Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks. - Adil Kaan Akan; Baran Baris Kivilcim; Emre Akbas; Sharlene D. Newman; Fatos T. Yarman-Vural (SIU, 2019)

Just Noticeable Difference for Machines to Generate Adversarial Images. - Adil Kaan Akan; Mehmet Ali Genc; Fatos T. Yarman-Vural (ICIP, 2020)

SLAMP: Stochastic Latent Appearance and Motion Prediction. - Adil Kaan Akan; Erkut Erdem; Aykut Erdem; Fatma Güney (ICCV, 2021)

StretchBEV: Stretching Future Instance Prediction Spatially and Temporally. - Adil Kaan Akan; Fatma Güney (ECCV (38), 2022)

Stochastic Video Prediction with Structure and Motion. - Adil Kaan Akan; Sadra Safadoust; Erkut Erdem; Aykut Erdem; Fatma Güney (CoRR, 2022)

Trajectory Forecasting on Temporal Graphs. - Görkay Aydemir; Adil Kaan Akan; Fatma Güney (CoRR, 2022)

Stochastic Future Prediction in Real World Driving Scenarios. - Adil Kaan Akan (CoRR, 2022)

Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation. - Adil Kaan Akan; Emre Akbas; Fatos T. Yarman-Vural (Signal Image Video Process., 2022)

ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation. - Görkay Aydemir; Adil Kaan Akan; Fatma Güney (ICCV, 2023)

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation. - Adil Kaan Akan; Yucel Yemez (ICLR, 2025)

Compositional Video Synthesis by Temporal Object-Centric Learning. - Adil Kaan Akan; Yucel Yemez (CoRR, 2025)