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02/25/2022
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
Knowledge graphs store a large number of factual triples while they are ...
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12/02/2021
EngineKGI: Closed-Loop Knowledge Graph Inference
Knowledge Graph (KG) inference is the vital technique to address the nat...
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06/04/2021
Entity Concept-enhanced Few-shot Relation Extraction
Few-shot relation extraction (FSRE) is of great importance in long-tail ...
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03/30/2021
Spatiotemporal Transformer for Video-based Person Re-identification
Recently, the Transformer module has been transplanted from natural lang...
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12/08/2020
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
The main difficulty of person re-identification (ReID) lies in collectin...
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10/06/2020
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference
Inference on a large-scale knowledge graph (KG) is of great importance f...
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09/25/2020
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding
Recent advances in Knowledge Graph Embed-ding (KGE) allow for representi...
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11/20/2019
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Representation learning on a knowledge graph (KG) is to embed entities a...
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10/22/2019
Recent Advances on HEVC Inter-frame Coding: From Optimization to Implementation and Beyond
High Efficiency Video Coding (HEVC) has doubled the video compression ra...
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10/15/2019
Background Segmentation for Vehicle Re-Identification
Vehicle re-identification (Re-ID) is very important in intelligent trans...
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09/24/2019
Single Camera Training for Person Re-identification
Person re-identification (ReID) aims at finding the same person in diffe...
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08/28/2019