5 citations · 6 across the 5 of their papers we have counts for
5 papers
Dreamweaver: Learning Compositional World Models from Pixels
Junyeob Baek, Yi-Fu Wu, Gautam Singh +1
Humans have an innate ability to decompose their perceptions of the world into objects and their attributes, such as colors, shapes, and movement patterns. This cognitive process e…
Slot State Space Models
Jindong Jiang, Fei Deng, Gautam Singh +2
Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeli…
Parallelized Spatiotemporal Binding
Gautam Singh, Yue Wang, Jiawei Yang +4
While modern best practices advocate for scalable architectures that support long-range interactions, object-centric models are yet to fully embrace these architectures. In particu…
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
Yeongbin Kim, Gautam Singh, Junyeong Park +2
Systematic compositionality, or the ability to adapt to novel situations by creating a mental model of the world using reusable pieces of knowledge, remains a significant challenge…
Object-Centric Slot Diffusion
Jindong Jiang, Fei Deng, Gautam Singh +1
The recent success of transformer-based image generative models in object-centric learning highlights the importance of powerful image generators for handling complex scenes. Howev…