Zhenxing Niu

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We present a discriminative latent topic model for scene recognition. The capacity of our model is originated from the modeling of two types of visual contexts, i.e., the category specific global spatial layout of different scene elements, and the reinforcement of the visual coherence in uniform local regions. In contrast, most previous methods for scene(More)
To address the non-stationary property of aging patterns, age estimation can be cast as an ordinal regression problem. However, the processes of extracting features and learning a regression model are often separated and optimized independently in previous work. In this paper, we propose an End-to-End learning approach to address ordinal regression problems(More)
We present a spatio-temporal energy minimization formulation for simultaneous video object discovery and co-segmentation across multiple videos containing irrelevant frames. Our approach overcomes a limitation that most existing video co-segmentation methods possess, i.e., they perform poorly when dealing with practical videos in which the target objects(More)
In this paper, we address the problem of recognizing images with weakly annotated text tags. Most previous work either cannot be applied to the scenarios where the tags are loosely related to the images, or simply take a pre-fusion at the feature level or a post-fusion at the decision level to combine the visual and textual content. Instead, we first encode(More)
Tactic analysis is an exciting and challenging problem in sport video analysis. The trajectories of ball and players convey rich tactic information, so the trajectory extraction and analysis are important for the soccer tactic analysis. Previous research on tactic analysis was generally based on finding object’s mosaic trajectory which does not capture the(More)
Most existing approaches on tactic analysis of soccer video are based on mosaic trajectory analysis, which loses much semantic information comparing to the real-world trajectory. Without effective extraction of real-world trajectory, the tactic of soccer cannot be properly represented and analyzed from the perspective of soccer professionals. In this paper,(More)
With the popularity of mobile devices and social networks, users can easily build their personalized image sets. Thus, personalized image analysis, indexing, and retrieval have become important topics in social media analysis. Because of users' diverse preferences, their personalized image sets are usually related to specific topics and show large feature(More)