We have the following workshop papers at ICML:
- On Class Orderings for Incremental Learning,
- Disentanglement of Color and Shape Representations for Continual Learning,
And one at ECCV:
Three Continual Learning workshop papers
Posted by Joost Van de Weijer
on 15/12/2020
IJCV paper on multi-modal I2I
Posted by Joost Van de Weijer
on 20/05/2020
Yaxing’s paper on ‘Mix and match networks: cross-modal alignment for zero-pair image-to-image translation’ has been accepted for publication in IJCV.
4 papers at CVPR 2020
Four CVPR papers have been accepted:
- MineGAN: effective knowledge transfer from GANs to target domains with few images,
- Orderless Recurrent Models for Multi-label Classification,
- Semantic Drift Compensation for Class-Incremental Learning,
- Semi-supervised Learning for Few-shot Image-to-Image Translation.
and one workshop paper:
Winner VOT-RGBT:
Posted by Joost Van de Weijer
on 25/11/2019
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.
3 papers at ICCV2019
Posted by Joost Van de Weijer
on 01/10/2019
Lichao’s paper on visual tracking Learning the Model Update for Siamese Trackers and Hamed’s paper on active learning Active Learning for Deep Detection Neural Networks (github) have been accepted for ICCV. Also, David Berga has a paper with Xavier Otazu on saliency detection: SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling .
PR on fine-grained object detection
Posted by Joost Van de Weijer
on 06/05/2019
The journal of Carola on ‘Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data’ (pdf) has been accepted for publication in Pattern Recognition.
BLOG posts:
Posted by Joost Van de Weijer
on 09/04/2019
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)
CVPR 2019
Posted by Joost Van de Weijer
on 09/04/2019
Our paper on
Learning Metrics from Teachers: Compact Networks for Image Embedding has been accepted for presentation at CVPR 2019.
PAMI on learning from rankings
Posted by Joost Van de Weijer
on 19/02/2019
Xialei’s PAMI ‘Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank’ (pdf) has been accepted for publication at PAMI.
MediaEval Challenge 2018
Posted by Joost Van de Weijer
on 09/11/2018
Laura has obtained ‘distinctive mention’ in the Multimedia Satellite Task: Emergency Response for Flooding Events at MediaEval 2018.
