Wei Wei

39

Papers

1,075

Total Citations

Papers (39)

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

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

Detection-Based Intermediate Supervision for Visual Question Answering

Dynamic Uncertainty Estimation for Offline Reinforcement Learning

Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering

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

Editing Memories Through Few Targeted Neurons

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

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

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

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

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting

Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity

Pairwise Matching Through Max-Weight Bipartite Belief Propagation

Video Rain Streak Removal by Multiscale Convolutional Sparse Coding

Thoracic Disease Identification and Localization With Limited Supervision

Semi-Supervised Transfer Learning for Image Rain Removal

Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution

Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding

Revisiting Prototypical Network for Cross Domain Few-Shot Learning

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

Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior

When Unsupervised Domain Adaptation Meets Tensor Representations

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?

Vehicle Re-Identification in Aerial Imagery: Dataset and Approach

COCO-GAN: Generation by Parts via Conditional Coordinating

Improving Adversarial Robustness via Guided Complement Entropy

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

Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning

Low-Biased General Annotated Dataset Generation

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

Meta Architecture Search

Abstract Reasoning with Distracting Features

Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization

Differentiable Top-k with Optimal Transport

Semi-Implicit Denoising Diffusion Models (SIDDMs)

Policy Certificates: Towards Accountable Reinforcement Learning