Regular papers accepted for oral or poster presentations are published in the ECCV 2024 Workshops proceedings: https://link.springer.com/book/10.1007/978-3-031-91578-9

Oral presentations

• A Biologically-inspired Approach to Biomedical Image Segmentation
  Luca Ciampi, Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi 

• Glia Cell Inspired Reinforcement Learning Agent for Neural Network Optimization
  Alessio Fagioli, Luigi Cinque, Damiano Distante, Gian Luca Foresti, Marco Cascio

• ScanDDM: Generalised Zero-Shot Neuro-Dynamical Modelling of Goal-Directed Attention
  Alessandro D'Amelio, Manuele Lucchi, Giuseppe Boccignone 

• Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG
  Manshan Guo, Bhavin Choksi, sari sadiya, Alessandro Thomas Gifford, Martina G. Vilas, Radoslaw Martin Cichy, Gemma Roig

• MOSAIC: Skeleton-based human motion recognition with compositional representations
  Federico Figari Tomenotti, Nicoletta Noceti 

• Adapting Large Language Model for Cross-Subject Semantic Decoding from Video-Stimulated fMRI
  Ruizhe Zheng, Lichao Sun 

Poster presentations

• RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images
  Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

• Human-based Low-Level Visual Processing Neural Network for Image Segmentation
  Alessio Fagioli, Luigi Cinque, Damiano Distante, Gian Luca Foresti, Marco Cascio 

• Growing Deep Neural Network Considering with Similarity between Neurons
  Taigo Sakai, Kazuhiro Hotta 

• Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning
  Achref Jaziri, Sina Ditzel, Iuliia Pliushch, Visvanathan Ramesh 

• Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation
  Kotaro Nagata, Hiromu Ono, Kazuhiro Hotta 

• What makes a face looks like a hat: Decoupling low-level and high-level Visual Properties with Image Triplets
  Maytus Piriyajitakonkij, Sirawaj Itthipuripat, Ian Ballard, Ioannis Pappas 

• Online Learning via Memory: Retrieval-Augmented Detector Adaptation
  Yanan Jian, Fuxun Yu 

• AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction
  Dongyang Xu, Wang Qingfan, Ji Ma, Zeng Xiangyun, Lei Chen 

• Accuracy Improvement of Cell Image Segmentation Using Feedback Former
  Hinako Mitsuoka, Kazuhiro Hotta 

• Variable resolution improves visual question answering under a limited pixel budget
  Andrey Gizdov, Shimon Ullman, Daniel Harari 

• A System 1 and System 2 Perspective on Continual Learning for Practical Implementation
  Vivek Chavan, Oliver Heimann, Jörg Krüger 

• Connectivity-Inspired Network for Context-Aware Recognition
  Gianluca Carloni, Sara Colantonio 

• Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli
  Valentyn Piskovskyi, Riccardo Chimisso,  Sabrina Patania, Tom Foulsham, Giuseppe Vizzari, Dimitri Ognibene 

Extended Abstracts