Qidong Huang

According to our database, Qidong Huang authored at least 24 papers between 2021 and 2025.

Collaborative distances:

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

2025

Multi-scale count-task guided feature enhancement face detection.

Ziyang Wu, Yin Lin, Qidong Huang, Wengang Zhou, Houqiang Li

Multim. Syst., October, 2025

ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing.

Long Xing, Qidong Huang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Jinsong Li, Shuangrui Ding, Weiming Zhang, Nenghai Yu, Jiaqi Wang, Feng Wu, Dahua Lin

CoRR, June, 2025

Light-A-Video: Training-free Video Relighting via Progressive Light Fusion.

Yujie Zhou, Jiazi Bu, Pengyang Ling, Pan Zhang, Tong Wu, Qidong Huang, Jinsong Li, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Anyi Rao, Jiaqi Wang, Li Niu

CoRR, February, 2025

Efficient Fine-tuning Strategies for Enhancing Face Recognition Performance in Challenging Scenarios.

Yin Lin, Ziyang Wu, Qidong Huang, Xinran Liu, Baocai Yin, Jinshui Hu, Bing Yin, Zengfu Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Conical Visual Concentration for Efficient Large Vision-Language Models.

Long Xing, Qidong Huang, Xiaoyi Dong, Jiajie Lu, Pan Zhang, Yuhang Zang, Yuhang Cao, Conghui He, Jiaqi Wang, Feng Wu, Dahua Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.

Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition.

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, Kui Zhang, Gang Hua, Yueqiang Cheng, Nenghai Yu

IEEE Trans. Image Process., 2024

PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction.

Long Xing, Qidong Huang, Xiaoyi Dong, Jiajie Lu, Pan Zhang, Yuhang Zang, Yuhang Cao, Conghui He, Jiaqi Wang, Feng Wu, Dahua Lin

CoRR, 2024

Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate.

Qidong Huang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Jiaqi Wang, Dahua Lin, Weiming Zhang, Nenghai Yu

CoRR, 2024

SimAC: A Simple Anti-Customization Method for Protecting Face Privacy Against Text-to-Image Synthesis of Diffusion Models.

Feifei Wang, Zhentao Tan, Tianyi Wei, Yue Wu, Qidong Huang

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

OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation.

Qidong Huang, Xiaoyi Dong, Pan Zhang, Bin Wang, Conghui He, Jiaqi Wang, Dahua Lin, Weiming Zhang, Nenghai Yu

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

2023

SimAC: A Simple Anti-Customization Method against Text-to-Image Synthesis of Diffusion Models.

Feifei Wang, Zhentao Tan, Tianyi Wei, Yue Wu, Qidong Huang

CoRR, 2023

Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion.

Kui Zhang, Hang Zhou, Jie Zhang, Qidong Huang, Weiming Zhang, Nenghai Yu

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

A survey of gradient normalization adversarial attack methods.

Jun Chen, Qidong Huang, Yunpeng Zhang

Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

Hierarchical Terrain Attention and Multi-Scale Rainfall Guidance for Flood Image Prediction.

Feifei Wang, Yong Wang, Bing Li, Qidong Huang, Shaoqing Chen

Proceedings of the IEEE International Conference on Image Processing, 2023

Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting.

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Yinpeng Chen, Lu Yuan, Gang Hua, Weiming Zhang, Nenghai Yu

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

Diversity-Aware Meta Visual Prompting.

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Weiming Zhang, Feifei Wang, Gang Hua, Nenghai Yu

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

2022

Poison Ink: Robust and Invisible Backdoor Attack.

Jie Zhang, Dongdong Chen, Qidong Huang, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, Nenghai Yu

IEEE Trans. Image Process., 2022

Towards Precise Flood Prediction via Hierachical Terrain Attention and Multi-Scale Rainfall Guidance.

Feifei Wang, Yong Wang, Shaoqing Chen, Bing Li, Qidong Huang

CoRR, 2022

PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition.

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, Kui Zhang, Gang Hua, Nenghai Yu

CoRR, 2022

Shape-invariant 3D Adversarial Point Clouds.

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, Nenghai Yu

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

2021

Deep Template-Based Watermarking.

Han Fang, Dongdong Chen, Qidong Huang, Jie Zhang, Zehua Ma, Weiming Zhang, Nenghai Yu

IEEE Trans. Circuits Syst. Video Technol., 2021

Poison Ink: Robust and Invisible Backdoor Attack.

Jie Zhang, Dongdong Chen, Jing Liao, Qidong Huang, Gang Hua, Weiming Zhang, Nenghai Yu

CoRR, 2021

Initiative Defense against Facial Manipulation.

Qidong Huang, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu

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