Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference. Retrieved May 24, 2026, from https://4ort.xyz/entity/fv2es-a-fully-end2end-multimodal-system-for-fast-yet-effective-video-emotion-recognition-inference
MLA“FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fv2es-a-fully-end2end-multimodal-system-for-fast-yet-effective-video-emotion-recognition-inference.
BibTeX@misc{4ortxyz_fv2es-a-fully-end2end-multimodal-system-for-fast-yet-effective-video-emotion-recognition-inference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference}}, year = {2026}, url = {https://4ort.xyz/entity/fv2es-a-fully-end2end-multimodal-system-for-fast-yet-effective-video-emotion-recognition-inference}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference — https://4ort.xyz/entity/fv2es-a-fully-end2end-multimodal-system-for-fast-yet-effective-video-emotion-recognition-inference (retrieved 2026-05-24)