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DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization
Research article (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) · cited 143× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization. Retrieved May 24, 2026, from https://4ort.xyz/entity/debug-a-dense-bottom-up-grounding-approach-for-natural-language-video-localization
MLA“DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/debug-a-dense-bottom-up-grounding-approach-for-natural-language-video-localization.
BibTeX@misc{4ortxyz_debug-a-dense-bottom-up-grounding-approach-for-natural-language-video-localization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization}}, year = {2026}, url = {https://4ort.xyz/entity/debug-a-dense-bottom-up-grounding-approach-for-natural-language-video-localization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization — https://4ort.xyz/entity/debug-a-dense-bottom-up-grounding-approach-for-natural-language-video-localization (retrieved 2026-05-24)