Yefei He

According to our database, Yefei He authored at least 18 papers between 2002 and 2024.

Collaborative distances:

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

2024

Binarizing by Classification: Is Soft Function Really Necessary?

Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou

IEEE Trans. Circuits Syst. Video Technol., February, 2024

DragAnything: Motion Control for Anything using Entity Representation.

Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang

CoRR, 2024

Towards Accurate Post-training Quantization for Reparameterized Models.

Luoming Zhang, Yefei He, Wen Fei, Zhenyu Lou, Weijia Wu, Yangwei Ying, Hong Zhou

CoRR, 2024

2023

Rethinking the Value of Local Feature Fusion in Convolutional Neural Networks.

Zhenyu Lou, Xin Ye, Luoming Zhang, Weijia Wu, Yefei He, Hong Zhou

Neural Process. Lett., December, 2023

Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization.

Yefei He, Luoming Zhang, Weijia Wu, Hong Zhou

Neural Process. Lett., December, 2023

Root quantization: a self-adaptive supplement STE.

Luoming Zhang, Yefei He, Zhenyu Lou, Xin Ye, Yuxing Wang, Hong Zhou

Appl. Intell., March, 2023

DSText V2: A Comprehensive Video Text Spotting Dataset for Dense and Small Text.

Weijia Wu, Yiming Zhang, Yefei He, Luoming Zhang, Zhenyu Lou, Hong Zhou, Xiang Bai

CoRR, 2023

Paragraph-to-Image Generation with Information-Enriched Diffusion Model.

Weijia Wu, Zhuang Li, Yefei He, Mike Zheng Shou, Chunhua Shen, Lele Cheng, Yan Li, Tingting Gao, Di Zhang, Zhongyuan Wang

CoRR, 2023

Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM.

Luoming Zhang, Wen Fei, Weijia Wu, Yefei He, Zhenyu Lou, Hong Zhou

CoRR, 2023

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models.

Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

CoRR, 2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models.

Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen

CoRR, 2023

PTQD: Accurate Post-Training Quantization for Diffusion Models.

Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

CoRR, 2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models.

Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen

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

PTQD: Accurate Post-Training Quantization for Diffusion Models.

Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

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

BiViT: Extremely Compressed Binary Vision Transformers.

Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

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

2022

BiViT: Extremely Compressed Binary Vision Transformer.

Yefei He, Zhenyu Lou, Luoming Zhang, Weijia Wu, Bohan Zhuang, Hong Zhou

CoRR, 2022

2017

Using smartphone technology to deliver a virtual pedestrian environment: usability and validation.

David C. Schwebel, Joan Severson, Yefei He

Virtual Real., 2017

2002

Real-Time Extendible-Resolution Display of On-line Dynamic Terrain.

Yefei He, James F. Cremer, Yiannis E. Papelis

Proceedings of the Graphics Interface 2002 Conference, 2002