· ai
[Paper] Pixel-Perfect Visual Geometry Estimation
Recovering clean and accurate geometry from images is essential for robotics and augmented reality. However, existing geometry foundation models still suffer se...
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- · ai
[Paper] Optimal Lower Bounds for Online Multicalibration
We prove tight lower bounds for online multicalibration, establishing an information-theoretic separation from marginal calibration. In the general setting wher...
- · ai
[Paper] Generate, Transfer, Adapt: Learning Functional Dexterous Grasping from a Single Human Demonstration
Functional grasping with dexterous robotic hands is a key capability for enabling tool use and complex manipulation, yet progress has been constrained by two pe...
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[Paper] GREx: Generalized Referring Expression Segmentation, Comprehension, and Generation
Referring Expression Segmentation (RES) and Comprehension (REC) respectively segment and detect the object described by an expression, while Referring Expressio...
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[Paper] GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
As language models become increasingly capable, users expect them to provide not only accurate responses but also behaviors aligned with diverse human preferenc...
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[Paper] RoboVIP: Multi-View Video Generation with Visual Identity Prompting Augments Robot Manipulation
The diversity, quantity, and quality of manipulation data are critical for training effective robot policies. However, due to hardware and physical setup constr...
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[Paper] Robust Reasoning as a Symmetry-Protected Topological Phase
Large language models suffer from 'hallucinations'-logical inconsistencies induced by semantic noise. We propose that current architectures operate in a 'Metric...
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[Paper] Plenoptic Video Generation
Camera-controlled generative video re-rendering methods, such as ReCamMaster, have achieved remarkable progress. However, despite their success in single-view s...
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[Paper] ObjectForesight: Predicting Future 3D Object Trajectories from Human Videos
Humans can effortlessly anticipate how objects might move or change through interaction--imagining a cup being lifted, a knife slicing, or a lid being closed. W...
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[Paper] Measuring and Fostering Peace through Machine Learning and Artificial Intelligence
We used machine learning and artificial intelligence: 1) to measure levels of peace in countries from news and social media and 2) to develop on-line tools that...
- · ai
[Paper] Learning Latent Action World Models In The Wild
Agents capable of reasoning and planning in the real world require the ability of predicting the consequences of their actions. While world models possess this ...
- · ai
[Paper] Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in Structured Temporal Data
I propose a novel framework that integrates stochastic differential equations (SDEs) with deep generative models to improve uncertainty quantification in machin...