10 Result(s)
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Chapter and Conference Paper
AutoLoc: Weakly-Supervised Temporal Action Localization in Untrimmed Videos
Temporal Action Localization (TAL) in untrimmed video is important for many applications. But it is very expensive to annotate the segment-level ground truth (action class and temporal boundary). This raises t...
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Chapter and Conference Paper
Online Detection of Action Start in Untrimmed, Streaming Videos
We aim to tackle a novel task in action detection - Online Detection of Action Start (ODAS) in untrimmed, streaming videos. The goal of ODAS is to detect the start of an action instance, with high categorizati...
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Article
Special issue on concept detection with big data
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Chapter and Conference Paper
Discriminative Indexing for Probabilistic Image Patch Priors
Newly emerged probabilistic image patch priors, such as Expected Patch Log-Likelihood (EPLL), have shown excellent performance on image restoration tasks, especially deconvolution, due to its rich expressivene...
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Chapter and Conference Paper
From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields
The recent advances of low-cost and mobile depth sensors dramatically extend the potential of 3D shape retrieval and analysis. While the traditional research of 3D retrieval mainly focused on searching by a ro...
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Chapter and Conference Paper
Recognizing Complex Events in Videos by Learning Key Static-Dynamic Evidences
Complex events consist of various human interactions with different objects in diverse environments. The evidences needed to recognize events may occur in short time periods with variable lengths and can happe...
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Article
High-level event recognition in unconstrained videos
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 unconstrained conditi...
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Chapter and Conference Paper
Accelerated Large Scale Optimization by Concomitant Hashing
Traditional locality-sensitive hashing (LSH) techniques aim to tackle the curse of explosive data scale by guaranteeing that similar samples are projected onto proximal hash buckets. Despite the success of LSH...
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Chapter and Conference Paper
Scene Aligned Pooling for Complex Video Recognition
Real-world videos often contain dynamic backgrounds and evolving people activities, especially for those web videos generated by users in unconstrained scenarios. This paper proposes a new visual representatio...
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Chapter and Conference Paper
Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines
The scarcity of labeled training data relative to the high-dimensionality multi-modal features is one of the major obstacles for semantic concept classification of images and videos. Semi-supervised learning l...
