Francesc Moreno-Noguer

Research Scientist

Institut de Robòtica i Informàtica Industrial (CSIC-UPC) 
Llorens i Artigas 4-6, 08028, Barcelona 
Phone: +34 934010775 
fmoreno (at) iri.upc.edu

Bio

Francesc Moreno-Noguer received the MSc degrees in industrial engineering and electronics from the Technical University of Catalonia (UPC) and the Universitat de Barcelona in 2001 and 2002, respectively, and the PhD degree from UPC in 2005. From 2006 to 2008, he was a postdoctoral fellow at the computer vision departments of Columbia University and the Ecole Polytecnique Fédérale de Lausanne. In 2009, he joined the Institut de Robòtica i Informàtica Industrial in Barcelona where he is currently Research Scientist of the Spanish Scientific Research Council. His research interests are in Computer Vision and Machine Learning, with topics including human shape and motion estimation, 3D reconstruction of rigid and nonrigid shape and camera pose estimation from single images and video sequences. He received best paper honorable mention award at ECCV'18, best paper awards at ICCV workshop on Fashion'17, Machine Vision Applications'15, Jornadas Automática'14 and Ibpria'05, UPC’s Doctoral Dissertation Extraordinary Award in 2008, outstanding reviewer awards at ECCV'12 and CVPR'14, and Amazon research award (2019) and Google Faculty research awards (2017, 2019). More information can be found in his CV and in Google Scholar.

News

July 2022: 3 papers accepted at ECCV'22
July 2022: Talk at the Robotics & AI Summer School
June 2022: 2 papers accepted at IROS'22
June 2022: 2 papers to be presented at CVPR'22
January 2022: 1 paper accepted at ICRA'22
October 2021: Albert Pumarola successfully defended his thesis. Congratulations !!!
October 2021: Received an ICCV Outstanding Reviewer Award
October 2021: Talk at the Computer Vision Lab of EPNC
October 2021: 4 papers (3 posters, 1 oral) accepted at 3DV
October 2021: 2 papers to be presented at ICCV'21
July 2021: Antonio Rubio successfully defended his thesis "Fashion Discovery: A Computer Vision Approach"
June 2021: Received a CVPR Outstanding Reviewer Award
June 2021: Talk at the Robotics & AI Summer School
March 2021: 4 papers (3 posters, 1 oral) accepted at CVPR'21
March 2021: 1 paper accepted at PAMI
March 2021: 1 paper accepted at ICRA'21
January 2021: Presenting GanHand at ICPR'21 Workshop on Perception and Modeling for Manipulation of Objects
July 2020: 1 paper accepted at ECCV'20
June 2020: 3 papers (2 posters, 1 oral) accepted at CVPR'20
June 2020: Talk at the Robotics & AI Summer School
June 2020: Serving as Area Chair for ICRA'20 
July 2019: Visiting CMU for 3 months
July 2019: 2 papers accepted at ICCV'19
July 2019: GANimation has been accepted in IJCV
April 2019: Talk at Czech Technical University
February 2019: Received an Amazon Research Award
December 2018: Talk at the Deep Learning Barcelona Symposium
September 2018: GANimation received the Best Paper Honorable Mention Award at ECCV !!! 
August 2018: 1 Paper on Deformable 3D Reconstruction accepted to Transactions on Multimedia  
July 2018: 1 paper accepted to ECCV'18 on Facial Animation (Oral presentation)
April 2018: 2 papers accepted to ICPR'18 
March 2018: 3 papers accepted to CVPR'18 (2 spotlights, 1 poster)
March 2018: Serving as Area Chair for ICPR'18
February 2018: PAMI paper on Reconstruction of Multiple Deformable Bodies
January 2018: 1 paper accepted to ICRA'18 
January 2018: Accepted National project HuMoUR “Markerless 3D Human Motion Understanding for Adaptive Robot Behavior”
November 2017: Visiting Vincent Lepetit at LabRI (Univ. Bordeaux)
October 2017: Best Paper award for our paper on Product Detection in Fashion, ICCV'17 workshop in Fashion
September 2017: PAMI paper on Force-based representation for NRSfM 
June 2017: E.Simo-Serra (under my supervision) received the UPC's PhD Thesis Extraordinary Award
June 2017: Antonio Agudo got a permanent position in our group as Associate Researcher
May 2017: Our BreakingNews paper has been accepted to PAMI
March 2017: 2 papers accepted to CVPR'17 
February 2017: Received a Google Faculty Research Award