Qi Dai
Qi Dai
Microsoft Research
Verified email at microsoft.com
TitleCited byYear
Trajectory-based modeling of human actions with motion reference points
YG Jiang, Q Dai, X Xue, W Liu, CW Ngo
European Conference on Computer Vision, 425-438, 2012
2072012
Fast semantic diffusion for large-scale context-based image and video annotation
YG Jiang, Q Dai, J Wang, CW Ngo, X Xue, SF Chang
IEEE Transactions on Image Processing 21 (6), 3080-3091, 2012
462012
Super fast event recognition in internet videos
YG Jiang, Q Dai, T Mei, Y Rui, SF Chang
IEEE Transactions on Multimedia 17 (8), 1174-1186, 2015
432015
Human action recognition in unconstrained videos by explicit motion modeling
YG Jiang, Q Dai, W Liu, X Xue, CW Ngo
IEEE Transactions on Image Processing 24 (11), 3781-3795, 2015
332015
Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning.
Q Dai, RW Zhao, Z Wu, X Wang, Z Gu, W Wu, YG Jiang
MediaEval, 2015
252015
Beauty is here: evaluating aesthetics in videos using multimodal features and free training data
Y Wang, Q Dai, R Feng, YG Jiang
Proceedings of the 21st ACM international conference on Multimedia, 369-372, 2013
232013
Binary optimized hashing
Q Dai, J Li, J Wang, YG Jiang
Proceedings of the 2016 ACM on Multimedia Conference, 1247-1256, 2016
192016
Fudan-NJUST at MediaEval 2014: Violent Scenes Detection Using Deep Neural Networks.
Q Dai, Z Wu, YG Jiang, X Xue, J Tang
MediaEval, 2014
142014
Fudan at MediaEval 2013: Violent Scenes Detection Using Motion Features and Part-Level Attributes.
Q Dai, J Tu, Z Shi, YG Jiang, X Xue
MediaEval, 2013
132013
A Bayesian Hashing approach and its application to face recognition
Q Dai, J Li, J Wang, Y Chen, YG Jiang
Neurocomputing 213, 5-13, 2016
72016
Challenge Huawei challenge: Fusing multimodal features with deep neural networks for Mobile Video Annotation
J Tu, Z Wu, Q Dai, YG Jiang, X Xue
Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on …, 2014
72014
The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Trajectory-based Features.
YG Jiang, Q Dai, CC Tan, X Xue, CW Ngo
MediaEval, 2012
62012
Optimal Bayesian Hashing for Efficient Face Recognition.
Q Dai, J Li, J Wang, Y Chen, YG Jiang
IJCAI, 3430-3437, 2015
22015
Recurrent Tubelet Proposal and Recognition Networks for Action Detection
D Li, Z Qiu, Q Dai, T Yao, T Mei
Proceedings of the European Conference on Computer Vision (ECCV), 303-318, 2018
12018
A fast video event recognition system and its application to video search
YG Jiang, Q Dai, Y Zheng, X Xue, J Liu, D Wang
Proceedings of the 20th ACM international conference on Multimedia, 1347-1348, 2012
12012
Deep Domain Adaptation Hashing with Adversarial Learning
F Long, T Yao, Q Dai, X Tian, J Luo, T Mei
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
2018
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Articles 1–16