Luca Weihs
Allen Institute(US)
Publications by Year
Research Areas
Multimodal Machine Learning Applications, Human Pose and Action Recognition, Reinforcement Learning in Robotics, Bayesian Modeling and Causal Inference, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Objaverse: A Universe of Annotated 3D Objects(2023)496 cited
- → Simple but Effective: CLIP Embeddings for Embodied AI(2022)142 cited
- → ProcTHOR: Large-Scale Embodied AI Using Procedural Generation(2022)77 cited
- → Symmetric rank covariances: a generalized framework for nonparametric measures of dependence(2018)62 cited
- → AllenAct: A Framework for Embodied AI Research(2020)44 cited
- → Holodeck: Language Guided Generation of 3D Embodied AI Environments(2024)38 cited
- → Pushing it out of the Way: Interactive Visual Navigation(2021)29 cited
- → Learning to Predict Citation-Based Impact Measures(2017)27 cited
- → Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models(2025)23 cited
- → SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World(2024)20 cited