Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Pascal (unit), Convolutional neural network, Convolution (computer science), and Redundancy (engineering).
Reactive oxygen species‐induced SIAH1 promotes granulosa cells' senescence in premature ovarian failure
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
PnP-DETR: Towards Efficient Visual Analysis with Transformers
Rethinking Bottleneck Structure for Efficient Mobile Network Design
Gcluster: a simple-to-use tool for visualizing and comparing genome contexts for numerous genomes
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution
Graph-Based Global Reasoning Networks
NF-κB-driven miR-34a impairs Treg/Th17 balance via targeting Foxp3
Dynamic Feature Fusion for Semantic Edge Detection
Multi-fiber Networks for Video Recognition
Dual Path Networks
arXiv (Cornell University) 2017cited by 210position: first
Self-Supervised Neural Aggregation Networks for Human Parsing
STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation
Learning to segment with image-level annotations