collaborators

6 papers

cs.CV2026

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models

Olaf Dünkel, Basavaraj Sunagad, Haoran Wang +3

Measuring structured object understanding in vision foundation models remains challenging due to inconsistent evaluation protocols and limited part-level supervision. Semantic corr…

cs.CL2026

Semantic Motion Anchors: Bridging Motion and Meaning in Co-Speech Gestures

Varsha Suresh, Mohammad Mahdi Abootorabi, Mohamed Salman +5

Learning a shared representation between spoken text and gesture is central to co-speech gesture retrieval, synthesis, and understanding, but remains challenging for semantically m…

cs.CV2026

FunRec: Reconstructing Functional 3D Scenes from Egocentric Interaction Videos

Alexandros Delitzas, Chenyangguang Zhang, Alexey Gavryushin +8

We present FunRec, a method for reconstructing functional 3D digital twins of indoor scenes directly from egocentric RGB-D interaction videos. Unlike existing methods on articulate…

cs.CV2026

Grasp in Gaussians: Fast Monocular Reconstruction of Dynamic Hand-Object Interactions

Ayce Idil Aytekin, Xu Chen, Zhengyang Shen +4

We present Grasp in Gaussians (GraG), a fast and robust method for reconstructing dynamic 3D hand-object interactions from a single monocular video. Unlike recent approaches that o…

cs.CV2026

E-3DPSM: A State Machine for Event-Based Egocentric 3D Human Pose Estimation

Mayur Deshmukh, Hiroyasu Akada, Helge Rhodin +2

Event cameras offer multiple advantages in monocular egocentric 3D human pose estimation from head-mounted devices, such as millisecond temporal resolution, high dynamic range, and…

cs.GR2026

Non-Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Aleksei Zhuravlev, Lennart Bastian, Dongliang Cao +12

Estimating correspondences between deformed shape instances is a long-standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling,…