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4 papers · 2 filters
Learning Action Concept Trees and Semantic Alignment Networks from Image-Description Data
Jiyang Gao, Ram Nevatia
Action classification in still images has been a popular research topic in computer vision. Labelling large scale datasets for action classification requires tremendous manual work…
Learning to Recognize Objects by Retaining other Factors of Variation
Jiaping Zhao, Chin-kai Chang, Laurent Itti
Natural images are generated under many factors, including shape, pose, illumination etc. Most existing ConvNets formulate object recognition from natural images as a single task c…
Video Summarization with Long Short-term Memory
Ke Zhang, Wei-Lun Chao, Fei Sha +1
We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots. Casting the problem as a structured prediction problem…
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong +1
Zero-shot learning (ZSL) methods have been studied in the unrealistic setting where test data are assumed to come from unseen classes only. In this paper, we advocate studying the…