8 citations · 23 across the 16 of their papers we have counts for
9 papers · 1 filter
REALM: A Real-to-Sim Validated Benchmark for Generalization in Robotic Manipulation
Martin Sedlacek, Pavlo Yefanov, Georgy Ponimatkin +7
Vision-Language-Action (VLA) models empower robots to understand and execute tasks described by natural language instructions. However, a key challenge lies in their ability to gen…
AlignPose: Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment
Anna Šárová Mikeštíková, Médéric Fourmy, Martin Cífka +2
Single-view RGB model-based object pose estimation methods achieve strong generalization but are fundamentally limited by depth ambiguity, clutter, and occlusions. Multi-view pose…
ResidualViT for Efficient Temporally Dense Video Encoding
Mattia Soldan, Fabian Caba Heilbron, Bernard Ghanem +2
Several video understanding tasks, such as natural language temporal video grounding, temporal activity localization, and audio description generation, require "temporally dense" r…
EditDuet: A Multi-Agent System for Video Non-Linear Editing
Marcelo Sandoval-Castaneda, Bryan Russell, Josef Sivic +2
Automated tools for video editing and assembly have applications ranging from filmmaking and advertisement to content creation for social media. Previous video editing work has mai…
Discovering Divergent Representations between Text-to-Image Models
Lisa Dunlap, Joseph E. Gonzalez, Trevor Darrell +3
In this paper, we investigate when and how visual representations learned by two different generative models diverge. Given two text-to-image models, our goal is to discover visual…
Improving Personalized Search with Regularized Low-Rank Parameter Updates
Fiona Ryan, Josef Sivic, Fabian Caba Heilbron +3
Personalized vision-language retrieval seeks to recognize new concepts (e.g. "my dog Fido") from only a few examples. This task is challenging because it requires not only learning…
Multi-step manipulation task and motion planning guided by video demonstration
Kateryna Zorina, David Kovar, Mederic Fourmy +5
This work aims to leverage instructional video to solve complex multi-step task-and-motion planning tasks in robotics. Towards this goal, we propose an extension of the well-establ…
PhysPose: Refining 6D Object Poses with Physical Constraints
Martin Malenický, Martin Cífka, Médéric Fourmy +4
Accurate 6D object pose estimation from images is a key problem in object-centric scene understanding, enabling applications in robotics, augmented reality, and scene reconstructio…
6D Object Pose Tracking in Internet Videos for Robotic Manipulation
Georgy Ponimatkin, Martin Cífka, Tomáš Souček +4
We seek to extract a temporally consistent 6D pose trajectory of a manipulated object from an Internet instructional video. This is a challenging set-up for current 6D pose estimat…