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Katerina Fragkiadaki

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#artificial intelligence Preprint Sep 2026

TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations

TrackEverything is the first 3D tracker capable of tracking all visible points across videos exceeding 1000 frames within 40 GB of GPU memory, and 3D WAFT is proposed, replacing memory-prohibitive 4D correlation volumes with efficient feature sampling in the scene cloud.

Ayush Jain, Sreeharsha Paruchuri, Ishita Gupta et al. · 0 citations
Preprint Sep 2026

GeomVLA: Unifying Scene, Motion, and Action in 3D

We present GeomVLA, a Vision-Language-Action (VLA) model that unifies perception, latent scene motion prediction, and action generation within a shared robot-centric 3D coordinate frame. Our approach lifts pretrained VLM features into spatially grounded 3D scene tokens using depth and camera calibration, while retainin...

Zi-Yin Xiong, Nikolaos Gkanatsios, Moritz Reuss et al. · 0 citations
Preprint Aug 2026

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding

Qwen-3D is introduced, a geometry-aware LMM that compresses visual information within the Qwen backbone using multi-view geometric cues, enabling efficient long-horizon visual reasoning over static scenes and incorporates a query-based segmentation decoder that grounds language directly in the underlying 3D scene repre...

Lucy Lin, Ayush Jain, Yifan Liu et al. · 3 citations

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