Jie Hu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Diffusion Model

Image Classification

View Independent

Top Venues

Publications

Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu
Fine-gained Zero-shot Video Sampling. CoRR (2024)
Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi
Self-Supervised Representation Learning with Meta Comprehensive Regularization. CoRR (2024)
Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu
Deformable 3D Shape Diffusion Model. CoRR (2024)
Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi
Self-Supervised Representation Learning with Meta Comprehensive Regularization. AAAI (2024)
Jie Hu, Mengze Zeng, Enhua Wu
Bag of Tricks with Quantized Convolutional Neural Networks for Image Classification. ICASSP (2023)
Jie Hu, Mengze Zeng, Enhua Wu
Bag of Tricks with Quantized Convolutional Neural Networks for image classification. CoRR (2023)
Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu
Rethinking skip connection model as a learnable Markov chain. ICLR (2023)
Dengsheng Chen, Jie Hu, Vince Junkai Tan, Xiaoming Wei, Enhua Wu
Elastic Aggregation for Federated Optimization. CVPR (2023)
Dengsheng Chen, Vince Junkai Tan, Zhilin Lu, Enhua Wu, Jie Hu
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework. CVPR Workshops (2023)
Jie Hu, Ziheng Wu, Vince Tan, Zhilin Lu, Mengze Zeng, Enhua Wu
Elastic-Link for Binarized Neural Networks. AAAI (2022)
Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang
Unifying Nonlocal Blocks for Neural Networks. ICCV (2021)
Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen
Involution: Inverting the Inherence of Convolution for Visual Recognition. CoRR (2021)
Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang
Unifying Nonlocal Blocks for Neural Networks. CoRR (2021)
Jie Hu, Ziheng Wu, Vince Tan, Zhilin Lu, Mengze Zeng, Enhua Wu
Elastic-Link for Binarized Neural Network. CoRR (2021)
Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu
Learning the Superpixel in a Non-Iterative and Lifelong Manner. CVPR (2021)
Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen
Involution: Inverting the Inherence of Convolution for Visual Recognition. CVPR (2021)
Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu
Learning the Superpixel in a Non-iterative and Lifelong Manner. CoRR (2021)
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu
Squeeze-and-Excitation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42 (8) (2020)
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. CoRR (2018)
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. NeurIPS (2018)
Jie Hu, Li Shen, Gang Sun
Squeeze-and-Excitation Networks. CVPR (2018)
Jie Hu, Li Shen, Gang Sun
Squeeze-and-Excitation Networks. CoRR (2017)
Wangjiang Zhu, Jie Hu, Gang Sun, Xudong Cao, Yu Qiao
A Key Volume Mining Deep Framework for Action Recognition. CVPR (2016)