi, Anil Kumar Vadathya, Guha Balakrishnan, Vishwanath Saragadam
2025	J	`jnl`	Bias for Action: Video Implicit Neural Representations with Bias Modulation. CoRR Alper Kayabasi, Anil Kumar Vadathya, Guha Balakrishnan, Vishwanath Saragadam
2025	J	`jnl`	CARD: Correlation Aware Restoration with Diffusion. CoRR Niki Nezakati, Arnab Ghosh, Amit K. Roy-Chowdhury, Vishwanath Saragadam
2025	—	`conf`	NEWER: Neural Estimation of Wavelet-Embedded Representations. IEEECONF Vishesh Kumar, Jingyi Miao, Shunyao Zhang, Huan-Cheng Liao, Kaiyuan Yang, Lei Li, Ashok Veeraraghavan, Vishwanath Saragadam, Vivek Boominathan
2025	J	`jnl`	PS$^{2}$2 F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing. IEEE Trans. Pattern Anal. Mach. Intell. Bhargav Ghanekar, Vishwanath Saragadam, Dushyant Mehra, Anna-Karin Gustavsson, Aswin C. Sankaranarayanan, Ashok Veeraraghavan
2025	J	`jnl`	TDiff: Thermal Plug-And-Play Prior with Patch-Based Diffusion. CoRR Piyush Dashpute, Niki Nezakati, Wolfgang Heidrich, Vishwanath Saragadam
2024	J	`jnl`	DeepTensor: Low-Rank Tensor Decomposition With Deep Network Priors. IEEE Trans. Pattern Anal. Mach. Intell. Vishwanath Saragadam, Randall Balestriero, Ashok Veeraraghavan, Richard G. Baraniuk
2024	A*	`conf`	Implicit Neural Representations and the Algebra of Complex Wavelets. ICLR T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
2024	A*	`conf`	Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction. CVPR Sarah Friday, Yunzi Shi, Yaswanth Cherivirala, Vishwanath Saragadam, Adithya Pediredla
2024	Misc	`conf`	Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk
2023	J	`jnl`	Implicit Neural Representations and the Algebra of Complex Wavelets. CoRR T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
2023	B	`conf`	Programmable Spectral Filter Arrays using Phase Spatial Light Modulators. ICCP Vishwanath Saragadam, Vijay Rengarajan, Ryuichi Tadano, Tuo Zhuang, Hideki Oyaizu, Jun Murayama, Aswin C. Sankaranarayanan
2023	A*	`conf`	Thermal Spread Functions (TSF): Physics-Guided Material Classification. CVPR Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt
2023	J	`jnl`	Thermal Spread Functions (TSF): Physics-guided Material Classification. CoRR Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt
2023	A*	`conf`	WIRE: Wavelet Implicit Neural Representations. CVPR Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
2023	J	`jnl`	WIRE: Wavelet Implicit Neural Representations. CoRR Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
2022	J	`jnl`	DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors. CoRR Vishwanath Saragadam, Randall Balestriero, Ashok Veeraraghavan, Richard G. Baraniuk
2022	J	`jnl`	Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics. CoRR Vishwanath Saragadam, Zheyi Han, Vivek Boominathan, Luocheng Huang, Shiyu Tan, Johannes E. Fröch, Karl F. Böhringer, Richard G. Baraniuk, Arka Majumdar, Ashok Veeraraghavan
2022	A*	`conf`	Improving Transformer with an Admixture of Attention Heads. NeurIPS Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Duy Khuong Nguyen, Nhat Ho, Stanley J. Osher
2022	—	`conf`	MINER: Multiscale Implicit Neural Representation. ECCV (23) Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan
2022	J	`jnl`	MINER: Multiscale Implicit Neural Representations. CoRR Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan
2022	J	`jnl`	PS CoRR Bhargav Ghanekar, Vishwanath Saragadam, Dushyant Mehra, Anna-Karin Gustavsson, Aswin C. Sankaranarayanan, Ashok Veeraraghavan
2021	J	`jnl`	Programmable Spectral Filter Arrays for Hyperspectral Imaging. CoRR Aswin C. Sankaranarayanan, Vishwanath Saragadam, Vijay Rengarajan, Ryuichi Tadano, Tuo Zhuang, Hideki Oyaizu, Jun Murayama
2021	J	`jnl`	SASSI - Super-Pixelated Adaptive Spatio-Spectral Imaging. IEEE Trans. Pattern Anal. Mach. Intell. Vishwanath Saragadam, Michael DeZeeuw, Richard G. Baraniuk, Ashok Veeraraghavan, Aswin C. Sankaranarayanan
2021	A	`conf`	SliceNets - A Scalable Approach for Object Detection in 3D CT Scans. WACV Anqi Yang, Feng Pan, Vishwanath Saragadam, Duy Dao, Zhuo Hui, Jen-Hao Rick Chang, Aswin C. Sankaranarayanan
2021	—	`conf`	Thermal Image Processing via Physics-Inspired Deep Networks. ICCVW Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk
2021	J	`jnl`	Thermal Image Processing via Physics-Inspired Deep Networks. CoRR Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk
2020	B	`conf`	Programmable Spectrometry: Per-pixel Material Classification using Learned Spectral Filters. ICCP Vishwanath Saragadam, Aswin C. Sankaranarayanan
2020	J	`jnl`	SASSI - Super-Pixelated Adaptive Spatio-Spectral Imaging. CoRR Vishwanath Saragadam, Michael DeZeeuw, Richard G. Baraniuk, Ashok Veeraraghavan, Aswin C. Sankaranarayanan
2019	J	`jnl`	Cross-Scale Predictive Dictionaries. IEEE Trans. Image Process. Vishwanath Saragadam, Xin Li, Aswin C. Sankaranarayanan
2019	J	`jnl`	KRISM - Krylov Subspace-based Optical Computing of Hyperspectral Images. ACM Trans. Graph. Vishwanath Saragadam, Aswin C. Sankaranarayanan
2019	A*	`conf`	Micro-Baseline Structured Light. ICCV Vishwanath Saragadam, Raja Venkata, Jian Wang, Shree K. Nayar, Mohit Gupta
2019	J	`jnl`	On Space-spectrum Uncertainty Analysis for Coded Aperture Systems. CoRR Vishwanath Saragadam, Aswin C. Sankaranarayanan
2019	J	`jnl`	Programmable Spectrometry - Per-pixel Classification of Materials using Learned Spectral Filters. CoRR Vishwanath Saragadam, Aswin C. Sankaranarayanan
2019	B	`conf`	Wavelet Tree Parsing with Freeform Lensing. ICCP Vishwanath Saragadam, Aswin C. Sankaranarayanan
2018	J	`jnl`	KRISM - Krylov Subspace-based Optical Computing of Hyperspectral Images. CoRR Vishwanath Saragadam, Aswin C. Sankaranarayanan
2017	B	`conf`	Compressive spectral anomaly detection. ICCP Vishwanath Saragadam, Jian Wang, Xin Li, Aswin C. Sankaranarayanan
2016	B	`conf`	Cross-scale predictive dictionaries for image and video restoration. ICIP Vishwanath Saragadam, Aswin C. Sankaranarayanan, Xin Li
2015	J	`jnl`	Cross-scale predictive dictionaries. CoRR Vishwanath Saragadam, Aswin C. Sankaranarayanan, Xin Li