Pinned Repositories
beierzhu.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Discrete-Dyadic-Wavelet-Transform
Discrete Dyadic Wavelet Transform with derivative of the cubic B-spline function as a mother wavelet.
Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
GLA
[NeurIPS 2023] Generalized Logit Adjustment
l0-l20
I_0-minimization or l_20-minimization solver
power_flow
Calculate power flow with XB, BX, XX, BB and Coupled Constant Jacobian methods
Prompt-align
[ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
Sturcture-Coherency-Face-Alignment
[TIP 2021] We propose a structure-coherent deep feature learning method for face alignment. Unlike most existing face alignment methods which overlook the facial structure cues, we explicitly exploit the relation among facial landmarks to make the detector robust to hard cases such as occlusion and large pose.
VRF
[NeurIPS 2024] Robust Fine-tuning of Zero-shot Models via Variance Reduction
xERM
[AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"
BeierZhu's Repositories
BeierZhu/Prompt-align
[ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
BeierZhu/GLA
[NeurIPS 2023] Generalized Logit Adjustment
BeierZhu/xERM
[AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"
BeierZhu/Sturcture-Coherency-Face-Alignment
[TIP 2021] We propose a structure-coherent deep feature learning method for face alignment. Unlike most existing face alignment methods which overlook the facial structure cues, we explicitly exploit the relation among facial landmarks to make the detector robust to hard cases such as occlusion and large pose.
BeierZhu/Discrete-Dyadic-Wavelet-Transform
Discrete Dyadic Wavelet Transform with derivative of the cubic B-spline function as a mother wavelet.
BeierZhu/power_flow
Calculate power flow with XB, BX, XX, BB and Coupled Constant Jacobian methods
BeierZhu/l0-l20
I_0-minimization or l_20-minimization solver
BeierZhu/beierzhu.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
BeierZhu/Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
BeierZhu/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
BeierZhu/learn2learn
A PyTorch Library for Meta-learning Research
BeierZhu/PDAE
official PyTorch implementation of PDAE (NeurIPS 2022)
BeierZhu/VRF
[NeurIPS 2024] Robust Fine-tuning of Zero-shot Models via Variance Reduction
BeierZhu/ProReg
BeierZhu/pyCSalgos
Python Compressed Sensing algorithms
BeierZhu/UserStudy
BeierZhu/vfd-iccv21