6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2026★ 1 cited
Cross-modal learning for plankton recognition
Joona Kareinen, Veikka Immonen, Tuomas Eerola +5
This paper considers self-supervised cross-modal coordination as a strategy enabling utilization of multiple modalities and large volumes of unlabeled plankton data to build models…
cs.CV2025★ 6 cited
DEEMO: De-identity Multimodal Emotion Recognition and Reasoning
Deng Li, Bohao Xing, Xin Liu +3
Emotion understanding is a critical yet challenging task. Most existing approaches rely heavily on identity-sensitive information, such as facial expressions and speech, which rais…
cs.CV2025
Self-Supervised Pretraining for Fine-Grained Plankton Recognition
Joona Kareinen, Tuomas Eerola, Kaisa Kraft +3
Plankton recognition is an important computer vision problem due to plankton's essential role in ocean food webs and carbon capture, highlighting the need for species-level monitor…