Publications

2025

1. 

   Data Generation for Hardware-Friendly Post-Training Quantization

   Lior Dikstein, Ariel Lapid, Arnon Netzer, and 1 more author

   In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

   Bib PDF

   @inproceedings{dikstein2025data,
     title = {Data Generation for Hardware-Friendly Post-Training Quantization},
     author = {Dikstein, Lior and Lapid, Ariel and Netzer, Arnon and Habi, Hai Victor},
     booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
     year = {2025}
   }

2. Efficient Image Restoration via Latent Consistency Flow Matching

   Elad Cohen, Idan Achituve, Idit Diamant, and 2 more authors

   arXiv preprint arXiv:2502.03500, 2025

3. 

   Learned Bayesian Cram\backslash’er-Rao Bound for Unknown Measurement Models Using Score Neural Networks

   Hai Victor Habi, Hagit Messer, and Yoram Bresler

   arXiv preprint arXiv:2502.00724, 2025

   Bib

   @article{habi2025learned,
     title = {Learned Bayesian Cram$\backslash$'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks},
     author = {Habi, Hai Victor and Messer, Hagit and Bresler, Yoram},
     journal = {arXiv preprint arXiv:2502.00724},
     year = {2025},
   }

2024

1. 

   Learning the Barankin lower bound on doa estimation error

   Hai Victor Habi, Hagit Messer, and Yoram Bresler

   In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

   Bib

   @inproceedings{habi2024learning,
     title = {Learning the Barankin lower bound on doa estimation error},
     author = {Habi, Hai Victor and Messer, Hagit and Bresler, Yoram},
     booktitle = {ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {9906--9910},
     year = {2024},
     organization = {IEEE}
   }

2. 

   Fully Quantized Neural Networks for Audio Source Separation

   Elad Cohen, Hai Victor Habi, Reuven Peretz, and 1 more author

   IEEE Open Journal of Signal Processing, 2024

   Bib

   @article{cohen2024fully,
     title = {Fully Quantized Neural Networks for Audio Source Separation},
     author = {Cohen, Elad and Habi, Hai Victor and Peretz, Reuven and Netzer, Arnon},
     journal = {IEEE Open Journal of Signal Processing},
     year = {2024},
     publisher = {IEEE}
   }

3. Lower Bounds on Non-Bayesian Parameter Estimation Errors Under Reparameterization

   Shay Sagiv, Hagit Messer, Hai Victor Habi, and 1 more author

   In 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM), 2024
4. Data formats and standards for opportunistic rainfall sensors

   Martin Fencl, Roberto Nebuloni, Jafet CM Andersson, and 8 more authors

   Open Research Europe, 2024

   Bib

   @article{fencl2024data,
     title = {Data formats and standards for opportunistic rainfall sensors},
     author = {Fencl, Martin and Nebuloni, Roberto and Andersson, Jafet CM and Bares, Vojtech and Blettner, Nico and Cazzaniga, Greta and Chwala, Christian and Colli, Matteo and de Vos, Lotte and El Hachem, Abbas and others},
     journal = {Open Research Europe},
     volume = {3},
     pages = {169},
     year = {2024}
   }

2023

1. EPTQ: Enhanced Post-Training Quantization via Label-Free Hessian

   Ofir Gordon, Hai Victor Habi, and Arnon Netzer

   arXiv preprint arXiv:2309.11531, 2023

   Bib

   @article{gordon2023eptq,
     title = {EPTQ: Enhanced Post-Training Quantization via Label-Free Hessian},
     author = {Gordon, Ofir and Habi, Hai Victor and Netzer, Arnon},
     journal = {arXiv preprint arXiv:2309.11531},
     year = {2023}
   }

2. 

   Learning to bound: A generative Cramér-Rao bound

   Hai Victor Habi, Hagit Messer, and Yoram Bresler

   IEEE Transactions on Signal Processing, 2023

   Bib HTML PDF Code

   @article{habi2023learning,
     title = {Learning to bound: A generative Cram{\'e}r-Rao bound},
     author = {Habi, Hai Victor and Messer, Hagit and Bresler, Yoram},
     journal = {IEEE Transactions on Signal Processing},
     volume = {71},
     pages = {1216--1231},
     year = {2023},
     publisher = {IEEE}
   }

3. Rain Estimation Over a Region Using Cyclegan

   Sergey Timinsky, Hai Victor Habi, and Jonatan Ostrometzky

   In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023
4. Towards Fully Quantized Neural Networks For Speech Enhancement

   Elad Cohen, Hai Victor Habi, and Arnon Netzer

   In Interspeech 2023, 2023

   DOI Bib

   @inproceedings{cohen23_interspeech,
     title = {Towards Fully Quantized Neural Networks For Speech Enhancement},
     author = {Cohen, Elad and Habi, Hai Victor and Netzer, Arnon},
     year = {2023},
     booktitle = {Interspeech 2023},
     pages = {181--185},
     doi = {10.21437/Interspeech.2023-883},
     issn = {2958-1796}
   }

5. 

   Learned generative misspecified lower bound

   Hai Victor Habi, Hagit Messer, and Yoram Bresler

   In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

   Bib

   @inproceedings{habi2023learned,
     title = {Learned generative misspecified lower bound},
     author = {Habi, Hai Victor and Messer, Hagit and Bresler, Yoram},
     booktitle = {ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {1--5},
     year = {2023},
     organization = {IEEE}
   }

6. On the Cramér-Rao Bound Under a Linear Transformation of the Parameter

   Hai Victor Habi, Hagit Messer, Shay Sagiv, and 1 more author

   In 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023

   Bib

   @inproceedings{habi2023cramer,
     title = {On the Cram{\'e}r-Rao Bound Under a Linear Transformation of the Parameter},
     author = {Habi, Hai Victor and Messer, Hagit and Sagiv, Shay and Tabrikian, Joseph},
     booktitle = {2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
     pages = {426--430},
     year = {2023},
     organization = {IEEE}
   }

2022

1. Rain field retrieval by ground-level sensors of various types

   HAGIT Messer, A Eshel, Hai Victor Habi, and 2 more authors

   Frontiers in Signal Processing, 2022

   Bib

   @article{messer2022rain,
     title = {Rain field retrieval by ground-level sensors of various types},
     author = {Messer, HAGIT and Eshel, A and Habi, Hai Victor and Sagiv, S and Zheng, X},
     journal = {Frontiers in Signal Processing},
     volume = {2},
     pages = {877336},
     year = {2022},
     publisher = {Frontiers Media SA}
   }

2020

1. 

   Hmq: Hardware friendly mixed precision quantization block for cnns

   Hai Victor Habi, Roy H Jennings, and Arnon Netzer

   2020

   Bib HTML PDF Video

   @book{habi2020hmq,
     title = {Hmq: Hardware friendly mixed precision quantization block for cnns},
     author = {Habi, Hai Victor and Jennings, Roy H and Netzer, Arnon},
     booktitle = {Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XXVI 16},
     pages = {448--463},
     year = {2020},
     organization = {Springer},
   }

2. 

   Uncertainties in short commercial microwave links fading due to rain

   Hai Victor Habi, and Hagit Messer

   In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

   Bib HTML Video Code

   @inproceedings{habi2020uncertainties,
     title = {Uncertainties in short commercial microwave links fading due to rain},
     author = {Habi, Hai Victor and Messer, Hagit},
     booktitle = {ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {9006--9010},
     year = {2020},
     organization = {IEEE},
   }

3. 

   Recurrent neural network for rain estimation using commercial microwave links

   Hai Victor Habi, and Hagit Messer

   IEEE Transactions on Geoscience and Remote Sensing, 2020

   Bib HTML Code

   @article{habi2020recurrent,
     title = {Recurrent neural network for rain estimation using commercial microwave links},
     author = {Habi, Hai Victor and Messer, Hagit},
     journal = {IEEE Transactions on Geoscience and Remote Sensing},
     volume = {59},
     number = {5},
     pages = {3672--3681},
     year = {2020},
     publisher = {IEEE},
   }

2019

1. Rnn models for rain detection

   Hai Victor Habi, and Hagit Messer

   In 2019 IEEE International Workshop on Signal Processing Systems (SiPS), 2019

   Bib Code

   @inproceedings{habi2019rnn,
     title = {Rnn models for rain detection},
     author = {Habi, Hai Victor and Messer, Hagit},
     booktitle = {2019 IEEE International Workshop on Signal Processing Systems (SiPS)},
     pages = {184--188},
     year = {2019},
     organization = {IEEE},
   }

2. Rain detection and estimation using recurrent neural network and commercial microwave links

   Hai Victor Habi

   M. Sc. Thesis, 2019

   Bib Code

   @article{habi2019rain,
     title = {Rain detection and estimation using recurrent neural network and commercial microwave links},
     author = {Habi, Hai Victor},
     journal = {M. Sc. Thesis},
     year = {2019},
     publisher = {Tel Aviv University},
   }

2018

1. Wet-dry classification using LSTM and commercial microwave links

   Hai Victor Habi, and Hagit Messer

   In 2018 IEEE 10th sensor array and multichannel signal processing workshop (SAM), 2018

   Bib HTML Code

   @inproceedings{habi2018wet,
     title = {Wet-dry classification using LSTM and commercial microwave links},
     author = {Habi, Hai Victor and Messer, Hagit},
     booktitle = {2018 IEEE 10th sensor array and multichannel signal processing workshop (SAM)},
     pages = {149--153},
     year = {2018},
     organization = {IEEE},
   }