786 citations · 7.3k across the 175 of their papers we have counts for
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Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video
Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu +1
Abnormal event detection in video is a challenging vision problem. Most existing approaches formulate abnormal event detection as an outlier detection task, due to the scarcity of…
ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition
Federico Angelini, Zeyu Fu, Yang Long +2
We present ActionXPose, a novel 2D pose-based algorithm for posture-level Human Action Recognition (HAR). The proposed approach exploits 2D human poses provided by OpenPose detecto…
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering
Zheng Zhang, Li Liu, Jie Qin +5
How to economically cluster large-scale multi-view images is a long-standing problem in computer vision. To tackle this challenge, we introduce a novel approach named Highly-econom…
Pixel-level Semantics Guided Image Colorization
Jiaojiao Zhao, Li Liu, Cees G. M. Snoek +2
While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from the problems o…
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval
Lin Wu, Yang Wang, Ling Shao
In this paper, we propose a novel deep generative approach to cross-modal retrieval to learn hash functions in the absence of paired training samples through the cycle consistency…
Towards Universal Representation for Unseen Action Recognition
Yi Zhu, Yang Long, Yu Guan +2
Unseen Action Recognition (UAR) aims to recognise novel action categories without training examples. While previous methods focus on inner-dataset seen/unseen splits, this paper pr…
Zero-Shot Sketch-Image Hashing
Yuming Shen, Li Liu, Fumin Shen +1
Recent studies show that large-scale sketch-based image retrieval (SBIR) can be efficiently tackled by cross-modal binary representation learning methods, where Hamming distance ma…