18 citations · 50 across the 7 of their papers we have counts for
7 papers
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction
Yatao Zhong, Bicheng Xu, Guang-Tong Zhou +2
Numerous powerful point process models have been developed to understand temporal patterns in sequential data from fields such as health-care, electronic commerce, social networks,…
Structured Label Inference for Visual Understanding
Nelson Nauata, Hexiang Hu, Guang-Tong Zhou +3
Visual data such as images and videos contain a rich source of structured semantic labels as well as a wide range of interacting components. Visual content could be assigned with f…
LabelBank: Revisiting Global Perspectives for Semantic Segmentation
Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou +2
Semantic segmentation requires a detailed labeling of image pixels by object category. Information derived from local image patches is necessary to describe the detailed shape of i…
Recalling Holistic Information for Semantic Segmentation
Hexiang Hu, Zhiwei Deng, Guang-tong Zhou +2
Semantic segmentation requires a detailed labeling of image pixels by object category. Information derived from local image patches is necessary to describe the detailed shape of i…
Learning Structured Inference Neural Networks with Label Relations
Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng +2
Images of scenes have various objects as well as abundant attributes, and diverse levels of visual categorization are possible. A natural image could be assigned with fine-grained…
Discovering Human Interactions in Videos with Limited Data Labeling
Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou +4
We present a novel approach for discovering human interactions in videos. Activity understanding techniques usually require a large number of labeled examples, which are not availa…
Hierarchical Maximum-Margin Clustering
Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt +2
We present a hierarchical maximum-margin clustering method for unsupervised data analysis. Our method extends beyond flat maximum-margin clustering, and performs clustering recursi…