{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/end-to-end-audio-visual-scene-aware-dialog","title":"End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features","arxiv_id":"1806.08409","date":"2018-06-21","proceeding":null,"authors":["Chiori Hori","Huda Alamri","Jue Wang","Gordon Wichern","Takaaki Hori","Anoop Cherian","Tim K. Marks","Vincent Cartillier","Raphael Gontijo Lopes","Abhishek Das","Irfan Essa","Dhruv Batra","Devi Parikh"],"abstract":"Dialog systems need to understand dynamic visual scenes in order to have\nconversations with users about the objects and events around them. Scene-aware\ndialog systems for real-world applications could be developed by integrating\nstate-of-the-art technologies from multiple research areas, including:\nend-to-end dialog technologies, which generate system responses using models\ntrained from dialog data; visual question answering (VQA) technologies, which\nanswer questions about images using learned image features; and video\ndescription technologies, in which descriptions/captions are generated from\nvideos using multimodal information. We introduce a new dataset of dialogs\nabout videos of human behaviors. Each dialog is a typed conversation that\nconsists of a sequence of 10 question-and-answer(QA) pairs between two Amazon\nMechanical Turk (AMT) workers. In total, we collected dialogs on roughly 9,000\nvideos. Using this new dataset for Audio Visual Scene-aware dialog (AVSD), we\ntrained an end-to-end conversation model that generates responses in a dialog\nabout a video. Our experiments demonstrate that using multimodal features that\nwere developed for multimodal attention-based video description enhances the\nquality of generated dialog about dynamic scenes (videos). Our dataset, model\ncode and pretrained models will be publicly available for a new Video\nScene-Aware Dialog challenge.","url_abs":"http://arxiv.org/abs/1806.08409v2","url_pdf":"http://arxiv.org/pdf/1806.08409v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"end-to-end-audio-visual-scene-aware-dialog","repo_url":"https://github.com/dialogtekgeek/AudioVisualSceneAwareDialog","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"end-to-end-audio-visual-scene-aware-dialog","repo_url":"https://github.com/hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"video-description","task_name":"Video Description"},{"task_slug":"visual-question-answering-1","task_name":"Visual Question Answering"},{"task_slug":"visual-question-answering","task_name":"Visual Question Answering (VQA)"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1806.08409","atlas_url":"https://app.syntology.ai/?focus=1806.08409","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1806.08409"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/dialogtekgeek/AudioVisualSceneAwareDialog","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"unverified":3},"by_repo_kind":{"listed":{"samples":3,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"a8d85743d4b8f715","entry":"load","repo":"hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge","repo_kind":"listed","path":"AVSD_Baseline/Baseline/local/data_handler.py","file_url":"https://github.com/hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge/blob/HEAD/AVSD_Baseline/Baseline/local/data_handler.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a8d85743d4b8f715"}},{"code_sha256_prefix":"83b8b889613b52d2","entry":"make_batch","repo":"hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge","repo_kind":"listed","path":"AVSD_Baseline/Baseline/local/data_handler.py","file_url":"https://github.com/hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge/blob/HEAD/AVSD_Baseline/Baseline/local/data_handler.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"83b8b889613b52d2"}},{"code_sha256_prefix":"04573f83ecde5ef2","entry":"make_batch_indices","repo":"hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge","repo_kind":"listed","path":"AVSD_Baseline/Baseline/local/data_handler.py","file_url":"https://github.com/hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge/blob/HEAD/AVSD_Baseline/Baseline/local/data_handler.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"04573f83ecde5ef2"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}