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VIsual TRAnslator: Linking perceptions and natural language descriptions

https://doi.org/10.1007/bf00849073
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Towards Model-Based Recognition of Human Movements in Image Sequences
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The performance of an incremental generation component for multi-modal dialog contributions
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Incremental Natural Language Description of Dynamic Imagery
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Incremental Syntax Generation with Tree Adjoining Grammars
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Die Interpretation des Verhaltens mehrerer Akteure in Szenenfolgen
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Extraktion von typischen und komplexen Vorgängen aus einer langen Bildfolge einer Verkehrsszene
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Recognizing intentions, interactions, and causes of plan failures
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Artificial intelligence II. Methodology, systems, applications
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FROM IMAGE SEQUENCES TO NATURAL LANGUAGE: A First Step toward Automatic Perception and Description of Motions
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Algorithmic characterization of vehicle trajectories from image sequences by motion verbs
inferredcites →https://doi.org/10.1109/roman.1994.365947openalex-snapshot
KANTRA-human-machine interaction for intelligent robots using natural language
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A Knowledge Based System for Analysis of Gated Blood Pool Studies
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Knowledge organization and its role in representation and interpretation for time‐varying data: the ALVEN system
inferredcites →https://doi.org/10.1163/9789004368811_003openalex-snapshot
Logic and Conversation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Modeling the influence of task on attention
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Understanding dynamic scenes
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Conceptual descriptions from monitoring and watching image sequences
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Learning visually grounded words and syntax for a scene description task
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Attention and the minimal subscene
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Combining NL processing and video data to query American Football
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Metric details for natural-language spatial relations
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A contribution to the ranking and description of classifications
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Multimodal and interactive models for visually grounded language learning
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