5 citations · 7 across the 8 of their papers we have counts for
9 papers
Uncertainty-Aware Crossmodal Fusion for Classification of Animal Behavior
Ehsan Yaghoubi, Florian Haselbeck
Artificial intelligence offers substantial potential for acoustic monitoring of animals, from welfare assessment in precision livestock farming to wildlife conservation and ecologi…
Deep learning-based hierarchical insect classification using camera trap imagery
Zaki Mahfoud, Juan A. Chiavassa, Simon Walther +2
Declining insect populations make reliable biodiversity monitoring increasingly urgent, yet monitoring of insect biodiversity is hampered by a lack of standardised data and by cost…
Select High-Level Features: Efficient Experts from a Hierarchical Classification Network
André Kelm, Niels Hannemann, Bruno Heberle +5
This study introduces a novel expert generation method that dynamically reduces task and computational complexity without compromising predictive performance. It is based on a new…
High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention
André Peter Kelm, Niels Hannemann, Bruno Heberle +5
This paper introduces a novel network topology that seamlessly integrates dynamic inference cost with a top-down attention mechanism, addressing two significant gaps in traditional…
A Symbolic Temporal Pooling method for Video-based Person Re-Identification
S V Aruna Kumar, Ehsan Yaghoubi, Hugo Proença
In video-based person re-identification, both the spatial and temporal features are known to provide orthogonal cues to effective representations. Such representations are currentl…
The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices
S. V. Aruna Kumar, Ehsan Yaghoubi, Abhijit Das +2
Over the last decades, the world has been witnessing growing threats to the security in urban spaces, which has augmented the relevance given to visual surveillance solutions able…