Yulei Niu

According to our database, Yulei Niu authored at least 40 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AIPO: Improving Training Objective for Iterative Preference Optimization.

Yaojie Shen, Xinyao Wang, Yulei Niu, Ying Zhou, Lexin Tang, Libo Zhang, Fan Chen, Longyin Wen

CoRR, 2024

Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies.

Hung-Ting Su, Chun-Tong Chao, Ya-Ching Hsu, Xudong Lin, Yulei Niu, Hung-Yi Lee, Winston H. Hsu

CoRR, 2024

WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization.

Jiawei Ma, Yulei Niu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang

CoRR, 2024

SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos.

Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses.

Hung-Ting Su, Ya-Ching Hsu, Xudong Lin, Xiang Qian Shi, Yulei Niu, Han-Yuan Hsu, Hung-yi Lee, Winston H. Hsu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos.

Ali Zare, Yulei Niu, Hammad A. Ayyubi, Shih-Fu Chang

Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities.

Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Long Chen, Yulei Niu, Xudong Lin, Xuande Feng, Jaywon Koo, Sounak Ray, Shih-Fu Chang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering.

Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Prompt-aligned Gradient for Prompt Tuning.

Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering.

Hung-Ting Su, Yulei Niu, Xudong Lin, Winston H. Hsu, Shih-Fu Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection.

Jiawei Ma, Yulei Niu, Jincheng Xu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

In Defense of Structural Symbolic Representation for Video Event-Relation Prediction.

Andrew Lu, Xudong Lin, Yulei Niu, Shih-Fu Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization.

Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multimodal Event Graphs: Towards Event Centric Understanding of Multimodal World.

Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Yulei Niu, Xudong Lin, Long Chen, Jaywon Koo, Sounak Ray, Shih-Fu Chang

CoRR, 2022

Respecting Transfer Gap in Knowledge Distillation.

Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Non-Random Missing Labels in Semi-Supervised Learning.

Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Interventional Training for Out-Of-Distribution Natural Language Understanding.

Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Weakly-Supervised Temporal Article Grounding.

Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad A. Ayyubi, Heng Ji, Shih-Fu Chang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges.

Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Explicit Image Caption Editing.

Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao

Proceedings of the Computer Vision - ECCV 2022, 2022

Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs.

Kaifeng Gao, Long Chen, Yulei Niu, Jian Shao, Jun Xiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification.

Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions.

Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Domain-Adaptive Few-Shot Learning.

An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Introspective Distillation for Robust Question Answering.

Yulei Niu, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Counterfactual VQA: A Cause-Effect Look at Language Bias.

Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

COSY: COunterfactual SYntax for Cross-Lingual Understanding.

Sicheng Yu, Hao Zhang, Yulei Niu, Qianru Sun, Jing Jiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Counterfactual Variable Control for Robust and Interpretable Question Answering.

Sicheng Yu, Yulei Niu, Shuohang Wang, Jing Jiang, Qianru Sun

CoRR, 2020

Domain-Adaptive Few-Shot Learning.

An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo

CoRR, 2020

Lightweight Action Recognition in Compressed Videos.

Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu, Tao Xiang, Ji-Rong Wen

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Unbiased Scene Graph Generation From Biased Training.

Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Two Causal Principles for Improving Visual Dialog.

Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation.

Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang

IEEE Trans. Image Process., 2019

Mobile Video Action Recognition.

Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen

CoRR, 2019

Coarse-to-Fine Grained Classification.

Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Recursive Visual Attention in Visual Dialog.

Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Grounding Referring Expressions in Images by Variational Context.

Hanwang Zhang, Yulei Niu, Shih-Fu Chang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Graph-boosted convolutional neural networks for semantic segmentation.

Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation.

Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing.

Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015