About ME

Zhaofan Qiu (邱钊凡)

Google Scholar
zhaofanqiu@gmail.com

I am currently a Researcher in HiDream.ai - a pioneer Generative Artificial Intelligence company in China. My research interests include image/video generation, multi-modality understanding and deep architecture designs. I has authored or co-authored 50+ papers in top-notch Journals and Conferences, with about 6,000+ citations and an hindex of 26, according to Google Scholar. My works have also led to many awards, including Excellence Award of CAS Dean's Scholarship 2020 and Microsoft Research Asia Fellowship 2017.

I received B.E. and Ph.D. degrees from the University of Science and Technology of China, Hefei, China, in 2015 and 2020, respectively. My seminal work on Pseudo-3D network has become one of standard 3D convolution neural networks for spatiotemporal data analysis. I am the key architect of the top-performing multimedia analytic systems in worldwide competitions such as ActivityNet Large Scale Activity Recognition Challenge 2021 & 2019 & 2017 & 2016, Visual Domain Adaptation Challenge 2018 & 2017, and THUMOS Action Recognition Challenge 2015. I am the co-organizer of Identity-Preserving Video Generation Challenge in ACM MM 2025, Pre-training for Video Understanding Challenge in ACM MM 2021 & 2022.

News

  • HiDream-I1 is released NOW! HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer (Report). The released models include:

  • Vivago.ai: Our latest image geneation and video generation products are online at Vivago.ai.

  • I am always on the lookout for talented and passionate individuals who share an interest in multimodal large models. Whether you're a student looking for an internship or a professional seeking a full-time position, there are exciting opportunities to join our team and contribute to groundbreaking research and development in this field. If you have any questions, ideas, or topics you'd like to discuss, don't hesitate to reach out! I'm always open to academic and technical exchanges. Feel free to email me at zhaofanqiu@gmail.com ! Looking forward to hearing from you!

Selected Publications (Full List)

HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer

HiDream.ai
Technical Report, 2025

MotionPro: A Precise Motion Controller for Image-to-Video Generation

Zhongwei Zhang, Fuchen Long, Zhaofan Qiu, Yingwei Pan, Wu Liu, Ting Yao, Tao Mei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion

Jingyuan Chen, Fuchen Long, Jie An, Zhaofan Qiu, Ting Yao, Jiebo Luo, Tao Mei
AAAI Conference on Artificial Intelligence (AAAI), 2025

Freeenhance: Tuning-free image enhancement via content-consistent noising-and-denoising process

Yang Luo, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Zhineng Chen, Yu-Gang Jiang, Tao Mei
ACM Multimedia (ACM MM), 2024

VideoStudio: Generating Consistent-Content and Multi-Scene Videos

Fuchen Long, Zhaofan Qiu, Ting Yao, Tao Mei
European Conference on Computer Vision (ECCV), 2024

Learning Temporal Dynamics in Videos With Image Transformer

Yan Shu, Zhaofan Qiu, Fuchen Long, Ting Yao, Chong-Wah Ngo, Tao Mei
IEEE Transactions on Multimedia (TMM), 2024

Learning 3d shape latent for point cloud completion

Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei
IEEE Transactions on Multimedia (TMM), 2024

A closer look at the reflection formulation in single image reflection removal

Zhikai Chen, Fuchen Long, Zhaofan Qiu, Juyong Zhang, Zheng-Jun Zha, Ting Yao, Jiebo Luo
IEEE Transactions on Image Processing (TIP), 2024

Learning spatial adaptation and temporal coherence in diffusion models for video super-resolution

Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Trip: Temporal residual learning with image noise prior for image-to-video diffusion models

Zhongwei Zhang, Fuchen Long, Yingwei Pan, Zhaofan Qiu, Ting Yao, Yang Cao, Tao Mei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Spe-net: Boosting point cloud analysis via rotation robustness enhancement

Zhaofan Qiu, Yehao Li, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei
European Conference on Computer Vision (ECCV), 2022

Mlp-3d: A mlp-like 3d architecture with grouped time mixing

Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Tao Mei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Condensing a sequence to one informative frame for video recognition

Zhaofan Qiu, Ting Yao, Yan Shu, Chong-Wah Ngo, Tao Mei
IEEE International Conference on Computer Vision (ICCV), 2021

Boosting video representation learning with multi-faceted integration

Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xiao-Ping Zhang, Dong Wu, Tao Mei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Optimization Planning for 3D ConvNets

Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Tao Mei
International Conference on Machine Learning (ICML), 2021

Learning Spatio-Temporal Representation with Local and Global Diffusion

Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Learning Deep Spatio-Temporal Dependency for Semantic Video Segmentation

Zhaofan Qiu, Ting Yao, Tao Mei
IEEE Transactions on Multimedia (TMM), 2018

Deep Semantic Hashing with Generative Adversarial Networks

Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
ACM conference on Research and Development in Information Retrieval (SIGIR), 2017 (oral)

Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

Zhaofan Qiu, Ting Yao, Tao Mei
IEEE International Conference on Computer Vision (ICCV), 2017

Deep Quantization: Encoding Convolutional Activations with Deep Generative Model

Zhaofan Qiu, Ting Yao, Tao Mei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

Awards

  • Global Top 100 Chinese Rising Stars in Artificial Intelligence, Baidu, 2021

  • Excellence Award of Dean's Scholarship, Chinese Academy of Sciences, 2020

  • Microsoft Research Asia Fellowship, 2017

  • National Scholarship, 2017

  • SIGIR Student Travel Grant, 2017

  • Excellent Graduate in Anhui Province, 2015

  • Outstanding Undergraduate Thesis, 2015

  • National Scholarship, 2013