Suhas Lohit
Cited by
Cited by
Reconnet: Non-iterative reconstruction of images from compressively sensed measurements
K Kulkarni, S Lohit, P Turaga, R Kerviche, A Ashok
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Convolutional neural networks for noniterative reconstruction of compressively sensed images
S Lohit, K Kulkarni, R Kerviche, P Turaga, A Ashok
IEEE Transactions on Computational Imaging 4 (3), 326-340, 2018
Direct inference on compressive measurements using convolutional neural networks
S Lohit, K Kulkarni, P Turaga
2016 IEEE international conference on image processing (ICIP), 1913-1917, 2016
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping
S Lohit, Q Wang, P Turaga
IEEE Conference on Computer Vision and Pattern Recognition, 2019
Reconstruction-free Inference from Compressive Measurements
S Lohit
Arizona State University, 2015
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective
H Wang, S Lohit, MJ Jones, Y Fu
NeurIPS 2022, 2022
Learning Partial Equivariances from Data
DW Romero, S Lohit
NeurIPS 2022, arXiv preprint arXiv:2110.10211, 2022
Unrolled Projected Gradient Descent for Multi-Spectral Image Fusion
S Lohit, D Liu, H Mansour, PT Boufounos
IEEE International Conference on Acoustics, Speech and Signal Processing, 2019
A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer
Q Wang, S Lohit, MJ Toledo, MP Buman, P Turaga
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Are Deep Neural Networks SMARTer than Second Graders?
A Cherian, KC Peng, S Lohit, K Smith, JB Tenenbaum
CVPR 2023, 2023
Rate-adaptive neural networks for spatial multiplexers
S Lohit, R Singh, K Kulkarni, P Turaga
arXiv preprint arXiv:1809.02850, 2018
Rate-Invariant Autoencoding of Time-Series
K Koneripalli, S Lohit, R Anirudh, P Turaga
International Conference on Acoustics, Speech and Signal Processing, 2020
Learning invariant Riemannian geometric representations using deep nets
S Lohit, P Turaga
Proceedings of the IEEE International Conference on Computer Vision, 1329-1338, 2017
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data
SM Ahmed, S Lohit, KC Peng, MJ Jones, AK Roy-Chowdhury
ECCV 2022 Oral, arXiv preprint arXiv:2209.04027, 2022
Recovering trajectories of unmarked joints in 3d human actions using latent space optimization
S Lohit, R Anirudh, P Turaga
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
CS-VQA: visual question answering with compressively sensed images
LC Huang, K Kulkarni, A Jha, S Lohit, S Jayasuriya, P Turaga
2018 25th IEEE International Conference on Image Processing (ICIP), 1283-1287, 2018
Multi-head knowledge distillation for model compression
H Wang, S Lohit, M Jones, Y Fu
arXiv preprint arXiv:2012.02911, 2020
Systems and methods for multi-spectral image fusion using unrolled projected gradient descent and convolutinoal neural network
D Liu, S Lohit, H Mansour, P Boufounos
US Patent 10,891,527, 2021
Turnip: Time-series U-Net with recurrence for NIR imaging PPG
A Comas, TK Marks, H Mansour, S Lohit, Y Ma, X Liu
2021 IEEE International Conference on Image Processing (ICIP), 309-313, 2021
Rotation-invariant autoencoders for signals on spheres
S Lohit, S Trivedi
arXiv preprint arXiv:2012.04474, 2020
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