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10/17/2022
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation
Scene graph is structured semantic representation that can be modeled as...
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04/22/2022
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering
Knowledge-based visual question answering (QA) aims to answer a question...
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10/08/2021
Toward a Human-Level Video Understanding Intelligence
We aim to develop an AI agent that can watch video clips and have a conv...
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07/21/2021
CogME: A Novel Evaluation Metric for Video Understanding Intelligence
Developing video understanding intelligence is quite challenging because...
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05/07/2020
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
Despite recent progress on computer vision and natural language processi...
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01/17/2020
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data
Conventional sequential learning methods such as Recurrent Neural Networ...
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07/03/2019
Compositional Structure Learning for Sequential Video Data
Conventional sequential learning methods such as Recurrent Neural Networ...
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04/01/2019
Constructing Hierarchical Q A Datasets for Video Story Understanding
Video understanding is emerging as a new paradigm for studying human-lik...
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01/20/2019
Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies
While conventional methods for sequential learning focus on interaction ...
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02/12/2018
