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With Yann Lecun in our Group, NYU.
Recent News:
Feb 2024: our work "Large Language Models: A Survey" is now available on arXiv.
March 2022: Our work on "Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning" accepted in CVPR.
June 2021: Our work on "Regularized Submodular Maximization at Scale" accepted in ICML.
Apr 2021: Our paper "Deep Learning--based Text Classification: A Comprehensive Review" is published at ACM Computing Surveys.
Feb 2021: Our paper "Image Segmentation Using Deep Learning: A Survey " is published at IEEE PAMI.
Feb 2024: our work "Large Language Models: A Survey" is now available on arXiv.
March 2022: Our work on "Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning" accepted in CVPR.
June 2021: Our work on "Regularized Submodular Maximization at Scale" accepted in ICML.
Apr 2021: Our paper "Deep Learning--based Text Classification: A Comprehensive Review" is published at ACM Computing Surveys.
Feb 2021: Our paper "Image Segmentation Using Deep Learning: A Survey " is published at IEEE PAMI.
Welcome to my personal webpage.
I joined Snap Inc, as a Machine Learning Lead.
I obtained my PhD degree from New York University (Joint ECE and Computer Science). I received my B.Sc degree from Sharif University of Technology.
During my PhD, I worked under supervision of professor Yao Wang, focusing on deep learning applications in computer vision, segmentation, biometric recognition, and NLP.
I also worked at Expedia Group, Samsung Research America, and AT&T Research Labs, previously.
Here is the link to my Github: https://github.com/shervinmin
And here is my medium page (I mainly post ML tutorials there): https://medium.com/@shervin.minaee