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Yulei Niu
Yulei Niu
Postdoctoral Research Scientist, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Unbiased scene graph generation from biased training
K Tang, Y Niu, J Huang, J Shi, H Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2812020
Counterfactual vqa: A cause-effect look at language bias
Y Niu, K Tang, H Zhang, Z Lu, XS Hua, JR Wen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1372021
Grounding referring expressions in images by variational context
H Zhang, Y Niu, SF Chang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1332018
Recursive visual attention in visual dialog
Y Niu, H Zhang, M Zhang, J Zhang, Z Lu, JR Wen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
942019
Two causal principles for improving visual dialog
J Qi*, Y Niu*, J Huang, H Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
842020
Multi-modal multi-scale deep learning for large-scale image annotation
Y Niu, Z Lu, JR Wen, T Xiang, SF Chang
IEEE Transactions on Image Processing 28 (4), 1720-1731, 2019
702019
Domain-adaptive few-shot learning
A Zhao, M Ding, Z Lu, T Xiang, Y Niu, J Guan, JR Wen
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
282021
Lightweight Action Recognition in Compressed Videos
Y Huo, X Xu, Y Lu, Y Niu, M Ding, Z Lu, T Xiang, J Wen
European Conference on Computer Vision 2020 Workshop VIPriors, 2020
14*2020
Weakly supervised matrix factorization for noisily tagged image parsing
Y Niu, Z Lu, S Huang, P Han, JR Wen
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
142015
Introspective distillation for robust question answering
Y Niu, H Zhang
Advances in Neural Information Processing Systems 34, 16292-16304, 2021
92021
Variational context: Exploiting visual and textual context for grounding referring expressions
Y Niu, H Zhang, Z Lu, SF Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (1), 347-359, 2021
92021
Coarse-to-fine grained classification
Y Huo, Y Lu, Y Niu, Z Lu, JR Wen
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
92019
Counterfactual samples synthesizing and training for robust visual question answering
L Chen, Y Zheng, Y Niu, H Zhang, J Xiao
arXiv preprint arXiv:2110.01013, 2021
72021
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification
B Zhu, Y Niu, XS Hua, H Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2022
62022
Feaboost: Joint feature and label refinement for semantic segmentation
Y Niu, Z Lu, S Huang, X Gao, JR Wen
Thirty-First AAAI Conference on Artificial Intelligence, 2017
62017
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs
K Gao, L Chen, Y Niu, J Shao, J Xiao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
42022
Counterfactual variable control for robust and interpretable question answering
S Yu, Y Niu, S Wang, J Jiang, Q Sun
arXiv preprint arXiv:2010.05581, 2020
42020
Graph-boosted convolutional neural networks for semantic segmentation
G Liu, P Han, Y Niu, W Yuan, Z Lu, JR Wen
2017 International Joint Conference on Neural Networks (IJCNN), 612-618, 2017
42017
COSY: counterfactual syntax for cross-lingual understanding
S Yu, H Zhang, Y Niu, Q Sun, J Jiang
Association for Computational Linguistics (ACL), 2021
22021
Prompt-aligned Gradient for Prompt Tuning
B Zhu, Y Niu, Y Han, Y Wu, H Zhang
arXiv preprint arXiv:2205.14865, 2022
12022
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Articles 1–20