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UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding.

, , , , , and . ACL (Findings), page 778-793. Association for Computational Linguistics, (2023)

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Graph-MLP: Node Classification without Message Passing in Graph., , , , , and . CoRR, (2021)IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models., , , , , , , and . EMNLP (Findings), page 11289-11303. Association for Computational Linguistics, (2023)Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense., , , , , and . EMNLP, page 9212-9224. Association for Computational Linguistics, (2022)UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding., , , , , and . ACL (Findings), page 778-793. Association for Computational Linguistics, (2023)Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild., , , , , , and . WACV, page 3432-3441. IEEE, (2020)Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding., , , , and . EMNLP (Findings), page 5444-5454. Association for Computational Linguistics, (2022)SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning., , , , , , , and . AAAI, page 5914-5922. AAAI Press, (2022)Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions., , , , , , , and . CoRR, (2024)Learning Visual Commonsense for Robust Scene Graph Generation., , , and . ECCV (23), volume 12368 of Lecture Notes in Computer Science, page 642-657. Springer, (2020)Autonomous vehicles for remote sample collection in difficult conditions: Enabling remote sample collection by marine biologists., , , , , , , , , and 3 other author(s). TePRA, page 1-6. IEEE, (2015)