Hao Dong at NeurIPS 2024

Hao's work on MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities has been accepted by hashtag#NeurIPS2024 as a π—¦π—½π—Όπ˜π—Ήπ—Άπ—΄π—΅π˜!

Do not miss the opportunity to follow Hao Dong's amazing work in the upcoming ECCV and NeurIPS conferences. Hao is a joint member of the IMOS Lab - EPFL (under supervision of Olga Fink) and Chair of Structural Mechanics and Monitoring at ETH Zurich (under supervision of Eleni Chatzi).

πŸ’‘ His work on MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities has been accepted by NeurIPS2024 as a π—¦π—½π—Όπ˜π—Ήπ—Άπ—΄π—΅π˜!

This work, in collaboration with Yue Zhao, introduces a first-of-its-kind benchmark for Multimodal OOD Detection, highlighting the significance of integrating more modalities and introducing an Agree-to-Disagree (A2D) training algorithm, inspired by the observation of the Modality Prediction Discrepancy phenomenon.

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πŸ’‘ Prior to this, you can catch him at hashtag#ECCV2024 in Milan next week presenting "Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision"

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Hao's work on Multimodal Learning and Anomaly detection is funded as part of the ETH Mobility project SENTINEL, of the ETH Mobility Initiative, administered by the Centre for Sustainable Future Mobility - ETH Zurich

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