A review on the dynamics of social recommender systems

J Shokeen, C Rana - International Journal of Web …, 2018 - inderscienceonline.com
With the excessive growth of data over internet, it has become difficult to select relevant
items and information. Recommender systems are the essential tools to handle the …

Cross-modal material perception for novel objects: A deep adversarial learning method

W Zheng, H Liu, B Wang, F Sun - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To more actively perform fine manipulation tasks in the real world, intelligent robots should
be able to understand and communicate the physical attributes of the material during …

Aligned attention for common multimodal embeddings

S Sah, S Gopalakishnan… - Journal of Electronic …, 2020 - spiedigitallibrary.org
Deep learning has been attributed to incredible advances in computer vision, natural
language processing, and general pattern understanding. Recent discoveries have enabled …

Investigation of acoustic and visual features for frog call classification

J Xie, M Towsey, J Zhang, P Roe - Journal of Signal Processing Systems, 2020 - Springer
Rapid decreases in frog populations have been spotted worldwide, which are regarded as
one of the most critical threats to the global biodiversity. Recent advances in acoustic …

Multi-lingual tagging for digital images

R Tambi, P Aggarwal, A Kale - US Patent 11,645,478, 2023 - Google Patents
a digital image can be provided to a computer-implemented model (also referred to as
“tagging models” that examines the underlying pixels, discovers relevant features to detect …

[图书][B] Multi-modal deep learning to understand vision and language

S Sah - 2018 - search.proquest.com
Developing intelligent agents that can perceive and understand the rich visual world around
us has been a long-standing goal in the field of artificial intelligence. In the last few years …

[图书][B] Vector Spaces for Multiple Modal Embeddings

S Gopalakrishnan - 2019 - search.proquest.com
Deep learning has enabled great advances in the field of natural language processing,
computer vision and pattern recognition in general. Deep learning frameworks have been …

[引用][C] 基于深度学习的跨模态检索综述

尹奇跃, 黄岩, 张俊格, 吴书, 王亮 - 2021 - 中国图象图形学报

Guest Editorial: Knowledge-Based Multimedia Computing

L Li, Z Huang, ZJ Zha, S Jiang - Multimedia Tools and Applications, 2017 - Springer
The rapid advances in multimedia technology have resulted in a proliferation of multimedia
data on the Internet. This is reflected in the success of the social networks, such as …

Multi Stage Common Vector Space for Multimodal Embeddings

S Gopalakrishnan, P Udaiyar, S Sah… - 2019 IEEE Applied …, 2019 - ieeexplore.ieee.org
Deep learning frameworks have proven to be very effective at tasks like classification,
segmentation, detection, and translation. Before being processed by a deep learning model …