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Perceiving Physical Equation by Observing Visual Scenarios
Siyu Huang, Zhi-Qi Cheng, Xi Li +3
Inferring universal laws of the environment is an important ability of human intelligence as well as a symbol of general AI. In this paper, we take a step toward this goal such tha…
Traffic Danger Recognition With Surveillance Cameras Without Training Data
Lijun Yu, Dawei Zhang, Xiangqun Chen +1
We propose a traffic danger recognition model that works with arbitrary traffic surveillance cameras to identify and predict car crashes. There are too many cameras to monitor manu…
Learning Sound Events From Webly Labeled Data
Anurag Kumar, Ankit Shah, Bhiksha Raj +1
In the last couple of years, weakly labeled learning has turned out to be an exciting approach for audio event detection. In this work, we introduce webly labeled learning for soun…
Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset
Ankit Shah, Harini Kesavamoorthy, Poorva Rane +3
Moments capture a huge part of our lives. Accurate recognition of these moments is challenging due to the diverse and complex interpretation of the moments. Action recognition refe…
Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance
Siyu Huang, Xi Li, Zhi-Qi Cheng +2
In this work, we explore the cross-scale similarity in crowd counting scenario, in which the regions of different scales often exhibit high visual similarity. This feature is unive…
Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation
Ting-Yao Hu, Xiaojun Chang, Alexander G. Hauptmann
Person re-identification aims to identify a specific person at distinct times and locations. It is challenging because of occlusion, illumination, and viewpoint change in camera vi…
RUC+CMU: System Report for Dense Captioning Events in Videos
Shizhe Chen, Yuqing Song, Yida Zhao +3
This notebook paper presents our system in the ActivityNet Dense Captioning in Video task (task 3). Temporal proposal generation and caption generation are both important to the de…
Focal Visual-Text Attention for Visual Question Answering
Junwei Liang, Lu Jiang, Liangliang Cao +2
Recent insights on language and vision with neural networks have been successfully applied to simple single-image visual question answering. However, to tackle real-life question a…
A Closer Look at Weak Label Learning for Audio Events
Ankit Shah, Anurag Kumar, Alexander G. Hauptmann +1
Audio content analysis in terms of sound events is an important research problem for a variety of applications. Recently, the development of weak labeling approaches for audio or s…
Multimodal Co-Training for Selecting Good Examples from Webly Labeled Video
Ryota Hinami, Junwei Liang, Shin'ichi Satoh +1
We tackle the problem of learning concept classifiers from videos on the web without using manually labeled data. Although metadata attached to videos (e.g., video titles, descript…
GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning
Siyu Huang, Xi Li, Zhi-Qi Cheng +2
A key problem in deep multi-attribute learning is to effectively discover the inter-attribute correlation structures. Typically, the conventional deep multi-attribute learning appr…