Aojun Zhou

Incorporating Convolution Designs into Visual Transformers

Kun Yuan, Shaopeng Guo, Ziwei Liu et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 545 citations

Natural Language Processing, Pure Transformer Architectures, Multimodal Llm +15

Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

Aojun Zhou, Anbang Yao, Yiwen Guo et al. · arXiv (Cornell University) · 2017 · 491 citations · Full text

Data Augmentation, Convolutional Neural Network, Image Analysis +14

Omni-Dimensional Dynamic Convolution

Chao Li, Aojun Zhou, Anbang Yao · arXiv (Cornell University) · 2022 · 170 citations · Full text

Dynamic Convolution, Convolutional Neural Network, Engineering +16

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Peng Gao, Jiaming Han, Renrui Zhang et al. · arXiv (Cornell University) · 2023 · 117 citations · Full text

Artificial Intelligence, Llm Fine-tuning, Engineering +19

Deep Neural Network Compression With Single and Multiple Level Quantization

Yuhui Xu, Yongzhuang Wang, Aojun Zhou et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 116 citations · Full text

Multiple Level Quantization, Data Compression, Convolutional Neural Network +14