Existing text-based person retrieval datasets often have relatively coarse-grained text
annotations. This hinders the model to comprehend the fine-grained semantics of query …

Person retrieval video using natural language description (NLD) is an emerging research
area and depends largely on dataset diversity. Unifying datasets increases overall quality; …

In this work, an efficient pedestrian attribute recognition system is introduced. The system is
based on a novel processing pipeline that combines the best-performing attribute extraction …