... | ... | @@ -76,7 +76,7 @@ Visual Machines Group, UCLA<br> |
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* Vilesov, A., Chari, P., Armouti, A., Harish, A.B., Kulkarni, K., Deoghare, A., Jalilian, L. and Kadambi, A., 2022. Blending camera and 77 GHz radar sensing for equitable, robust plethysmography. ACM Trans. Graph., 41(4), pp.36-1. doi: [10.1145/3528223.3530161](https://doi.org/10.1145/3528223.3530161)
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* Wang, Z., Ba, Y., Chari, P., Bozkurt, O.D., Brown, G., Patwa, P., Vaddi, N., Jalilian, L. and Kadambi, A., 2022. Synthetic generation of face videos with plethysmograph physiology. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 20587-20596). [[link](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Synthetic_Generation_of_Face_Videos_With_Plethysmograph_Physiology_CVPR_2022_paper.pdf)]
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* Chari, P., Ba, Y., Athreya, S. and Kadambi, A., 2022, October. Mime: Minority inclusion for majority group enhancement of ai performance. In European Conference on Computer Vision(pp. 326-343). Cham: Springer Nature Switzerland. [[link](https://visual.ee.ucla.edu/mime.htm/#:~:text=In%20other%20words%2C%20minority%20group,results%20on%20six%20different%20datasets.&text=When%20domain%20gap%20is%20small%2C%20the%20MIME%20effect%20holds.)]
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* Chari, P., Ma, S., Ostashev, D., Kadambi, A., Krishnan, G., Wang, J. and Aberman, K., 2023. Personalized Restoration via Dual-Pivot Tuning. arXiv preprint [arXiv:2312.17234](https://arxiv.org/abs/2312.17234).
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* Chari, P., Ma, S., Ostashev, D., Kadambi, A., Krishnan, G., Wang, J. and Aberman, K., 2023. Personalized Restoration via Dual-Pivot Tuning. [[arXiv:2312.17234](https://arxiv.org/abs/2312.17234)]
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