collaborators

8 papers

cs.RO2026

T2-z: Test-Time Optimization of Environment Latents for Robotic World Models

Chenyuan Zhou, Yining Hong, Huang Huang +9

Predicting how the world responds to an action requires more than what can be seen: robots must account for environmental factors that are neither directly observable nor explicitl…

cs.CV2026

SeeSE3: Emergence of 3D Space in Vision Features

Caroline Chen, Sayna Ebrahimi, Fedor Kitashov +4

In this paper, we ask whether vision foundation models construct representations that reflect the intrinsic properties of 3D Euclidean space. Unlike previous works that probe 3D aw…

cs.AI2026

Planning with the Views

Kangrui Wang, Linjie Li, Zhengyuan Yang +7

Can VLMs predict how each camera move changes the view, and plan many such moves ahead? We call this capability view planning, requiring (1)understanding how a single action transf…

cs.AI2026

The Art of Interrogation: Consistency Amplifies Factuality in Spatial Reasoning

Theo Uscidda, Marta Tintore Gazulla, Maks Ovsjanikov +2

Current Large Reasoning Models (LRMs) exhibit remarkable general capabilities but significantly underperform in spatial reasoning tasks. Existing approaches treat this gap as a kno…

cs.CV2026

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop

Yining Hong, Jiageng Liu, Han Yin +5

Spatial intelligence unfolds through a perception-action loop: agents act to acquire observations, and reason about how observations vary as a function of action. Rather than passi…

cs.CV2026

SceneTeract: Probing and Improving Agent-Aware Activity Reasoning in 3D Indoor Scenes

Léopold Maillard, Francis Engelmann, Tom Durand +5

Indoor 3D scenes are ultimately meant to be used: an embodied agent should be able to navigate, reach objects, and complete diverse activities. Yet whether a given scene actually s…

cs.CV2025

HouseLayout3D: A Benchmark and Training-Free Baseline for 3D Layout Estimation in the Wild

Valentin Bieri, Marie-Julie Rakotosaona, Keisuke Tateno +2

Current 3D layout estimation models are primarily trained on synthetic datasets containing simple single room or single floor environments. As a consequence, they cannot natively h…

cs.CV2025

Dynamic Reflections: Probing Video Representations with Text Alignment

Tyler Zhu, Tengda Han, Leonidas Guibas +2

The alignment of representations from different modalities has recently been shown to provide insights on the structural similarities and downstream capabilities of different encod…