• Refine your search:
  • 
    Keyword:
    
    • Computer Vision and Pattern Recognition cs.CV (5)
    • FOS Computer and information sciences (5)
    • Artificial Intelligence cs.AI (1)
    • Machine Learning cs.LG (1)
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering ... Dang, Long Hoang; Le, Thao Minh; Le, Vuong. - : arXiv, 2021 BASE Show details 2 Object-Centric Representation Learning for Video Question Answering ... Dang, Long Hoang; Le, Thao Minh; Le, Vuong; Tran, Truyen. - : arXiv, 2021 Abstract: Video question answering (Video QA) presents a powerful testbed for human-like intelligent behaviors. The task demands new capabilities to integrate video processing, language understanding, binding abstract linguistic concepts to concrete visual artifacts, and deliberative reasoning over spacetime. Neural networks offer a promising approach to reach this potential through learning from examples rather than handcrafting features and rules. However, neural networks are predominantly feature-based - they map data to unstructured vectorial representation and thus can fall into the trap of exploiting shortcuts through surface statistics instead of true systematic reasoning seen in symbolic systems. To tackle this issue, we advocate for object-centric representation as a basis for constructing spatio-temporal structures from videos, essentially bridging the semantic gap between low-level pattern recognition and high-level symbolic algebra. To this end, we propose a new query-guided representation framework to ... : Accepted by IJCNN 2021 ... Keyword: Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences URL: https://arxiv.org/abs/2104.05166 https://dx.doi.org/10.48550/arxiv.2104.05166 BASE Hide details 3 Hierarchical Conditional Relation Networks for Multimodal Video Question Answering ... Le, Thao Minh; Le, Vuong; Venkatesh, Svetha. - : arXiv, 2020 BASE Show details 4 Dynamic Language Binding in Relational Visual Reasoning ... Le, Thao Minh; Le, Vuong; Venkatesh, Svetha. - : arXiv, 2020 BASE Show details 5 Hierarchical Conditional Relation Networks for Video Question Answering ... Le, Thao Minh; Le, Vuong; Venkatesh, Svetha. - : arXiv, 2020 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 5 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0