Mingxing Tan
Nomor Research (Germany)(DE)
Publications by Year
Research Areas
Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Autonomous Vehicle Technology and Safety, Adversarial Robustness in Machine Learning, Parallel Computing and Optimization Techniques
Most-Cited Works
- → EfficientDet: Scalable and Efficient Object Detection(2020)8,066 cited
- → EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks(2019)5,012 cited
- → EfficientNetV2: Smaller Models and Faster Training(2021)1,120 cited
- → CoAtNet: Marrying Convolution and Attention for All Data Sizes(2021)735 cited
- → DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection(2022)493 cited
- → Adversarial Examples Improve Image Recognition(2020)458 cited
- → Searching for MobileNetV3(2019)430 cited
- → MixConv: Mixed Depthwise Convolutional Kernels(2019)295 cited
- → Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention(2021)293 cited