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Claire Tang

2 accepted papers

2024

Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery

ECCV 2024poster

"Multimodal image-text contrastive learning has shown that joint representations can be learned across modalities. Here, we show how leveraging multiple views of image data with contrastive learning can improve downstream fine-grained classification performance for species recognition, even when one…

Cited by 7SourcePDFScholar
2022

BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation

CoRL 2022oral

We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an extensive survey on "what do you want robots to do for you?". The first is the definition of 1,000 everyday activities, grounded in…

Cited by 205SourceScholar