Dim P. Papadopoulos

Orcid: 0000-0002-5278-2273

According to our database1, Dim P. Papadopoulos authored at least 21 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Latent Directions: A Simple Pathway to Bias Mitigation in Generative AI.
CoRR, 2024

Visual Context-Aware Person Fall Detection.
CoRR, 2024

CrashCar101: Procedural Generation for Damage Assessment.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Learning the What and How of Annotation in Video Object Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

2022
Learning Program Representations for Food Images and Cooking Recipes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Scaling up instance annotation via label propagation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Detecting Natural Disasters, Damage, and Incidents in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Programmable Crossbar Quantum-Dot Cellular Automata Circuits.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

Extreme Clicking for Efficient Object Annotation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Training Object Class Detectors with Click Supervision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Biomimicry of Crowd Evacuation with a Slime Mould Cellular Automaton Model.
Proceedings of the Computational Intelligence, Medicine and Biology - Selected Links, 2015

Cellular automaton model of crowd evacuation inspired by slime mould.
Int. J. Gen. Syst., 2015

2014
Hey Physarum! Can you Perform SLAM?
Int. J. Unconv. Comput., 2014

Training Object Class Detectors from Eye Tracking Data.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Automatic summarization and annotation of videos with lack of metadata information.
Expert Syst. Appl., 2013

2011
Video Summarization Using a Self-Growing and Self-Organized Neural Gas Network.
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2011

2010
DUTH Does Probabilities of Relevance at the Legal Track.
Proceedings of The Nineteenth Text REtrieval Conference, 2010


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