Ming Liu

papers

971

total citations

papers (22)

SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection

ECCV 2020arXiv

183

citations

Unpaired Learning of Deep Image Denoising

ECCV 2020arXiv

180

citations

Activate or Not: Learning Customized Activation

CVPR 2021arXiv

132

citations

Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders

ICCV 2023arXiv

104

citations

Deep Metric Learning for Open World Semantic Segmentation

ICCV 2021arXiv

citations

GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection

ECCV 2024arXiv

citations

Learning RAW-to-sRGB Mappings With Inaccurately Aligned Supervision

ICCV 2021arXiv

citations

Open-World Semantic Segmentation for LIDAR Point Clouds

ECCV 2022arXiv

citations

Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision

ECCV 2020arXiv

citations

MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces

ICCV 2023arXiv

citations

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition

ICCV 2023arXiv

citations

Integrating Visual Interpretation and Linguistic Reasoning for Geometric Problem Solving

ICCV 2025

citations

FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation

ICCV 2025arXiv

citations

Triad: Empowering LMM-based Anomaly Detection with Expert-guided Region-of-Interest Tokenizer and Manufacturing Process

ICCV 2025

citations

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point

NEURIPS 2020

citations

Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography

CVPR 2023

citations

AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation

ECCV 2020

citations

Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving

ECCV 2022

citations

Ming Liu

papers (22)

SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection

Unpaired Learning of Deep Image Denoising

Activate or Not: Learning Customized Activation

Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders

Deep Metric Learning for Open World Semantic Segmentation

GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection

Learning RAW-to-sRGB Mappings With Inaccurately Aligned Supervision

Open-World Semantic Segmentation for LIDAR Point Clouds

Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision

Human Guided Ground-Truth Generation for Realistic Image Super-Resolution

Self-Supervised Image Restoration with Blurry and Noisy Pairs

Effective Interplay between Sparsity and Quantization: From Theory to Practice

Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues

MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition

Integrating Visual Interpretation and Linguistic Reasoning for Geometric Problem Solving

FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation

Triad: Empowering LMM-based Anomaly Detection with Expert-guided Region-of-Interest Tokenizer and Manufacturing Process

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point

Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography

AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation

Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving

papers (22)

SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection

Unpaired Learning of Deep Image Denoising

Activate or Not: Learning Customized Activation

Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders

Deep Metric Learning for Open World Semantic Segmentation

GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection

Learning RAW-to-sRGB Mappings With Inaccurately Aligned Supervision

Open-World Semantic Segmentation for LIDAR Point Clouds

Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision

Human Guided Ground-Truth Generation for Realistic Image Super-Resolution

Self-Supervised Image Restoration with Blurry and Noisy Pairs

Effective Interplay between Sparsity and Quantization: From Theory to Practice

Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues

MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition

Integrating Visual Interpretation and Linguistic Reasoning for Geometric Problem Solving

FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation

Triad: Empowering LMM-based Anomaly Detection with Expert-guided Region-of-Interest Tokenizer and Manufacturing Process

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point

Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography

AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation

Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving