Two papers were accepted:
1. Endpoints Weight Fusion for Class Incremental Semantic Segmentation (pdf).
2. 3D-aware multi-class image-to-image translation with NeRFs (pdf).
And one paper in the Workshop on Continual Learning in Computer Vision (CVPRW):
1. Density Map Distillation for Incremental Object Counting (pdf).
TWO POSTDOC POSITIONS IN CONTINUAL LEARNING OF DEEP NEURAL NETWORKS FOR SUSTAINABLE AND DATA SECURE AI
We are seeking two postdocs to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona. The positions are for two years and will remain open until good candidates are found. LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on continual learning, active learning, generative models, transfer learning, and self-supervised learning.
The project focuses on research lines that explore the potential of Continual AI to address the challenges of sustainable-AI. Research lines include (but are not limited to):
HOSTING GROUP
The project is in the Learning and Machine Perception (LAMP) team at the CVC led by Joost van de Weijer. For more information on the LAMP team visit: website
CANDIDATE ’S PROFILE
The candidate should possess a PhD in computer vision or machine learning and have a strong publication record. We are looking for candidates who have publications in the top conferences CVPR, ECCV, ICCV, NIPS, ICML, or ICLR. The candidate should have a background in machine learning and deep learning. Knowledge of continual learning is desired but not mandatory. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence. The candidate is expected to supervise PhD students.
THE COMPUTER VISION CENTER
The selected candidate will work in the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer. With a strong international projection and links to the industry, the Computer Vision Centre offers an exciting environment for scientific career development. The Computer Vision Center has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favorable working environment.
RESEARCH CONTACT
If you are interested in the position, please contact Dr. Joost van de Weijer (scholar website) for more information and application (joost@cvc.uab.es)
FUNDING CONDITIONS
Living allowance of 31-36k€/year (gross salary) depending on experience.
SUBMISSION DEADLINE
The project starts December 1st 2022. The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
ORGANISATION AND LOCATION: Computer Vision Center Barcelona, Spain
WEBSITE: http://www.cvc.uab.es/lamp/
DESCRIPTION OF JOB:
We are seeking a PhD to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona. The position is for 4 years. LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on continual learning, domain adaptation, generative models, self-supervised learning, etc. The position is on an industrially sponsored project. The project is on image-to-image and image-to-video generation.
PROJECT SUPERVISOR; HOSTING GROUP
Joost van de Weijer will be the supervisor. He is the leader of the Learning and Machine Perception (LAMP) team at the CVC.
CANDIDATE ’S PROFILE
The candidate should hold a Masters degree or equivalent. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence. Prior knowledge of deep learning (Tensor Flow, Pytorch) is required.
FUNDING CONDITIONS
Living allowance of 19k€/year (gross salary).
CONTACT AND CONTACT EMAIL:
Interested applicants should email their CV (preferably with contact information of 2 references) and transcript of university course grades to Dr. Joost van de Weijer (joost@cvc.uab.es). Also, for any other inquiries please contact Joost van de Weijer.
DATES:
The position will be open until filled. The first evaluation of candidates will be July 31th. Positions should start in the new academic year (Sept, Oct) 2022.
THE COMPUTER VISION CENTER
The selected candidate will work in the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer. With a strong international projection and links to the industry, the Computer Vision Centre offers an exciting environment for scientific career development. The Computer Vision Centre has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favorable working environment.
Yaxing’s paper on Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data is accepted on ICLR 2022.
We are seeking a postdoc to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona. The position is for 18 months years (could be extended by an additional year). Applications are welcome until 15th Sept. The starting date should be October/November 2021.
PROJECT SUPERVISOR & HOSTING GROUP
Joost Van de Weijer will be the supervisor. He is the leader of the Learning and Machine Perception (LAMP) team at the CVC. LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona. The position is a sponsored industrial project with 2 postdocs and four PhD students. The subjects include lifelong learning (continual learning), generative models, reinforcement learning, and domain adaptation. For more information on the LAMP team visit:http://www.cvc.uab.es/lamp/
CANDIDATE ’S PROFILE
The candidate should possess a PhD in computer vision or machine learning, and have a strong publication record. We are looking for candidates who have publications in the top conferences CVPR, ECCV, ICCV, NIPS, ICML, or ICLR. The candidate should have a background in machine learning and deep learning. The applicants are expected to be fluent in both oral and written communication in English. We are interested in also including reinforcement learning in the project and encourage candidates with experience in this field to apply. We are looking for good team players, that demonstrate initiative and independence. The candidate is expected to supervise PhD students.
THE COMPUTER VISION CENTER
The selected candidate will work in the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to artificial intelligence and computer vision research. With a strong international projection and links to the industry, the Computer Vision Centre offers an exciting environment for scientific career development. The Computer Vision Centre has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favorable working environment.
RESEARCH CONTACT
If you are interested in the position, please contact Dr. Joost van de Weijer for more information and applications (jo…@cvc.uab.es)
FUNDING CONDITIONS
Living allowance of 30-40k€/year (gross salary) depending on experience
Two papers have been accepted for the main track: Yaxing’s paper on TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets. And Shiqi’s paper on Generalized Source-free Domain Adaptation (see project page).
Fei’s paper Slimmable compressive autoencoders for practical neural image compression has been accepted for CVPR.
Also four CVPR workshop papers have been accepted:
Lichao Zhang won the VOT-RGBT challenge this year. His work is published in the VOT 2019 workshop:
Multi-Modal Fusion for End-to-End RGB-T Tracking.
MeRGANs: generating images without forgetting (NIPS 2018 + video)
Mix and match networks (CVPR 2018)
Rotating networks to prevent catastrophic forgetting (ICPR 2018)
Deep network compression and adaptation (ICCV2017)
Learning RGB-D features for images and videos (AAAI 2017, TIP 2018)
Our paper on
Learning Metrics from Teachers: Compact Networks for Image Embedding has been accepted for presentation at CVPR 2019.
