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Found 9 papers, 8 papers with code
Synocene, Beyond the Anthropocene: De-Anthropocentralising Human-Nature-AI Interaction
Moreover, to delve deeper into these biases and Human-Nature-AI interaction, we conducted a real-life experiment in which participants underwent an immersive de-anthropocentric experience in a forest and subsequently engaged with ChatGPT to co-create narratives.
Behind Recommender Systems: the Geography of the ACM RecSys Community
Recommender Systems filter this information into manageable streams or feeds, adapted to our personal needs or preferences.
Use case cards: a use case reporting framework inspired by the European AI Act
"Use case cards" allows framing and contextualising use cases in an effective way, and we hope this methodology can be a useful tool for policy makers and providers for documenting use cases, assessing the risk level, adapting the different requirements and building a catalogue of existing usages of AI.
Documenting use cases in the affective computing domain using Unified Modeling Language
The study of the ethical impact of AI and the design of trustworthy systems needs the analysis of the scenarios where AI systems are used, which is related to the software engineering concept of "use case" and the "intended purpose" legal term.
Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project
DivinAI is an open and collaborative initiative promoted by the European Commission's Joint Research Centre to measure and monitor diversity indicators related to AI conferences, with special focus on gender balance, geographical representation, and presence of academia vs companies.
Rank-based verification for long-term face tracking in crowded scenes
We present a series of experiments introducing novel specialized metrics for the evaluation of long-term tracking capabilities, and publicly release a video dataset with 10 manually annotated videos and a total length of 8' 54".
Hierarchical Residual Attention Network for Single Image Super-Resolution
In order to make an efficient use of the residual features, these are hierarchically aggregated into feature banks for posterior usage at the network output.
Long-Term Face Tracking for Crowded Video-Surveillance Scenarios
In this paper, we present a long-term multi-face tracking architecture conceived for working in crowded contexts, particularly unconstrained in terms of movement and occlusions, and where the face is often the only visible part of the person.
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network
Super-resolution (SR) has achieved great success due to the development of deep convolutional neural networks (CNNs).
