Paolo Favaro

Paolo Favaro

Universität Bern

H-index: 50

Europe-Switzerland

About Paolo Favaro

Paolo Favaro, With an exceptional h-index of 50 and a recent h-index of 34 (since 2020), a distinguished researcher at Universität Bern, specializes in the field of computer vision, machine learning, computational photography, inverse problems, optimization methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D

Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model

Fast light-field 3D microscopy with out-of-distribution detection and adaptation through conditional normalizing flows

Masked and Shuffled Blind Spot Denoising for Real-World Images

Benchmarking zero-shot recognition with vision-language models: Challenges on granularity and specificity

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation

Denoising and selecting pseudo-heatmaps for semi-supervised human pose estimation

Enabling Visual Composition and Animation in Unsupervised Video Generation

Paolo Favaro Information

University

Position

Professor of Computer Vision

Citations(all)

12096

Citations(since 2020)

7377

Cited By

7275

hIndex(all)

50

hIndex(since 2020)

34

i10Index(all)

94

i10Index(since 2020)

65

Email

University Profile Page

Universität Bern

Google Scholar

View Google Scholar Profile

Paolo Favaro Skills & Research Interests

computer vision

machine learning

computational photography

inverse problems

optimization methods

Top articles of Paolo Favaro

Title

Journal

Author(s)

Publication Date

A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D

arXiv preprint arXiv:2402.18780

Xiaohan Fei

Chethan Parameshwara

Jiawei Mo

Xiaolong Li

Ashwin Swaminathan

...

2024/2/29

Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model

arXiv preprint arXiv:2404.18065

Xiaolong Li

Jiawei Mo

Ying Wang

Chethan Parameshwara

Xiaohan Fei

...

2024/4/28

Fast light-field 3D microscopy with out-of-distribution detection and adaptation through conditional normalizing flows

Biomedical optics express

Josué Page Vizcaíno

Panagiotis Symvoulidis

Zeguan Wang

Jonas Jelten

Paolo Favaro

...

2024/2/1

Masked and Shuffled Blind Spot Denoising for Real-World Images

arXiv preprint arXiv:2404.09389

Hamadi Chihaoui

Paolo Favaro

2024/4/15

Benchmarking zero-shot recognition with vision-language models: Challenges on granularity and specificity

Zhenlin Xu

Yi Zhu

Tiffany Deng

Abhay Mittal

Yanbei Chen

...

2024

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation

Proceedings of the AAAI Conference on Artificial Intelligence

Aram Davtyan

Paolo Favaro

2024/3/24

Denoising and selecting pseudo-heatmaps for semi-supervised human pose estimation

Zhuoran Yu

Manchen Wang

Yanbei Chen

Paolo Favaro

Davide Modolo

2024

Enabling Visual Composition and Animation in Unsupervised Video Generation

arXiv preprint arXiv:2403.14368

Aram Davtyan

Sepehr Sameni

Björn Ommer

Paolo Favaro

2024/3/21

SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes

arXiv preprint arXiv:2311.01646

Abdelhak Lemkhenter

Manchen Wang

Luca Zancato

Gurumurthy Swaminathan

Paolo Favaro

...

2023/11/3

Multi-scored sleep databases: how to exploit the multiple-labels in automated sleep scoring

Sleep

Luigi Fiorillo

Davide Pedroncelli

Valentina Agostini

Paolo Favaro

Francesca Dalia Faraci

2023/5/1

Spatio-Temporal Crop Aggregation for Video Representation Learning

Sepehr Sameni

Simon Jenni

Paolo Favaro

2023

Zero-shot Image Restoration via Diffusion Inversion

Hamadi Chihaoui

Abdelhak Lemkhenter

Paolo Favaro

2023/10/13

U-Sleep’s resilience to AASM guidelines

NPJ digital medicine

Luigi Fiorillo

Giuliana Monachino

Julia van der Meer

Marco Pesce

Jan D Warncke

...

2023/3/6

Efficient video prediction via sparsely conditioned flow matching

Aram Davtyan

Sepehr Sameni

Paolo Favaro

2023

Sparse 3d reconstruction via object-centric ray sampling

arXiv preprint arXiv:2309.03008

Llukman Cerkezi

Paolo Favaro

2023/9/6

ScaleDet: A scalable multi-dataset object detector

Yanbei Chen

Manchen Wang

Abhay Mittal

Zhenlin Xu

Paolo Favaro

...

2023

Representation learning by detecting incorrect location embeddings

Proceedings of the AAAI Conference on Artificial Intelligence

Sepehr Sameni

Simon Jenni

Paolo Favaro

2023/6/26

Multi-View Unsupervised Image Generation with Cross Attention Guidance

arXiv preprint arXiv:2312.04337

Llukman Cerkezi

Aram Davtyan

Sepehr Sameni

Paolo Favaro

2023/12/7

Learn the Force We Can: Multi-Object Video Generation from Pixel-Level Interactions

arXiv preprint arXiv:2306.03988

Aram Davtyan

Paolo Favaro

2023/6/6

A meta-learning approach to predicting performance and data requirements

Conference on Computer Vision and Pattern Recognition (CVPR)

Achin Jain

Gurumurthy Swaminathan

Paolo Favaro

Hao Yang

Avinash Ravichandran

...

2023/3/2

See List of Professors in Paolo Favaro University(Universität Bern)