Publications

40 / 4,031 publications found.


  •  Romero, D., Lohit, S., "Learning Partial Equivariances from Data", Advances in Neural Information Processing Systems (NeurIPS), S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh, Eds., November 2022, pp. 36466-36478.
    BibTeX TR2022-148 PDF Software Presentation
    • @inproceedings{Romero2022nov,
    • author = {Romero, David and Lohit, Suhas},
    • title = {{Learning Partial Equivariances from Data}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
    • pages = {36466--36478},
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-148}
    • }
  •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective", Advances in Neural Information Processing Systems (NeurIPS), S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh, Eds., November 2022, pp. 13456-13469.
    BibTeX TR2022-147 PDF
    • @inproceedings{Wang2022nov,
    • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
    • title = {{What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
    • pages = {13456--13469},
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-147}
    • }
  •  Ahmed, S.M., Lohit, S., Peng, K.-C., Jones, M.J., Roy Chowdhury, A.K., "Cross-Modal Knowledge Transfer Without Task-Relevant Source Data", European Conference on Computer Vision (ECCV), Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T., Eds., DOI: 10.1007/​978-3-031-19830-4_7, October 2022, pp. 111-127.
    BibTeX TR2022-135 PDF Video Software Presentation
    • @inproceedings{Ahmed2022oct,
    • author = {Ahmed, Sk Miraj and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Roy Chowdhury, Amit K.},
    • title = {{Cross-Modal Knowledge Transfer Without Task-Relevant Source Data}},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2022,
    • editor = {Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T.},
    • pages = {111--127},
    • month = oct,
    • publisher = {Springer},
    • doi = {10.1007/978-3-031-19830-4_7},
    • isbn = {978-3-031-19830-4},
    • url = {https://www.merl.com/publications/TR2022-135}
    • }
  •  Mansour, H., Lohit, S., Boufounos, P.T., "Distributed Radar Autofocus Imaging Using Deep Priors", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP46576.2022.9897332, October 2022, pp. 2511-2515.
    BibTeX TR2022-129 PDF Video
    • @inproceedings{Mansour2022oct,
    • author = {Mansour, Hassan and Lohit, Suhas and Boufounos, Petros T.},
    • title = {{Distributed Radar Autofocus Imaging Using Deep Priors}},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2022,
    • pages = {2511--2515},
    • month = oct,
    • doi = {10.1109/ICIP46576.2022.9897332},
    • url = {https://www.merl.com/publications/TR2022-129}
    • }
  •  Lohit, S., Jones, M.J., "Model Compression Using Optimal Transport", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2022.
    BibTeX TR2022-006 PDF Presentation
    • @inproceedings{Lohit2022jan,
    • author = {Lohit, Suhas and Jones, Michael J.},
    • title = {{Model Compression Using Optimal Transport}},
    • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    • year = 2022,
    • month = jan,
    • publisher = {CVF OpenAccess},
    • url = {https://www.merl.com/publications/TR2022-006}
    • }
  •  Romero, D., Lohit, S., "Learning equivariances and partial equivariances from data", arXiv, October 2021.
    BibTeX arXiv
    • @article{Romero2021oct,
    • author = {Romero, David and Lohit, Suhas},
    • title = {{Learning equivariances and partial equivariances from data}},
    • journal = {arXiv},
    • year = 2021,
    • month = oct,
    • url = {https://arxiv.org/abs/2110.10211}
    • }
  •  Comas, A., Marks, T.K., Mansour, H., Lohit, S., Ma, Y., Liu, X., "TURNIP: Time-series U-NET with Recurrence for NIR Imaging PPG", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP42928.2021.9506663, September 2021, pp. 309-313.
    BibTeX TR2021-099 PDF
    • @inproceedings{Comas2021sep,
    • author = {Comas, Armand and Marks, Tim K. and Mansour, Hassan and Lohit, Suhas and Ma, Yechi and Liu, Xiaoming},
    • title = {{TURNIP: Time-series U-NET with Recurrence for NIR Imaging PPG}},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2021,
    • pages = {309--313},
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/ICIP42928.2021.9506663},
    • url = {https://www.merl.com/publications/TR2021-099}
    • }
  •  Lohit, S., Anirudh, R., Turaga, P., "Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2021.
    BibTeX TR2021-004 PDF
    • @inproceedings{Lohit2021jan,
    • author = {Lohit, Suhas and Anirudh, Rushil and Turaga, Pavan},
    • title = {{Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization}},
    • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    • year = 2021,
    • month = jan,
    • publisher = {CVF OpenAccess},
    • url = {https://www.merl.com/publications/TR2021-004}
    • }
  •  Anirudh, R., Lohit, S., Turaga, P., "Generative Patch Priors for Practical Compressive Image Recovery", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2021.
    BibTeX TR2021-003 PDF
    • @inproceedings{Anirudh2021jan,
    • author = {Anirudh, Rushil and Lohit, Suhas and Turaga, Pavan},
    • title = {{Generative Patch Priors for Practical Compressive Image Recovery}},
    • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    • year = 2021,
    • month = jan,
    • publisher = {CVF OpenAccess},
    • url = {https://www.merl.com/publications/TR2021-003}
    • }
  •  Lohit, S., Jones, M.J., "Model Compression Using Optimal Transport", arXiv, December 2020.
    BibTeX arXiv
    • @article{Lohit2020dec3,
    • author = {{Lohit, Suhas and Jones, Michael J.}},
    • title = {{Model Compression Using Optimal Transport}},
    • journal = {arXiv},
    • year = 2020,
    • month = dec,
    • url = {https://arxiv.org/abs/2012.03907}
    • }
  •  Lohit, S., Trivedi, S., "Rotation-Invariant Autoencoders for Signals on Spheres", arXiv, December 2020.
    BibTeX arXiv
    • @article{Lohit2020dec2,
    • author = {Lohit, Suhas and Trivedi, Shubhendu},
    • title = {{Rotation-Invariant Autoencoders for Signals on Spheres}},
    • journal = {arXiv},
    • year = 2020,
    • month = dec,
    • url = {https://arxiv.org/abs/2012.04474}
    • }
  •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "Knowledge Distillation Thrives on Data Augmentation", arXiv, December 2020.
    BibTeX arXiv
    • @article{Wang2020dec3,
    • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
    • title = {{Knowledge Distillation Thrives on Data Augmentation}},
    • journal = {arXiv},
    • year = 2020,
    • month = dec,
    • url = {https://arxiv.org/abs/2012.02909}
    • }
  •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "Multi-Head Knowledge Distillation for Model Compression", arXiv, December 2020.
    BibTeX arXiv
    • @article{Wang2020dec2,
    • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
    • title = {{Multi-Head Knowledge Distillation for Model Compression}},
    • journal = {arXiv},
    • year = 2020,
    • month = dec,
    • url = {https://arxiv.org/abs/2012.02911}
    • }
  •  Anirudh, R., Lohit, S., Turaga, P., "Generative Patch Priors for Practical Compressive Image Recovery", arXiv, June 2020.
    BibTeX arXiv
    • @article{Anirudh2020jun,
    • author = {Anirudh, Rushil and Lohit, Suhas and Turaga, Pavan},
    • title = {{Generative Patch Priors for Practical Compressive Image Recovery}},
    • journal = {arXiv},
    • year = 2020,
    • month = jun,
    • url = {https://arxiv.org/abs/2006.10873}
    • }
  •  Lohit, S., Liu, D., Mansour, H., Boufounos, P.T., "Unrolled Projected Gradient Descent for Multi-Spectral Image Fusion", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP.2019.8683124, May 2019.
    BibTeX TR2019-010 PDF
    • @inproceedings{Lohit2019may,
    • author = {Lohit, Suhas and Liu, Dehong and Mansour, Hassan and Boufounos, Petros T.},
    • title = {{Unrolled Projected Gradient Descent for Multi-Spectral Image Fusion}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2019,
    • month = may,
    • doi = {10.1109/ICASSP.2019.8683124},
    • url = {https://www.merl.com/publications/TR2019-010}
    • }