Zhixiang Chi

papers

381

total citations

papers (11)

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

ECCV 2022arXiv

124

citations

All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling

ECCV 2020arXiv

citations

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts

NEURIPS 2022arXiv

citations

Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images

NEURIPS 2023arXiv

citations

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

ICLR 2025arXiv

citations

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation

ICCV 2025arXiv

citations

Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning

CVPR 2021

citations

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning

CVPR 2022

citations

Zhixiang Chi

papers (11)

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts

MetaGCD: Learning to Continually Learn in Generalized Category Discovery

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

Adapting to Distribution Shift by Visual Domain Prompt Generation

Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation

Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning

papers (11)

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts

MetaGCD: Learning to Continually Learn in Generalized Category Discovery

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

Adapting to Distribution Shift by Visual Domain Prompt Generation

Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation

Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning