Portfolio item number 1
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portfolio
Portfolio item number 2
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publications
DeepISP: Learning End-to-End Image Processing Pipeline
Published in IEEE Transactions on Image Processing, 2018
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NICE: Noise Injection and Clamping Estimation for Neural Network Quantization
Published in Arxiv, 2018
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Delta-encoder: an effective sample synthesis method for few-shot object recognition
Published in Advances in Neural Information Processing Systems, 2018
Spotlight (3% acceptance rate)
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Baby steps towards few-shot learning with multiple semantics
Published in CVPR (Workshop), 2019
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RepMet: Representative-based metric learning for classification and one-shot object detection
Published in IEEE Conference on Computer Vision and Pattern Recognition, 2019
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Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
Published in IEEE International Conference on Image Processing (ICIP), 2019
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UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks
Published in ACM Transactions on Computer Systems (TOCS), 2020
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MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
Published in CVPR (Workshop), 2020
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Fine-grained Angular Contrastive Learning with Coarse Labels
Published in CVPR 2021, 2020
Oral
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ISP Distillation
Published in Arxiv, 2021
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StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
Published in AAAI21, 2021
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talks
Intro to AI
Published:
Intro to AI for young Arabs participating in the HASOUB Hackathon.
Neural Networks Quantization
Published:
Few-shot learning with multiple semantics
Published:
Small-Data in the Big-Data Era
Published:
A non-technical presentation summarizing my research, presented to ambassadors to Israel from around the world. Presentation
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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