Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sachin Farfade"'
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Publikováno v:
ACM Multimedia (Thematic Workshops)
Automated photo tagging has established itself as one of the most compelling applications of deep learning. While deep convolutional neural networks have repeatedly demonstrated top performance on standard datasets for classification, there are a num
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31
The boom of mobile devices and cloud services has led to an explosion of personal photo and video data. However, due to the missing user-generated metadata such as titles or descriptions, it usually takes a user a lot of swipes to find some video on
Autor:
Sachin Farfade, Lu Jiang, Alexander G. Hauptmann, Liangliang Cao, Yannis Kalantidis, Jiliang Tang
Publikováno v:
WSDM
The ubiquity of mobile devices and cloud services has led to an unprecedented growth of online personal photo and video collections. Due to the scarcity of personal media search log data, research to date has mainly focused on searching images and vi
Autor:
Vidit Jain, Sachin Farfade
Publikováno v:
ICCV
Classification cascades have been very effective for object detection. Such a cascade fails to perform well in data domains with variations in appearances that may not be captured in the training examples. This limited generalization severely restric
Publikováno v:
ISM
As mobile displays proliferate across the world, and fixed video displays expand in size, consumers demand enhanced visual experiences while watching such displays. Competitive low-end to high-end markets are migrating to high-definition (HD) output
Publikováno v:
Eighth IEEE International Symposium on Multimedia (ISM'06); 2006, p493-500, 8p
Autor:
Liang, Junwei, Jiang, Lu, Cao, Liangliang, Kalantidis, Yannis, Li, Li-Jia, Hauptmann, Alexander G.
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2019, Vol. 41 Issue 8, p1893-1908, 16p