283 citations · 470 across the 84 of their papers we have counts for
8 papers · 2 filters
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-…
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…
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…
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…
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…
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…
Beyond Caption-Based Queries for Video Moment Retrieval
David Pujol-Perich, Albert Clapés, Dima Damen +2
In this work, we investigate the degradation of existing VMR methods, particularly of DETR architectures, when trained on caption-based queries but evaluated on search queries. For…
Perception Test 2025: Challenge Summary and a Unified VQA Extension
Joseph Heyward, Nikhil Parthasarathy, Tyler Zhu +5
The Third Perception Test challenge was organised as a full-day workshop alongside the IEEE/CVF International Conference on Computer Vision (ICCV) 2025. Its primary goal is to benc…