Yongming Rao

DynamicViT. [NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

DenseCLIP. [CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

GFNet. [NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

HorNet. [NeurIPS 2022] HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

CAL. [ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

PointGLR. [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds

AMixer. [ECCV 2022] AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers

raoyongming.github.io. HTML

spconv. Spatial Sparse Convolution in PyTorch

caffe-pro. Memory-efficient Caffe on Linux