Mingxing Tan

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

Achievements

+9 more ↓

🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (11)

🐝 Cross-Pollinator (11) 🗺️ Taxonomy Completionist (47) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🏆 Grand Slam 👑 Triple Crown ⚡ Prolific Year (8) 🗃️ Keyword Collector (115) 💎 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 Nyströmformer: A Nyström-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