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Ning Zhang
Ning Zhang
Research Scientist, Facebook Inc.
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Decaf: A deep convolutional activation feature for generic visual recognition
J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell
International conference on machine learning, 647-655, 2014
52292014
Deep domain confusion: Maximizing for domain invariance
E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell
arXiv preprint arXiv:1412.3474, 2014
20202014
Part-based R-CNNs for fine-grained category detection
N Zhang, J Donahue, R Girshick, T Darrell
Computer Vision–ECCV 2014, 2014
11812014
Compact bilinear pooling
Y Gao, O Beijbom, N Zhang, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
8012016
PANDA: Pose Aligned Networks for Deep Attribute Modeling
N Zhang, M Paluri, MA Ranzato, T Darrell, L Bourdev
CVPR 2014 and arXiv preprint arXiv:1311.5591, 2013
5742013
Do Convnets Learn Correspondence
J Long, N Zhang, T Darrell
NIPS 2014, 2014
3532014
Deep reinforcement learning-based image captioning with embedding reward
Z Ren, X Wang, N Zhang, X Lv, LJ Li
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3272017
Deformable Part Descriptors for Fine-grained Recognition and Attribute Prediction
N Zhang, R Farrell, F Iandola, T Darrell
International Conference on Computer Vision, ICCV, 2013
2762013
Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance
R Farrell, O Oza, N Zhang, VI Morariu, T Darrell, LS Davis
2011 International Conference on Computer Vision, 161-168, 2011
2662011
Beyond frontal faces: Improving person recognition using multiple cues
N Zhang, M Paluri, Y Taigman, R Fergus, L Bourdev
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1782015
Pose pooling kernels for sub-category recognition
N Zhang, R Farrell, T Darrell
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
1722012
Multi-view to novel view: Synthesizing novel views with self-learned confidence
SH Sun, M Huh, YH Liao, N Zhang, JJ Lim
Proceedings of the European Conference on Computer Vision (ECCV), 155-171, 2018
1022018
Visual attention model for name tagging in multimodal social media
D Lu, L Neves, V Carvalho, N Zhang, H Ji
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
832018
Open-vocabulary object retrieval
S Guadarrama, R Erik, K Saenko, N Zhang, R Farrell, J Donahue, ...
RSS 2014, 2014
832014
Fine-grained pose prediction, normalization, and recognition
N Zhang, E Shelhamer, Y Gao, T Darrell
arXiv preprint arXiv:1511.07063, 2015
762015
DeCAF: a deep convolutional activation feature for generic visual recognition (2013)
J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell
arXiv preprint arXiv:1310.1531, 2013
562013
Deep domain confusion: Maximizing for domain invariance. arXiv 2014
E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell
arXiv preprint arXiv:1412.3474, 0
53
Neural network for object detection in images
W Han, J Yang, N Zhang, J Li
US Patent 10,346,723, 2019
352019
Dynamic kernel distillation for efficient pose estimation in videos
X Nie, Y Li, L Luo, N Zhang, J Feng
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
342019
A collaborative filtering tag recommendation system based on graph
Y Zhang, N Zhang, J Tang
ECML PKDD discovery challenge, 2009
332009
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