Jason Kuen
Jason Kuen
Adobe Research
Verified email at adobe.com - Homepage
Title
Cited by
Cited by
Year
Recent Advances in Convolutional Neural Networks
J Gu, Z Wang, J Kuen, L Ma, A Shahroudy, B Shuai, T Liu, X Wang, ...
Pattern Recognition 77, 354-377, 2018
8462018
Recurrent Attentional Networks for Saliency Detection
J Kuen, Z Wang, G Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1592016
Dual attention matching network for context-aware feature sequence based person re-identification
J Si, H Zhang, CG Li, J Kuen, X Kong, AC Kot, G Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
144*2018
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle
J Kuen, KM Lim, CP Lee
Pattern Recognition 48 (10), 2964-2982, 2015
432015
Motion-guided cascaded refinement network for video object segmentation
P Hu, G Wang, X Kong, J Kuen, YP Tan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
252018
DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
J Kuen, X Kong, G Wang, YP Tan
Computer Vision Workshop (ICCVW), 2017 IEEE International Conference on, 958-966, 2017
7*2017
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
J Kuen, X Kong, Z Lin, G Wang, J Yin, S See, YP Tan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
5*2018
Utilizing a deep neural network-based model to identify visually similar digital images based on user-selected visual attributes
Z Lin, S Xiaohui, M Ling, J Zhang, J Kuen, B Butterfield
US Patent App. 15/983,949, 2019
2019
Deep learning for visual recognition at pixel, object, and image levels
JWY Kuen
2019
Scaling Object Detection by Transferring Classification Weights
J Kuen, F Perazzi, Z Lin, J Zhang, YP Tan
Proceedings of the IEEE International Conference on Computer Vision, 6044-6053, 2019
2019
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Articles 1–10