4 papers
Compositional Video Synthesis by Temporal Object-Centric Learning
Adil Kaan Akan, Yucel Yemez
We present a novel framework for compositional video synthesis that leverages temporally consistent object-centric representations, extending our previous work, SlotAdapt, from ima…
Dynamical phases of short-term memory mechanisms in RNNs
Bariscan Kurtkaya, Fatih Dinc, Mert Yuksekgonul +7
Short-term memory is essential for cognitive processing, yet our understanding of its neural mechanisms remains unclear. Neuroscience has long focused on how sequential activity pa…
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
Can Küçüksözen, Yücel Yemez
We propose the Compact Clustering Attention (COCA) layer, an effective building block that introduces a hierarchical strategy for object-centric representation learning, while solv…
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
Adil Kaan Akan, Yucel Yemez
We present SlotAdapt, an object-centric learning method that combines slot attention with pretrained diffusion models by introducing adapters for slot-based conditioning. Our metho…