activity
20242026
most citedArticulate3D: Holistic Understanding of 3D Scenes as Universal Scene Description

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Task-Adaptive Grounded 3D-Programmers Using 2D VLMs

Arman Raayatsanati, Sombit Dey, Anna-Maria Halacheva +3

Recent vision-language models (VLMs) exhibit remarkable generalization and reasoning abilities, yet 3D understanding in these models is limited by data scale, training diversity, a…

cs.CV2025

From Scan to Action: Leveraging Realistic Scans for Embodied Scene Understanding

Anna-Maria Halacheva, Jan-Nico Zaech, Sombit Dey +2

Real-world 3D scene-level scans offer realism and can enable better real-world generalizability for downstream applications. However, challenges such as data volume, diverse annota…

cs.CV2025

GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond

Anna-Maria Halacheva, Jan-Nico Zaech, Xi Wang +2

As multimodal language models advance, their application to 3D scene understanding is a fast-growing frontier, driving the development of 3D Vision-Language Models (VLMs). Current…

cs.CV2024★ 1 cited

Articulate3D: Holistic Understanding of 3D Scenes as Universal Scene Description

Anna-Maria Halacheva, Yang Miao, Jan-Nico Zaech +3

3D scene understanding is a long-standing challenge in computer vision and a key component in enabling mixed reality, wearable computing, and embodied AI. Providing a solution to t…

cs.LG2024

Expanding Expressivity in Transformer Models with MöbiusAttention

Anna-Maria Halacheva, Mojtaba Nayyeri, Steffen Staab

Attention mechanisms and Transformer architectures have revolutionized Natural Language Processing (NLP) by enabling exceptional modeling of long-range dependencies and capturing i…