1.2k citations · 8.7k across the 141 of their papers we have counts for
12 papers · 1 filter
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation
Hao Li, Yizhi Zhang, Junzhe Zhu +7
Humans use all of their senses to accomplish different tasks in everyday activities. In contrast, existing work on robotic manipulation mostly relies on one, or occasionally two mo…
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider +4
This paper introduces ArtELingo, a new benchmark and dataset, designed to encourage work on diversity across languages and cultures. Following ArtEmis, a collection of 80k artworks…
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma, Rose Wang, Li Fei-Fei +2
Modern multi-agent reinforcement learning frameworks rely on centralized training and reward shaping to perform well. However, centralized training and dense rewards are not readil…
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks
Kuan Fang, Toki Migimatsu, Ajay Mandlekar +2
Solving real-world manipulation tasks requires robots to have a repertoire of skills applicable to a wide range of circumstances. When using learning-based methods to acquire such…
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms
Feifan Li, Lun Du, Qiang Fu +4
User engagement prediction plays a critical role for designing interaction strategies to grow user engagement and increase revenue in online social platforms. Through the in-depth…
Retrospectives on the Embodied AI Workshop
Matt Deitke, Dhruv Batra, Yonatan Bisk +36
We present a retrospective on the state of Embodied AI research. Our analysis focuses on 13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are grouped i…