Large language models (LLMs) have demonstrated great potential in natura...
Image harmonization is an essential step in image composition that adjus...
Painterly image harmonization aims to insert photographic objects into
p...
Video understanding has achieved great success in representation learnin...
Object placement assessment (OPA) aims to predict the rationality score ...
Image composition aims to generate realistic composite image by insertin...
The goal of Sketch-Based Image Retrieval (SBIR) is using free-hand sketc...
Embedding from Language Models (ELMo) has shown to be effective for impr...
Neural machine translation (NMT) takes deterministic sequences for sourc...
Chemical reaction practicality is the core task among all symbol intelli...
Rapidly developed neural models have achieved competitive performance in...
Character-level representations have been broadly adopted to alleviate t...
Traditional chatbots usually need a mass of human dialogue data, especia...
Multi-turn conversation understanding is a major challenge for building
...
This paper describes a hypernym discovery system for our participation i...