Wei Wei

papers

1,625

total citations

papers (25)

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

CVPR 2024arXiv

citations

Semi-Implicit Denoising Diffusion Models (SIDDMs)

NEURIPS 2023arXiv

citations

Glocal Energy-Based Learning for Few-Shot Open-Set Recognition

CVPR 2023arXiv

citations

Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think

CVPR 2025arXiv

citations

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models

ICML 2024arXiv

citations

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data

AAAI 2025arXiv

citations

Detection-Based Intermediate Supervision for Visual Question Answering

AAAI 2024arXiv

citations

Dynamic Uncertainty Estimation for Offline Reinforcement Learning

AAAI 2025

citations

Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning

ECCV 2022

citations

Revisiting Prototypical Network for Cross Domain Few-Shot Learning

CVPR 2023

citations

Low-Biased General Annotated Dataset Generation

CVPR 2025arXiv

citations

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting

ICML 2024

citations

Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering

AAAI 2025

citations

Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution

CVPR 2020

citations

Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization

NEURIPS 2020

citations

Differentiable Top-k with Optimal Transport

NEURIPS 2020

citations

Co-Painter: Fine-Grained Controllable Image Stylization via Implicit Decoupling and Adaptive Injection

ICCV 2025

citations

RhythmGuassian: Repurposing Generalizable Gaussian Model For Remote Physiological Measurement

ICCV 2025

citations

Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning

ICCV 2025

citations

Editing Memories Through Few Targeted Neurons

AAAI 2025

citations

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

AAAI 2025

citations

FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition

ICCV 2021

citations

Wei Wei

papers (25)

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Semi-Implicit Denoising Diffusion Models (SIDDMs)

Glocal Energy-Based Learning for Few-Shot Open-Set Recognition

Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data

Detection-Based Intermediate Supervision for Visual Question Answering

Dynamic Uncertainty Estimation for Offline Reinforcement Learning

Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning

Revisiting Prototypical Network for Cross Domain Few-Shot Learning

Low-Biased General Annotated Dataset Generation

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting

Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering

Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution

Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization

Differentiable Top-k with Optimal Transport

Co-Painter: Fine-Grained Controllable Image Stylization via Implicit Decoupling and Adaptive Injection

RhythmGuassian: Repurposing Generalizable Gaussian Model For Remote Physiological Measurement

Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning

Editing Memories Through Few Targeted Neurons

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition

papers (25)

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Semi-Implicit Denoising Diffusion Models (SIDDMs)

Glocal Energy-Based Learning for Few-Shot Open-Set Recognition

Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data

Detection-Based Intermediate Supervision for Visual Question Answering

Dynamic Uncertainty Estimation for Offline Reinforcement Learning

Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning

Revisiting Prototypical Network for Cross Domain Few-Shot Learning

Low-Biased General Annotated Dataset Generation

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting

Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering

Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution

Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization

Differentiable Top-k with Optimal Transport

Co-Painter: Fine-Grained Controllable Image Stylization via Implicit Decoupling and Adaptive Injection

RhythmGuassian: Repurposing Generalizable Gaussian Model For Remote Physiological Measurement

Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning

Editing Memories Through Few Targeted Neurons

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition