Adam Bielski

Orcid: 0000-0001-9626-3566

According to our database1, Adam Bielski authored at least 11 papers between 2018 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
MOVE: Unsupervised Movable Object Segmentation and Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Generative Adversarial Learning via Kernel Density Discrimination.
CoRR, 2021

KaFiStO: A Kalman Filtering Framework for Stochastic Optimization.
CoRR, 2021

2019
Emergence of Object Segmentation in Perturbed Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
SocialML: machine learning for social media video creators.
CoRR, 2018

Understanding Multimodal Popularity Prediction of Social Media Videos With Self-Attention.
IEEE Access, 2018

Extracting Textual Overlays from Social Media Videos Using Neural Networks.
Proceedings of the Computer Vision and Graphics - International Conference, 2018

I Know How You Feel: Emotion Recognition With Facial Landmarks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Pay Attention to Virality: Understanding Popularity of Social Media Videos With the Attention Mechanism.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Recognizing Emotions with EmotionalDAN.
Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2018


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