Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Helmets Labeling Crops: Kenya Crop Type Dataset Created via Helmet-Mounted Cameras and Deep Learning

Published in Scientific Data, 2025

A data descriptor introducing a novel crop type dataset collected using helmet-mounted cameras and labeled using deep learning methods to support agricultural research in Kenya.

Recommended citation: Nakalembe, C., Zvonkov, I., Kerner, H., Frimpong, D., Mwangi, K., Kioko, J., Tokas, B., Jawanjal, K., Smith, I., Paliyam, A., & others (2025). Helmets Labeling Crops: Kenya Crop Type Dataset Created via Helmet-Mounted Cameras and Deep Learning. Scientific Data, 12(1), 1496.
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HEVC based tampered video database development for forensic investigation

Published in Multimedia Tools and Applications, 2023

A dataset and analysis pipeline for tampered HEVC-encoded videos to support forensic investigation and benchmarking.

Recommended citation: Singla, N., Singh, J., Nagpal, S., & Tokas, B. (2023). HEVC based tampered video database development for forensic investigation. Multimedia Tools and Applications, 1–34.
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Conference Papers

DPA: A one-stop metric to measure bias amplification in classification datasets

Published in NeurIPS, 2025

Most ML datasets today contain biases. When we train models on these datasets, they often not only learn these biases but can worsen them — a phenomenon known as bias amplification. We propose a better metric to measure bias amplification.

Recommended citation: TBA
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Classification Drives Geographic Bias in Street Scene Segmentation

Published in CVPR, 2025

An analysis showing how classification decisions contribute to geographic biases in street scene segmentation models and recommendations to mitigate them.

Recommended citation: Nair, R., Tokas, B., Tseng, G., Rolf, E., & Kerner, H. (2025). Classification Drives Geographic Bias in Street Scene Segmentation. In Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 629–638).
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Bhanu Tokas