Yulei Niu
Yulei Niu
Postdoctoral Research Scientist, Columbia University
Verified email at - Homepage
Cited by
Cited by
Unbiased scene graph generation from biased training
K Tang, Y Niu, J Huang, J Shi, H Zhang
CVPR 2020, 2020
Counterfactual VQA: A cause-effect look at language bias
Y Niu, K Tang, H Zhang, Z Lu, XS Hua, JR Wen
CVPR 2021, 2021
Grounding referring expressions in images by variational context
H Zhang, Y Niu, SF Chang
CVPR 2018, 2018
Prompt-aligned gradient for prompt tuning
B Zhu, Y Niu, Y Han, Y Wu, H Zhang
ICCV 2023, 2023
Two causal principles for improving visual dialog
J Qi*, Y Niu*, J Huang, H Zhang
CVPR 2020, 2020
Recursive visual attention in visual dialog
Y Niu, H Zhang, M Zhang, J Zhang, Z Lu, JR Wen
CVPR 2019, 2019
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
Domain-adaptive few-shot learning
A Zhao, M Ding, Z Lu, T Xiang, Y Niu, J Guan, JR Wen
WACV 2021, 2021
Introspective distillation for robust question answering
Y Niu, H Zhang
NeurIPS 2021, 2021
Lightweight Action Recognition in Compressed Videos
Y Huo, X Xu, Y Lu, Y Niu, M Ding, Z Lu, T Xiang, J Wen
ECCVW 2020, 2020
Cross-domain empirical risk minimization for unbiased long-tailed classification
B Zhu, Y Niu, XS Hua, H Zhang
AAAI 2022, 2022
Counterfactual samples synthesizing and training for robust visual question answering
L Chen, Y Zheng, Y Niu, H Zhang, J Xiao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs
K Gao, L Chen, Y Niu, J Shao, J Xiao
CVPR 2022, 2022
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
J Ma, Y Niu, J Xu, S Huang, G Han, SF Chang
CVPR 2023, 2023
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, 2019
Coarse-to-fine grained classification
Y Huo, Y Lu, Y Niu, Z Lu, JR Wen
SIGIR 2019, 2019
Respecting Transfer Gap in Knowledge Distillation
Y Niu, L Chen, C Zhou, H Zhang
NeurIPS 2022, 2022
Weakly supervised matrix factorization for noisily tagged image parsing
Y Niu, Z Lu, S Huang, P Han, JR Wen
IJCAI 2015, 2015
Explicit Image Caption Editing
Z Wang, L Chen, W Ma, G Han, Y Niu, J Shao, J Xiao
ECCV 2022, 2022
On Non-Random Missing Labels in Semi-Supervised Learning
X Hu, Y Niu, C Miao, XS Hua, H Zhang
ICLR 2022, 2022
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