J. Tan, D. LeJeune, B. Mason, H. Javadi, R.G. Baraniuk
Published in: AISTATS, 2023
Study of how regularization can lead to larger models having both improved privacy and performance than their smaller counterparts.
Links: Paper
J. Tan, B. Mason, H. Javadi, R.G. Baraniuk
Published in: Neural Information Processing Systems (NeurIPS), 2022
Theoretical and empirical evidence showing how increasing the parameters of a regression model increases its vulnerability to membership inference attacks for various data settings.
Links: Paper
V. Saragadam, J. Tan, G. Balakrishnan, R.G. Baraniuk, A. Veeraraghavan
Published in: European Conference on Computer Vision (ECCV), 2022
A new multi-scale method for implicit neural representations based on residual learning and Laplacian pyramids resulting in high accuracy with very short training times.
J. Tan, V. Boominathan, R.G. Baraniuk, A. Veeraraghavan
Published in: Optica Optics Express, 2021
A method for extending the depth-of-field of large-aperture time-of-flight cameras with the help of a proposed efficient large-aperture time-of-flight simulator.
Links: Paper
S. Alemohammad, H. Babaei, R. Balestriero, M.Y. Cheung, A.I. Humayun, D. LeJeune, N. Liu, L. Luzi, J. Tan, Z. Wang, R.G. Baraniuk
Published in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Using the recurrent neural tangent kernel to perform kernel-based dimensionality reduction on variable-length signals/sequences
J. Tan, S.S. Khan, V. Boominathan, J. Byrne, R.G. Baraniuk, K. Mitra, A. Veeraraghavan
Published in: IEEE International Conference on Multimedia and Expo (ICME), 2020
A proposed design of a privacy-preserving sensor for machine learning tasks built by adding carefully chosen optical and analog components to a conventional imaging sensor.
S.S. Khan, A.V. R., V. Boominathan, J. Tan, A. Veeraraghavan, K. Mitra
Published in: IEEE/CVF International Conference on Computer Vision (ICCV), 2019
A deep learning method for reconstructing a high-quality image from a mask-based lensless camera capture.
J. Tan, C.S. Burrus
Published in: IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2019
A method based on Gauss-Newton optimization for designing IIR filters with near-linear phase responses.
J. Tan, L. Niu, J.K. Adams, V. Boominathan, J.T. Robinson, R.G. Baraniuk, A. Veeraraghavan
Published in: IEEE Transactions on Computational Imaging (TCI), 2018
A pipeline (with detailed evaluation) for performing face detection and verification using thin mask-based lensless cameras. A new large and diverse dataset of lensless face images is also provided.
J. Tan, V. Boominathan, A. Veeraraghavan, R.G. Baraniuk
Published in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
A study of the depth-of-field of coded aperture lensless cameras.
Links: Paper
J. Tan, S.G.M. Koo
Published in: IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2014
A categorization of the various technologies used to implement the Internet of Things.
Links: Paper