Di Hu

According to our database, Di Hu authored at least 70 papers between 2016 and 2025.

Collaborative distances:

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

2025

On-the-Fly Modulation for Balanced Multimodal Learning.

Yake Wei, Di Hu, Henghui Du, Ji-Rong Wen

IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

2024

Geometric-inspired graph-based Incomplete Multi-view Clustering.

Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu

Pattern Recognit., March, 2024

Towards accurate knowledge transfer via target-awareness representation disentanglement.

Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou

Mach. Learn., February, 2024

KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance.

Jingxian Lu, Wenke Xia, Dong Wang, Zhigang Wang, Bin Zhao, Di Hu, Xuelong Li

CoRR, 2024

Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation.

Ruoxuan Feng, Di Hu, Wenke Ma, Xuelong Li

CoRR, 2024

Towards Effective and Efficient Continual Pre-training of Large Language Models.

Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen

CoRR, 2024

YuLan: An Open-source Large Language Model.

Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen

CoRR, 2024

Multimodal Fusion on Low-quality Data: A Comprehensive Survey.

Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang

CoRR, 2024

Learning Manipulation by Predicting Interaction.

Jia Zeng, Qingwen Bu, Bangjun Wang, Wenke Xia, Li Chen, Hao Dong, Haoming Song, Dong Wang, Di Hu, Ping Luo, Heming Cui, Bin Zhao, Xuelong Li, Yu Qiao, Hongyang Li

Proceedings of the Robotics: Science and Systems XX, 2024

Enhancing Modality Representation and Alignment for Multimodal Cold-start Active Learning.

Meng Shen, Yake Wei, Jianxiong (Terry) Yin, Deepu Rajan, Di Hu, Simon See

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Unveiling and Mitigating Bias in Audio Visual Segmentation.

Peiwen Sun, Honggang Zhang, Di Hu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Boosting Audio Visual Question Answering via Key Semantic-Aware Cues.

Guangyao Li, Henghui Du, Di Hu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Depth Helps: Improving Pre-trained RGB-based Policy with Depth Information Injection.

Xincheng Pang, Wenke Xia, Zhigang Wang, Bin Zhao, Di Hu, Dong Wang, Xuelong Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs.

Wenke Xia, Dong Wang, Xincheng Pang, Zhigang Wang, Bin Zhao, Di Hu, Xuelong Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance.

Yake Wei, Di Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Quantifying and Enhancing Multi-modal Robustness with Modality Preference.

Zequn Yang, Yake Wei, Ce Liang, Di Hu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Diagnosing and Re-learning for Balanced Multimodal Learning.

Yake Wei, Siwei Li, Ruoxuan Feng, Di Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes.

Yaoting Wang, Peiwen Sun, Dongzhan Zhou, Guangyao Li, Honggang Zhang, Di Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

Can Textual Semantics Mitigate Sounding Object Segmentation Preference?

Yaoting Wang, Peiwen Sun, Yuanchao Li, Honggang Zhang, Di Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation.

Juncheng Ma, Peiwen Sun, Yaoting Wang, Di Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Multimodal Cooperation via Sample-Level Modality Valuation.

Yake Wei, Ruoxuan Feng, Zihe Wang, Di Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer.

Yaoting Wang, Weisong Liu, Guangyao Li, Jian Ding, Di Hu, Xi Li

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

2023

Self-supervised audiovisual representation learning for remote sensing data.

Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu

Int. J. Appl. Earth Obs. Geoinformation, February, 2023

Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis.

Di Hu, Zheng Wang, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Multim., 2023

Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs.

Wenke Xia, Dong Wang, Xincheng Pang, Zhigang Wang, Bin Zhao, Di Hu

CoRR, 2023

Enhancing Multi-modal Cooperation via Fine-grained Modality Valuation.

Yake Wei, Ruoxuan Feng, Zihe Wang, Di Hu

CoRR, 2023

Towards Long Form Audio-visual Video Understanding.

Wenxuan Hou, Guangyao Li, Yapeng Tian, Di Hu

CoRR, 2023

Robust Cross-Modal Knowledge Distillation for Unconstrained Videos.

Wenke Xia, Xingjian Li, Andong Deng, Haoyi Xiong, Dejing Dou, Di Hu

CoRR, 2023

Balanced Audiovisual Dataset for Imbalance Analysis.

Wenke Xia, Xu Zhao, Xincheng Pang, Changqing Zhang, Di Hu

CoRR, 2023

Revisiting Pre-training in Audio-Visual Learning.

Ruoxuan Feng, Wenke Xia, Di Hu

CoRR, 2023

TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat.

Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu

CoRR, 2023

SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance.

Xinchi Zhou, Dongzhan Zhou, Wanli Ouyang, Hang Zhou, Di Hu

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

Exploiting Visual Context Semantics for Sound Source Localization.

Xinchi Zhou, Dongzhan Zhou, Di Hu, Hang Zhou, Wanli Ouyang

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

TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World.

Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Progressive Spatio-temporal Perception for Audio-Visual Question Answering.

Guangyao Li, Wenxuan Hou, Di Hu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-Scale Attention for Audio Question Answering.

Guangyao Li, Yixin Xu, Di Hu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Towards Inadequately Pre-trained Models in Transfer Learning.

Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu

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

MMCosine: Multi-Modal Cosine Loss Towards Balanced Audio-Visual Fine-Grained Learning.

Ruize Xu, Ruoxuan Feng, Shi-Xiong Zhang, Di Hu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Class-Aware Sounding Objects Localization via Audiovisual Correspondence.

Di Hu, Yake Wei, Rui Qian, Weiyao Lin, Ruihua Song, Ji-Rong Wen

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning in Audio-visual Context: A Review, Analysis, and New Perspective.

Yake Wei, Di Hu, Yapeng Tian, Xuelong Li

CoRR, 2022

SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance.

Xinchi Zhou, Dongzhan Zhou, Wanli Ouyang, Hang Zhou, Ziwei Liu, Di Hu

CoRR, 2022

Inadequately Pre-trained Models are Better Feature Extractors.

Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou

CoRR, 2022

Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction.

Yingzi Fan, Longfei Han, Yue Zhang, Lechao Cheng, Chen Xia, Di Hu

Proceedings of the HCMA@MM 2022: Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis, 2022

Balanced Multimodal Learning via On-the-fly Gradient Modulation.

Xiaokang Peng, Yake Wei, Andong Deng, Dong Wang, Di Hu

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

Learning to Answer Questions in Dynamic Audio-Visual Scenarios.

Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, Di Hu

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

SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation.

Dongzhan Zhou, Xinchi Zhou, Di Hu, Hang Zhou, Lei Bai, Ziwei Liu, Wanli Ouyang

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

Visual Sound Localization in the Wild by Cross-Modal Interference Erasing.

Xian Liu, Rui Qian, Hang Zhou, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou

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

2021

Generalising combinatorial discriminant analysis through conditioning truncated Rayleigh flow.

Sijia Yang, Haoyi Xiong, Di Hu, Kaibo Xu, Licheng Wang, Peizhen Zhu, Zeyi Sun

Knowl. Inf. Syst., 2021

Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation.

Yapeng Tian, Di Hu, Chenliang Xu

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

Unsupervised Multi-Source Domain Adaptation for Person Re-Identification.

Zechen Bai, Zhigang Wang, Jian Wang, Di Hu, Errui Ding

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

Temporal Relational Modeling with Self-Supervision for Action Segmentation.

Dong Wang, Di Hu, Xingjian Li, Dejing Dou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement.

Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou

CoRR, 2020

Cross-Task Transfer for Multimodal Aerial Scene Recognition.

Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou

CoRR, 2020

Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions.

Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu

CoRR, 2020

Curriculum Audiovisual Learning.

Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou

CoRR, 2020

Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching.

Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, Dejing Dou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multiple Sound Sources Localization from Coarse to Fine.

Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition.

Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep Binary Reconstruction for Cross-Modal Hashing.

Di Hu, Feiping Nie, Xuelong Li

IEEE Trans. Multim., 2019

Discrete Spectral Hashing for Efficient Similarity Retrieval.

Di Hu, Feiping Nie, Xuelong Li

IEEE Trans. Image Process., 2019

Dense Multimodal Fusion for Hierarchically Joint Representation.

Di Hu, Chengze Wang, Feiping Nie, Xuelong Li

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Multimodal Clustering for Unsupervised Audiovisual Learning.

Di Hu, Feiping Nie, Xuelong Li

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

Listen to the Image.

Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang

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

2018

Dense Multimodal Fusion for Hierarchically Joint Representation.

Di Hu, Feiping Nie, Xuelong Li

CoRR, 2018

Deep LDA Hashing.

Di Hu, Feiping Nie, Xuelong Li

CoRR, 2018

Deep Co-Clustering for Unsupervised Audiovisual Learning.

Di Hu, Feiping Nie, Xuelong Li

CoRR, 2018

2017

Image2song: Song Retrieval via Bridging Image Content and Lyric Words.

Xuelong Li, Di Hu, Xiaoqiang Lu

Proceedings of the IEEE International Conference on Computer Vision, 2017

Large Graph Hashing with Spectral Rotation.

Xuelong Li, Di Hu, Feiping Nie

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

2016

Multimodal Learning via Exploring Deep Semantic Similarity.

Di Hu, Xiaoqiang Lu, Xuelong Li

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Temporal Multimodal Learning in Audiovisual Speech Recognition.

Di Hu, Xuelong Li, Xiaoqiang Lu

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016