| 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 | 793 | 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 | 135 | 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 | 113 | 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 | 67 | 2019 |
| Reconstruction-free Inference from Compressive Measurements S Lohit Arizona State University, 2015 | 62 | 2015 |
| What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective H Wang, S Lohit, MJ Jones, Y Fu NeurIPS 2022 https://arxiv.org/abs/2012.02909, 2022 | 43* | 2022 |
| Learning Partial Equivariances from Data DW Romero, S Lohit NeurIPS 2022, arXiv preprint arXiv:2110.10211, 2022 | 32 | 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 | 30 | 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 | 19 | 2016 |
| Are Deep Neural Networks SMARTer than Second Graders? A Cherian, KC Peng, S Lohit, K Smith, JB Tenenbaum CVPR 2023 https://arxiv.org/abs/2212.09993, 2023 | 18 | 2023 |
| Rate-adaptive neural networks for spatial multiplexers S Lohit, R Singh, K Kulkarni, P Turaga arXiv preprint arXiv:1809.02850, 2018 | 18 | 2018 |
| Rate-Invariant Autoencoding of Time-Series K Koneripalli, S Lohit, R Anirudh, P Turaga International Conference on Acoustics, Speech and Signal Processing, 2020 | 16 | 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 | 16 | 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 | 15 | 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 | 13 | 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 | 11 | 2018 |
| Multi-head knowledge distillation for model compression H Wang, S Lohit, M Jones, Y Fu arXiv preprint arXiv:2012.02911, 2020 | 9 | 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 | 8 | 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 | 6 | 2021 |
| Rotation-invariant autoencoders for signals on spheres S Lohit, S Trivedi arXiv preprint arXiv:2012.04474, 2020 | 6 | 2020 |
Pavan TuragaGeometric Media Lab, Arizona State University在 asu.edu 的电子邮件经过验证
