← Authors

Mingxing Tan

28 papers · 2019–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (47) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘‘ Triple Crown ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (115) πŸ’Ž Century Club (28)

Conferences

CVPR (13) ECCV (4) ICLR (3) ICML (3) NIPS (3) AAAI (1) ICCV (1)

Top co-authors

Dragomir Anguelov (8) Quoc V. Le (8) Ruoming Pang (5) Zhaoqi Leng (5) Hanxiao Liu (4) Quoc Le (4) Bo Chen (3) Chiyu Max Jiang (3) Cihang Xie (3) Xiaodan Song (3)

Keywords

neural architecture search (10) object detection (5) autonomous driving (5) efficient computing (5) image classification (5) convolutional neural network (4) model scaling (3) model compression (3) mobile computing (2) model efficiency (2) feature pyramid (2) latency optimization (2) transfer learning (2) scene generation (2) knowledge distillation (2) traffic simulation (2) adversarial example (2) model robustness (1) vision transformer (1) hyperparameter optimization (1)

Papers

SceneCrafter: Controllable Multi-View Driving Scene Editing CVPR 2025
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation CVPR 2025
SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model CVPR 2025
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout NIPS 2024
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection CVPR 2022
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds ECCV 2022
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds ECCV 2022
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds ECCV 2022
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions ICLR 2022
EfficientNetV2: Smaller Models and Faster Training ICML 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes NIPS 2021
NystrΓΆmformer: A NystrΓΆm-based Algorithm for Approximating Self-Attention AAAI 2021
Robust and Accurate Object Detection via Adversarial Learning CVPR 2021
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators CVPR 2021
Searching for Fast Model Families on Datacenter Accelerators CVPR 2021
MoViNets: Mobile Video Networks for Efficient Video Recognition CVPR 2021
Shape-Texture Debiased Neural Network Training ICLR 2021
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization CVPR 2020
EfficientDet: Scalable and Efficient Object Detection CVPR 2020
Search to Distill: Pearls Are Everywhere but Not the Eyes CVPR 2020
Adversarial Examples Improve Image Recognition CVPR 2020
PyGlove: Symbolic Programming for Automated Machine Learning NIPS 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models ECCV 2020
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures ICLR 2020
Searching for MobileNetV3 ICCV 2019
MnasNet: Platform-Aware Neural Architecture Search for Mobile CVPR 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML 2019