Jifeng Dai
Jifeng Dai
Executive Research Director, SenseTime Research
Bestätigte E-Mail-Adresse bei sensetime.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
R-FCN: Object Detection via Region-based Fully Convolutional Networks
J Dai, Y Li, K He, J Sun
Neural Information Processing Systems (NIPS), 2016
30852016
Deformable Convolutional Networks
J Dai, H Qi, Y Xiong, Y Li, G Zhang, H Hu, Y Wei
Computer Vision (ICCV), 2017 IEEE International Conference on, 2017
12782017
Instance-aware Semantic Segmentation via Multi-task Network Cascades
J Dai, K He, J Sun
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016
8922016
Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
J Dai, K He, J Sun
Computer Vision (ICCV), 2015 IEEE International Conference on, 2015
5582015
Fully Convolutional Instance-aware Semantic Segmentation
Y Li, H Qi, J Dai, X Ji, Y Wei
Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017
5512017
Convolutional feature masking for joint object and stuff segmentation
J Dai, K He, J Sun
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 2015
3672015
Relation networks for object detection
H Hu, J Gu, Z Zhang, J Dai, Y Wei
Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018
3652018
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
D Lin, J Dai, J Jia, K He, J Sun
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016
3472016
Instance-sensitive fully convolutional networks
J Dai, K He, Y Li, S Ren, J Sun
European Conference on Computer Vision (ECCV), 2016
2902016
Deformable convnets v2: More deformable, better results
X Zhu, H Hu, S Lin, J Dai
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2462019
Flow-Guided Feature Aggregation for Video Object Detection
X Zhu, Y Wang, J Dai, L Yuan, Y Wei
Computer Vision (ICCV), 2017 IEEE International Conference on, 2017
2272017
Mmdetection: Open mmlab detection toolbox and benchmark
K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ...
arXiv preprint arXiv:1906.07155, 2019
2232019
Deep Feature Flow for Video Recognition
X Zhu, Y Xiong, J Dai, L Yuan, Y Wei
Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017
2222017
Multifeature-based high-resolution palmprint recognition
J Dai, J Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (5), 945-957, 2010
1622010
Robust and efficient ridge-based palmprint matching
J Dai, J Feng, J Zhou
IEEE transactions on pattern analysis and machine intelligence 34 (8), 1618-1632, 2011
1272011
Vl-bert: Pre-training of generic visual-linguistic representations
W Su, X Zhu, Y Cao, B Li, L Lu, F Wei, J Dai
The International Conference on Learning Representations (ICLR), 2020
1062020
Towards high performance video object detection
X Zhu, J Dai, L Yuan, Y Wei
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
832018
Cosegmentation and cosketch by unsupervised learning
J Dai, Y Wu, J Zhou, SC Zhu
Proceedings of the IEEE International Conference on Computer Vision, 1305-1312, 2013
762013
Generative Modeling of Convolutional Neural Networks
J Dai, L Yang, YN Wu
International Conference on Learning Representations (ICLR), 2015, 2015
562015
An empirical study of spatial attention mechanisms in deep networks
X Zhu, D Cheng, Z Zhang, S Lin, J Dai
International Conference on Computer Vision (ICCV), 2019
322019
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