Scene Understanding

Efficient Multi-Task Learning (EMTAL) transforms pre-trained Vision Transformers into efficient multi-task learners by using a MoEfied LoRA structure, a Quality Retaining optimization, and a router fa…

AI models struggle to understand 3D space like humans do. This paper introduces Multiview Scene Graphs (MSGs) – a new topological scene representation using interconnected place and object nodes buil…

Lexicon3D: a first comprehensive study probing diverse visual foundation models for superior 3D scene understanding, revealing that unsupervised image models outperform others across various tasks.

DIFFUSIONHOI: A novel HOI detector using text-to-image diffusion models to improve compositional reasoning and handling of novel concepts, achieving state-of-the-art performance.

DiffSF boosts scene flow estimation accuracy and reliability by cleverly combining transformer networks with denoising diffusion models, offering state-of-the-art results and uncertainty quantificatio…

CYCLO: A novel cyclic graph transformer excels at multi-object relationship modeling in aerial videos.

Coherent 3D scenes are diffused from a single RGB image using a novel image-conditioned 3D scene diffusion model, surpassing state-of-the-art methods.