Peng-Tao Jiang

Affiliations

vivo

papers

336

total citations

papers (14)

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

CVPR 2022arXiv

157

citations

Multi-Task Dense Prediction via Mixture of Low-Rank Experts

CVPR 2024arXiv

citations

Revisiting Single Image Reflection Removal In the Wild

CVPR 2024arXiv

citations

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

CVPR 2023arXiv

citations

MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration

ICCV 2025

citations

Proxy-Bridged Game Transformer for Interactive Extreme Motion Prediction

ICCV 2025

citations

Peng-Tao Jiang

Affiliations

papers (14)

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

Multi-Task Dense Prediction via Mixture of Low-Rank Experts

Revisiting Single Image Reflection Removal In the Wild

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

Beta-Tuned Timestep Diffusion Model

Personalized Image Semantic Segmentation

Learning Adaptive Lighting via Channel-Aware Guidance

Multi-Task Dense Predictions via Unleashing the Power of Diffusion

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity

Improving Adversarial Energy-Based Model via Diffusion Process

Traffic Scene Parsing through the TSP6K Dataset

SDMatte: Grafting Diffusion Models for Interactive Matting

MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration

Proxy-Bridged Game Transformer for Interactive Extreme Motion Prediction

papers (14)

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

Multi-Task Dense Prediction via Mixture of Low-Rank Experts

Revisiting Single Image Reflection Removal In the Wild

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

Beta-Tuned Timestep Diffusion Model

Personalized Image Semantic Segmentation

Learning Adaptive Lighting via Channel-Aware Guidance

Multi-Task Dense Predictions via Unleashing the Power of Diffusion

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity

Improving Adversarial Energy-Based Model via Diffusion Process

Traffic Scene Parsing through the TSP6K Dataset

SDMatte: Grafting Diffusion Models for Interactive Matting

MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration

Proxy-Bridged Game Transformer for Interactive Extreme Motion Prediction