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Jason Kuen
Jason Kuen
Adobe Research
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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
33932018
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
4352018
Recurrent Attentional Networks for Saliency Detection
J Kuen, Z Wang, G Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2622016
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
912018
Multimodal Contrastive Training for Visual Representation Learning
X Yuan, Z Lin, J Kuen, J Zhang, Y Wang, M Maire, A Kale, B Faieta
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
632021
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
562015
SelfDoc: Self-Supervised Document Representation Learning
P Li, J Gu, J Kuen, VI Morariu, H Zhao, R Jain, V Manjunatha, H Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
352021
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
23*2017
Multi-Scale Aligned Distillation for Low-Resolution Detection
L Qi, J Kuen, J Gu, Z Lin, Y Wang, Y Chen, Y Li, J Jia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
202021
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
20*2018
Self-supervised relationship probing
J Gu, J Kuen, S Joty, J Cai, V Morariu, H Zhao, T Sun
Advances in Neural Information Processing Systems 33, 1841-1853, 2020
162020
Open-world entity segmentation
L Qi, J Kuen, Y Wang, J Gu, H Zhao, Z Lin, P Torr, J Jia
arXiv preprint arXiv:2107.14228, 2021
142021
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 10,628,708, 2020
142020
Scaling object detection by transferring classification weights
J Kuen, F Perazzi, Z Lin, J Zhang, YP Tan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
142019
Unidoc: Unified pretraining framework for document understanding
J Gu, J Kuen, VI Morariu, H Zhao, R Jain, N Barmpalios, A Nenkova, ...
Advances in Neural Information Processing Systems 34, 39-50, 2021
10*2021
Object Detection In Images
Z Lin, S Xiaohui, M Ling, J Zhang, JWY Kuen
US Patent App. 16/189,805, 2020
72020
Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling
D Huynh, J Kuen, Z Lin, J Gu, E Elhamifar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
62022
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation
L Qi, J Kuen, Z Lin, J Gu, F Rao, D Li, W Guo, Z Wen, MH Yang, J Jia
European Conference on Computer Vision, 59-77, 2022
32022
Robust training of large-scale object detectors with a noisy dataset
Z Lin, M Ling, J Zhang, J Kuen, F Perazzi, B Butterfield, B Faieta
US Patent 11,126,890, 2021
32021
Meta spatio-temporal debiasing for video scene graph generation
L Xu, H Qu, J Kuen, J Gu, J Liu
European Conference on Computer Vision, 374-390, 2022
22022
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