Yazhou Yao

papers

930

total citations

papers (20)

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

ECCV 2022arXiv

citations

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach

ICCV 2021arXiv

citations

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning

AAAI 2024arXiv

citations

VideoMAC: Video Masked Autoencoders Meet ConvNets

CVPR 2024arXiv

citations

Field-wise Learning for Multi-field Categorical Data

NEURIPS 2020arXiv

citations

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection

CVPR 2025arXiv

citations

Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels

AAAI 2025arXiv

citations

Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs

ECCV 2024

citations

CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training

ICCV 2025

citations

3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition

AAAI 2025

citations

Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition

ICCV 2025

citations

Cycle-Consistent Learning for Joint Layout-to-Image Generation and Object Detection

ICCV 2025

citations

Tensor-aggregated LoRA in Federated Fine-tuning

ICCV 2025

citations

Region Graph Embedding Network for Zero-Shot Learning

ECCV 2020

citations

Few-Shot Semantic Segmentation With Cyclic Memory Network

ICCV 2021

citations

PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction

CVPR 2022

citations

UNIALIGN: Scaling Multimodal Alignment within One Unified Model

CVPR 2025

citations

Yazhou Yao

papers (20)

Poly Kernel Inception Network for Remote Sensing Detection

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

Jo-SRC: A Contrastive Approach for Combating Noisy Labels

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning

VideoMAC: Video Masked Autoencoders Meet ConvNets

Field-wise Learning for Multi-field Categorical Data

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection

Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels

Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs

CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training

3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition

Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition

Cycle-Consistent Learning for Joint Layout-to-Image Generation and Object Detection

Tensor-aggregated LoRA in Federated Fine-tuning

Region Graph Embedding Network for Zero-Shot Learning

Few-Shot Semantic Segmentation With Cyclic Memory Network

PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction

UNIALIGN: Scaling Multimodal Alignment within One Unified Model

papers (20)

Poly Kernel Inception Network for Remote Sensing Detection

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

Jo-SRC: A Contrastive Approach for Combating Noisy Labels

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning

VideoMAC: Video Masked Autoencoders Meet ConvNets

Field-wise Learning for Multi-field Categorical Data

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection

Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels

Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs

CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training

3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition

Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition

Cycle-Consistent Learning for Joint Layout-to-Image Generation and Object Detection

Tensor-aggregated LoRA in Federated Fine-tuning

Region Graph Embedding Network for Zero-Shot Learning

Few-Shot Semantic Segmentation With Cyclic Memory Network

PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction

UNIALIGN: Scaling Multimodal Alignment within One Unified Model