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@affctivai

Affective Artificial Intelligence(AFFCTIV) Lab. @Inha University

Open source codes and papers published by AFFCTIV

Affective Artificial Intelligence (AFFCTIV) Lab, Inha University

AFFCTIV actively engages in numerous creative projects, consistently producing high-quality research without compromise. We are inclusive and welcome individuals from all backgrounds to share in our work by accessing open-source codes. Furthermore, we embrace flexibility toward new ideas and shifts in focus.

AFFCTIV's motto, or lab values, is "Pokemon." We utilize this motto to encapsulate our core values and what we prioritize.

  • Pride. We take pride in our accomplishments and the methods by which we achieve them.
  • Objectivity. We uphold scientific rigor, clarity, and reproducibility without taking shortcuts.
  • Knowledge. We continually expand our knowledge and skills, transcending the boundaries of our existing expertise.
  • Equality. We recognize the equal value of every individual.
  • Mentorship. We consider the mutual benefits of mentorship relationships as primary responsibilities, both giving and receiving graciously.
  • Openness. We are open to all individuals and embrace new ideas and shifts in focus.
  • Network. We foster personal connections among ourselves, collaborators, and the broader public.

We recognize that our values represent ideals. While we acknowledge our imperfections, we are committed to growing and embodying these values. We aspire to become the ideal Pokémon.

If you resonate with our philosophy and are intrigued by our accomplishments, we invite you to explore our open positions. Our lab enthusiastically welcomes applicants from diverse backgrounds, including all races, ethnicities, religions, national origins, eligible age groups, and disability statuses. Additionally, we are dedicated to fostering a collaborative and supportive environment within our lab.

Popular repositories Loading

  1. CCMTL CCMTL Public

    Convolutional Channel Modulator for Transformer and LSTM Networks in EEG-based Emotion Recognition

    Python 8

  2. RecSal-Net RecSal-Net Public

    RecSal-Net: Recursive Saliency Network for Video Saliency Prediction

    Python 5

  3. ConTL ConTL Public

    Cascading global and sequential temporal representations with local context modeling for EEG-based emotion recognition

    Python 1

  4. coglier coglier Public

    Detecting Concept Shifts under Different Levels of Self-awareness on Emotion Labeling

    Python 1 2

  5. MOR MOR Public

    Multi-Output Regression for Integrated Prediction of Valence and Arousal in EEG-Based Emotion Recognition

    Jupyter Notebook 1 1

  6. .github .github Public

Repositories

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