Profiting from large-scale training datasets, advances in neural architecture design and efficient inference, joint embeddings have become the dominant approach for tackling cross …
Cross-modal retrieval methods are the preferred tool to search databases for the text that best matches a query image and vice versa However, image-text retrieval models commonly …
W Hu, N Xie, L Li, X Zeng… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Video indexing and retrieval have a wide spectrum of promising applications, motivating the interest of researchers worldwide. This paper offers a tutorial and an overview of the …
This paper addresses the problem of similar image retrieval, especially in the setting of large- scale datasets with millions to billions of images. The core novel contribution is an approach …
Weakly supervised temporal sentence grounding has better scalability and practicability than fully supervised methods in real-world application scenarios. However, most of existing …
The goal of high-level event recognition is to automatically detect complex high-level events in a given video sequence. This is a difficult task especially when videos are captured under …
D Lin, S Fidler, C Kong… - Proceedings of the IEEE …, 2014 - openaccess.thecvf.com
In this paper, we tackle the problem of retrieving videos using complex natural language queries. Towards this goal, we first parse the sentential descriptions into a semantic graph …
Current state-of-the-art systems for visual content analysis require large training sets for each class of interest, and performance degrades rapidly with fewer examples. In this paper …
The thriving of video sharing services brings new challenges to video retrieval, eg the rapid growth in video duration and content diversity. Meeting such challenges calls for new …