Peyman Bateni

I am a Master's student at the University of British Columbia under the supervision of Dr. Frank Wood. I currently divide my time between the UBC PLAI Group as a graduate researcher and Inverted AI as a research engineer.

I completed my Bachelor's studies at the University of British Columbia where I had the pleasure of collaborating with Dr. Leonid Sigal and Dr. Guiseppe Carenini on a range of Computer Vision / NLP problems.

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Research / Publications

I'm broadly interested in developing methods that allow for intelligent reasoning within the visual space. My past research has been primarily focused on few-shot and semi-supervised learning of object classifiers and detectors. Recently, I've begun work on other problems in computer vision such as multi-object tracking/modelling, learnable data augmentation methods, and transfer learning.

Improving Few-Shot Visual Classification with Unlabelled Examples
Peyman Bateni*, Jarred Barber*, Jan-Willem van de Meent, Frank Wood
Pre-Print, currently under review

Neural RST-based Evaluation of Discourse Coherence
Grigorii Guz*, Peyman Bateni*, Darius Muglich, Giuseppe Carenini
Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the International Joint Conference on Natural Language Processing (IJCNLP), 2020
ArXiv  /  Code  /  Video

Improved Few-Shot Visual Classification
Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
(A short-form version of this paper was also accepted at the Visual Learning with Limited Labels Workshop at CVPR 2020)
Paper  /  ArXiv  /  Code  /  Video

Website adapted from Jon Barron