Zhuofan Zong

According to our database, Zhuofan Zong authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping.

Hao Shao, Shulun Wang, Yang Zhou, Guanglu Song, Dailan He, Shuo Qin, Zhuofan Zong, Bingqi Ma, Yu Liu, Hongsheng Li

CoRR, 2024

EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM.

Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li

CoRR, 2024

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models.

Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu

CoRR, 2024

Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models.

Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li

CoRR, 2024

MoVA: Adapting Mixture of Vision Experts to Multimodal Context.

Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu

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

Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning.

Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li

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

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models.

Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu

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

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching.

Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li

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

2023

RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths.

Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo

CoRR, 2023

RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths.

Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DETRs with Collaborative Hybrid Assignments Training.

Zhuofan Zong, Guanglu Song, Yu Liu

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

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction.

Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu

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

2022

Large-batch Optimization for Dense Visual Predictions.

Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo

CoRR, 2022

Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes.

Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo

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

Self-slimmed Vision Transformer.

Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection.

Zhuofan Zong, Qianggang Cao, Biao Leng

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Graph Attention Based Proposal 3D ConvNets for Action Detection.

Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020