Haiwen Diao

According to our database, Haiwen Diao authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Exploring Dynamic Transformer for Efficient Object Tracking.

Jiawen Zhu, Xin Chen, Haiwen Diao, Shuai Li, Jun-Yan He, Chenyang Li, Bin Luo, Dong Wang, Huchuan Lu

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Regularizing Subspace Redundancy of Low-Rank Adaptation.

Yue Zhu, Haiwen Diao, Shang Gao, Jiazuo Yu, Jiawen Zhu, Yunzhi Zhuge, Shuai Hao, Xu Jia, Lu Zhang, Ying Zhang, Huchuan Lu

CoRR, July, 2025

End-to-End Vision Tokenizer Tuning.

Wenxuan Wang, Fan Zhang, Yufeng Cui, Haiwen Diao, Zhuoyan Luo, Huchuan Lu, Jing Liu, Xinlong Wang

CoRR, May, 2025

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models.

Haiwen Diao, Xiaotong Li, Yufeng Cui, Yueze Wang, Haoge Deng, Ting Pan, Wenxuan Wang, Huchuan Lu, Xinlong Wang

CoRR, February, 2025

Autoregressive Video Generation without Vector Quantization.

Haoge Deng, Ting Pan, Haiwen Diao, Zhengxiong Luo, Yufeng Cui, Huchuan Lu, Shiguang Shan, Yonggang Qi, Xinlong Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification.

Yue Zhu, Haiwen Diao, Shang Gao, Long Chen, Huchuan Lu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

GSSF: Generalized Structural Sparse Function for Deep Cross-Modal Metric Learning.

Haiwen Diao, Ying Zhang, Shang Gao, Jiawen Zhu, Long Chen, Huchuan Lu

IEEE Trans. Image Process., 2024

Deep Boosting Learning: A Brand-New Cooperative Approach for Image-Text Matching.

Haiwen Diao, Ying Zhang, Shang Gao, Xiang Ruan, Huchuan Lu

IEEE Trans. Image Process., 2024

LLMs Can Evolve Continually on Modality for X-Modal Reasoning.

Jiazuo Yu, Haomiao Xiong, Lu Zhang, Haiwen Diao, Yunzhi Zhuge, Lanqing Hong, Dong Wang, Huchuan Lu, You He, Long Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception.

Xiaotong Li, Fan Zhang, Haiwen Diao, Yueze Wang, Xinlong Wang, Lingyu Duan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unveiling Encoder-Free Vision-Language Models.

Haiwen Diao, Yufeng Cui, Xiaotong Li, Yueze Wang, Huchuan Lu, Xinlong Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models.

Xiaomin Li, Xu Jia, Qinghe Wang, Haiwen Diao, Mengmeng Ge, Pengxiang Li, You He, Huchuan Lu

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

SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning.

Haiwen Diao, Bo Wan, Xu Jia, Yunzhi Zhuge, Ying Zhang, Huchuan Lu, Long Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory.

Haiwen Diao, Bo Wan, Ying Zhang, Xu Jia, Huchuan Lu, Long Chen

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

2023

Plug-and-Play Regulators for Image-Text Matching.

Haiwen Diao, Ying Zhang, Wei Liu, Xiang Ruan, Huchuan Lu

IEEE Trans. Image Process., 2023

2021

Similarity Reasoning and Filtration for Image-Text Matching.

Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu

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