Javad Zolfaghari Bengar

According to our database, Javad Zolfaghari Bengar authored at least 6 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Reducing Label Effort with Deep Active Learning

Javad Zolfaghari Bengar

PhD thesis, 2022

Class-Balanced Active Learning for Image Classification.

Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Reducing Label Effort: Self-Supervised meets Active Learning.

Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

When Deep Learners Change Their Mind: Learning Dynamics for Active Learning.

Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

Saliency from High-Level Semantic Image Features.

Aymen Azaza, Joost van de Weijer, Ali Douik, Javad Zolfaghari Bengar, Marc Masana

SN Comput. Sci., 2020

2019

Temporal Coherence for Active Learning in Videos.

Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019