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ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.449-458

2016

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Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images

IEEE transactions on computational imaging, 2018-09, Vol.4 (3), p.326-340

2018

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Direct inference on compressive measurements using convolutional neural networks

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.1913-1917

2016

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Model Compression Using Optimal Transport

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3645-3654

2022

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Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.12418-12427

2019

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Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, Vol.2023, p.1-5

2023

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Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021, p.2341-2350

2021

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Generative Patch Priors for Practical Compressive Image Recovery

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021, p.2534-2544

2021

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Distributed Radar Autofocus Imaging Using Deep Priors

2022 IEEE International Conference on Image Processing (ICIP), 2022, p.2511-2515

2022

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Unrolled Projected Gradient Descent for Multi-spectral Image Fusion

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.7725-7729

2019

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Unrolled iPPG: Video Heart Rate Estimation via Unrolling Proximal Gradient Descent

2023 IEEE International Conference on Image Processing (ICIP), 2023, p.2715-2719

2023

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Rate-Invariant Autoencoding of Time-Series

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.3732-3736

2020

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Pixel-Grounded Prototypical Part Networks

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, p.4756-4767

2024

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Turnip: Time-Series U-Net With Recurrence For NIR Imaging PPG

2021 IEEE International Conference on Image Processing (ICIP), 2021, p.309-313

2021

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Rank-Regularized Measurement Operators for Compressive Imaging

2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019, p.942-946

2019

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Are Deep Neural Networks SMARTer Than Second Graders?

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.10834-10844

2023

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CS-VQA: Visual Question Answering with Compressively Sensed Images

2018 25th IEEE International Conference on Image Processing (ICIP), 2018, p.1283-1287

2018

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Cross-Modal Knowledge Transfer Without Task-Relevant Source Data

Computer Vision - ECCV 2022, 2022, Vol.13694, p.111-127

2022

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Building Constraints, Geometric Invariants and Interpretability in Deep Learning: Applications in Computational Imaging and Vision

Lohit, Suhas Anand

2019

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Learning Invariant Riemannian Geometric Representations Using Deep Nets

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017, p.1329-1338

2017

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Reconstruction-free inference from compressive measurements

Lohit, Suhas Anand

2015

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Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-Aware Spatio-Temporal Sampling

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, p.19667-19679

2024

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TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, p.9015-9025

2024

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Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023, p.924-932

2023

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Reconstruction-free inference on compressive measurements

2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2015, p.16-24

2015

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ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements

Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images

Direct inference on compressive measurements using convolutional neural networks

Model Compression Using Optimal Transport

Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping

Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks

Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization

Generative Patch Priors for Practical Compressive Image Recovery

Distributed Radar Autofocus Imaging Using Deep Priors

Unrolled Projected Gradient Descent for Multi-spectral Image Fusion

Unrolled iPPG: Video Heart Rate Estimation via Unrolling Proximal Gradient Descent

Rate-Invariant Autoencoding of Time-Series

Pixel-Grounded Prototypical Part Networks

Turnip: Time-Series U-Net With Recurrence For NIR Imaging PPG

Rank-Regularized Measurement Operators for Compressive Imaging

Are Deep Neural Networks SMARTer Than Second Graders?

CS-VQA: Visual Question Answering with Compressively Sensed Images

Cross-Modal Knowledge Transfer Without Task-Relevant Source Data

Building Constraints, Geometric Invariants and Interpretability in Deep Learning: Applications in Computational Imaging and Vision

Learning Invariant Riemannian Geometric Representations Using Deep Nets

Reconstruction-free inference from compressive measurements

Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-Aware Spatio-Temporal Sampling

TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models

Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection

Reconstruction-free inference on compressive measurements

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