Mingxing Tan
31 papers · 2019–2026 · 7 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (48) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Triple Crown
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Dynamic Duo
(11)
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Keyword Champion
(2)
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Grand Slam
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Topic Evolution
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
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Research topics
Deep Learning
(21)
Computer Vision
(16)
Machine Learning
(16)
Application Areas
(11)
Analysis
(10)
Architectures
(10)
Artificial Intelligence
(9)
Domain-Specific
(9)
Core AI
(8)
Learning Types · Deep Learning
(8)
Optimization & Theory · Deep Learning
(8)
Techniques
(7)
Optimization & Theory · Machine Learning
(5)
Learning Types · Machine Learning
(4)
Models
(4)
Keywords
neural architecture search
(11)
autonomous driving
(8)
object detection
(5)
efficient computing
(5)
convolutional neural network
(5)
image classification
(5)
model scaling
(3)
model compression
(3)
model efficiency
(2)
traffic simulation
(2)
latency optimization
(2)
scene generation
(2)
transfer learning
(2)
adversarial example
(2)
3d object detection
(2)
diffusion model
(2)
multimodal learning
(2)
knowledge distillation
(2)
data augmentation
(2)
feature pyramid
(2)
Papers
Scene Reconstruction as Mapping Priors for 3D Detection
CVPR 2026
Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving
CVPR 2026
WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios
CVPR 2026
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation
CVPR 2025
SceneCrafter: Controllable Multi-View Driving Scene Editing
CVPR 2025
SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model
CVPR 2025
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
NeurIPS 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
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
ICLR 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
CoAtNet: Marrying Convolution and Attention for All Data Sizes
NeurIPS 2021
EfficientNetV2: Smaller Models and Faster Training
ICML 2021
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
CVPR 2021
MoViNets: Mobile Video Networks for Efficient Video Recognition
CVPR 2021
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention
AAAI 2021
Robust and Accurate Object Detection via Adversarial Learning
CVPR 2021
Searching for Fast Model Families on Datacenter Accelerators
CVPR 2021
Shape-Texture Debiased Neural Network Training
ICLR 2021
Adversarial Examples Improve Image Recognition
CVPR 2020
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures
ICLR 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
ECCV 2020
EfficientDet: Scalable and Efficient Object Detection
CVPR 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
ICML 2020
PyGlove: Symbolic Programming for Automated Machine Learning
NeurIPS 2020
Search to Distill: Pearls Are Everywhere but Not the Eyes
CVPR 2020
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
CVPR 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
ICML 2019
MnasNet: Platform-Aware Neural Architecture Search for Mobile
CVPR 2019
Searching for MobileNetV3
ICCV 2019