Search Results for author:
Found 2 papers, 2 papers with code
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
In this paper we revisit feature fusion, an old-fashioned topic, in the new context of text-to-video retrieval.
Ranked #1 on
Ad-hoc video search
on TRECVID-AVS20 (V3C1)
(using extra training data)
SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
Inspired by the initial success of previously few works in combining multiple sentence encoders, this paper takes a step forward by developing a new and general method for effectively exploiting diverse sentence encoders.
Ranked #2 on
Ad-hoc video search
on TRECVID-AVS16 (IACC.3)
(using extra training data)
