Search Results for author:
Found 5 papers, 5 papers with code
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)
Dual Encoding for Video Retrieval by Text
In this paper we achieve this by proposing a dual deep encoding network that encodes videos and queries into powerful dense representations of their own.
Ranked #3 on
Ad-hoc video search
on TRECVID-AVS16 (IACC.3)
(using extra training data)
Feature Re-Learning with Data Augmentation for Video Relevance Prediction
Predicting the relevance between two given videos with respect to their visual content is a key component for content-based video recommendation and retrieval.
Dual Encoding for Zero-Example Video Retrieval
This paper attacks the challenging problem of zero-example video retrieval.
COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval
This paper contributes to cross-lingual image annotation and retrieval in terms of data and baseline methods.
