activity
20152026
most citedScaling Egocentric Vision: The EPIC-KITCHENS Dataset

283 citations · 470 across the 84 of their papers we have counts for

collaborators

98 papers

cs.CV2026

KilometerVision: A New Frontier for Large-Scale Spatial Intelligence in VLMs

Aravindh Mahendran, Michael King, Matthew Koichi Grimes +12

We push the frontier of large-scale spatial intelligence in Vision-Language Models (VLMs) and introduce the first benchmark that probes geographical layout understanding from real-…

cs.CV2026

Whareformer: Learning to Track What is Where in Long Egocentric Videos

Jacob Chalk, Saptarshi Sinha, Dima Damen +2

The recently established 'Out of Sight, Not out of Mind' (OSNOM) task for egocentric videos focuses on tracking objects that are moved by the camera wearer, online, maintaining kno…

cs.CV2026

Do Egocentric Video-Language Models Capture Both Hand- and Object-Centric Cues?

Masatoshi Tateno, Alexandros Stergiou, Risa Shinoda +2

Hand-object interaction (HOI) recognition requires capturing both hand manipulations and object transformations. However, existing video-language models often fall into shortcuts b…

cs.CV2026

Towards in-the-wild Egocentric 3D Hand-Object Pose Estimation

Siddhant Bansal, Zhifan Zhu, Shashank Tripathi +3

Estimating accurate 3D hand-object pose from in-the-wild egocentric RGB remains challenging due to severe occlusions and ambiguous contact. Existing learning-based methods often st…

cs.CV2026

Gen2Balance: Generative Balancing for Long-Tailed Video Action Recognition

Prajwal Gatti, Simon Jenni, Fabian Caba Heilbron +1

We address the problem of training on long-tailed data for video action recognition. We propose to augment the training set using a text-to-video generative model, conditioned on d…

cs.CV2026

Improving and Evaluating Hand-Object Interaction Detection

Ahmad Darkhalil, Dima Damen, David Fouhey

Understanding hands and the objects they interact with, both directly and through tools, is a key step for tasks ranging from action perception to 3D reconstruction and robotics. O…