Jianfeng Lu

papers

1,956

total citations

papers (19)

A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions

NEURIPS 2020arXiv

citations

Deep Equilibrium Based Neural Operators for Steady-State PDEs

NEURIPS 2023arXiv

citations

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis

AAAI 2024arXiv

citations

DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback

CVPR 2023arXiv

citations

Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction

ECCV 2022arXiv

citations

Multi-Label Test-Time Adaptation with Bound Entropy Minimization

ICLR 2025arXiv

citations

Robust Single Image Reflection Removal Against Adversarial Attacks

CVPR 2023

citations

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning

AAAI 2025arXiv

citations

Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network

ECCV 2020

citations

Fast Adaptation for Human Pose Estimation via Meta-Optimization

CVPR 2024

citations

MoML: Online Meta Adaptation for 3D Human Motion Prediction

CVPR 2024

citations

FedCross: Intertemporal Federated Learning Under Evolutionary Games

AAAI 2025arXiv

citations

Test-time Personalizable Forecasting of 3D Human Poses

ICCV 2023

citations

Consistency Posterior Sampling for Diverse Image Synthesis

CVPR 2025

citations

Jianfeng Lu

papers (19)

MPNet: Masked and Permuted Pre-training for Language Understanding

Convergence for score-based generative modeling with polynomial complexity

The probability flow ODE is provably fast

On the Representation of Solutions to Elliptic PDEs in Barron Spaces

Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization

A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions

Deep Equilibrium Based Neural Operators for Steady-State PDEs

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis

DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback

Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction

Multi-Label Test-Time Adaptation with Bound Entropy Minimization

Robust Single Image Reflection Removal Against Adversarial Attacks

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning

Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network

Fast Adaptation for Human Pose Estimation via Meta-Optimization

MoML: Online Meta Adaptation for 3D Human Motion Prediction

FedCross: Intertemporal Federated Learning Under Evolutionary Games

Test-time Personalizable Forecasting of 3D Human Poses

Consistency Posterior Sampling for Diverse Image Synthesis

papers (19)

MPNet: Masked and Permuted Pre-training for Language Understanding

Convergence for score-based generative modeling with polynomial complexity

The probability flow ODE is provably fast

On the Representation of Solutions to Elliptic PDEs in Barron Spaces

Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization

A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions

Deep Equilibrium Based Neural Operators for Steady-State PDEs

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis

DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback

Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction

Multi-Label Test-Time Adaptation with Bound Entropy Minimization

Robust Single Image Reflection Removal Against Adversarial Attacks

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning

Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network

Fast Adaptation for Human Pose Estimation via Meta-Optimization

MoML: Online Meta Adaptation for 3D Human Motion Prediction

FedCross: Intertemporal Federated Learning Under Evolutionary Games

Test-time Personalizable Forecasting of 3D Human Poses

Consistency Posterior Sampling for Diverse Image Synthesis