Edward Vendrow — accepted AI-conference papers

2024

INQUIRE: A Natural World Text-to-Image Retrieval Benchmark

Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel Brostow, Kate E. Jones, Oisin Mac Aodha +2

NeurIPS 2024poster

We introduce INQUIRE, a text-to-image retrieval benchmark designed to challenge multimodal vision-language models on expert-level queries. INQUIRE includes iNaturalist 2024 (iNat24), a new dataset of five million natural world images, along with 250 expert-level retrieval queries. These queries are…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2023

Agile Modeling: From Concept to Classifier in Minutes

Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol +12

ICCV 2023poster

The application of computer vision methods to nuanced, subjective concepts is growing. While crowdsourcing has served the vision community well for most objective tasks (such as labeling a "zebra"), it now falters on tasks where there is substantial subjectivity in the concept (such as identifying "…

Cited by 14 PDF ↗Scholar ↗

2023

JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking

Edward Vendrow, Duy Tho Le, Jianfei Cai, Hamid Rezatofighi

CVPR 2023poster

Autonomous robotic systems operating in human environments must understand their surroundings to make accurate and safe decisions. In crowded human scenes with close-up human-robot interaction and robot navigation, a deep understanding of surrounding people requires reasoning about human motion and…

Cited by 36 Source ↗PDF ↗Scholar ↗