78 citations · 80 across the 5 of their papers we have counts for
5 papers
Memory-Augmented Query Intent Understanding for Efficient Chat-based Image Retrieval
Xianke Chen, Daizong Liu, Yushuo Lou +5
Different from traditional text-to-image retrieval tasks, chat-based image retrieval allows the human-interactive system to iteratively clarify and refine user intent through multi…
Dual Learning with Dynamic Knowledge Distillation and Soft Alignment for Partially Relevant Video Retrieval
Jianfeng Dong, Lei Huang, Daizong Liu +5
Almost all previous text-to-video retrieval works ideally assume that videos are pre-trimmed with short durations containing solely text-related content. However, in practice, vide…
Audio Does Matter: Importance-Aware Multi-Granularity Fusion for Video Moment Retrieval
Junan Lin, Daizong Liu, Xianke Chen +5
Video Moment Retrieval (VMR) aims to retrieve a specific moment semantically related to the given query. To tackle this task, most existing VMR methods solely focus on the visual a…
PRVR: Partially Relevant Video Retrieval
Xianke Chen, Daizong Liu, Xun Yang +4
In current text-to-video retrieval (T2VR), videos to be retrieved have been properly trimmed so that a correspondence between the videos and ad-hoc textual queries naturally exists…
Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval
Jianfeng Dong, Yabing Wang, Xianke Chen +4
This paper aims for the task of text-to-video retrieval, where given a query in the form of a natural-language sentence, it is asked to retrieve videos which are semantically relev…