Yazhou Yao
33 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Cross-Pollinator (8) π§ Keyword Pioneer π Academic Marathon (7) π Conference Polyglot (7) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(67)
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
β‘
Prolific Year
(9)
π
Trend Setter
π
Century Club
(30)
ποΈ
Keyword Collector
(149)
π₯
Unstoppable
(5)
Conferences
AAAI (8)
CVPR (8)
ICCV (7)
ECCV (5)
IJCAI (3)
ICML (1)
NIPS (1)
Top co-authors
Keywords
contrastive learning
(4)
image classification
(4)
noisy label
(4)
video understanding
(3)
representation learning
(3)
robust learning
(3)
low-rank adaptation
(2)
fine-grained recognition
(2)
consistency regularization
(2)
action recognition
(2)
fine-grained classification
(2)
attention mechanism
(2)
zero-shot learning
(2)
foundation model
(2)
object detection
(2)
multi-instance learning
(2)
noisy label learning
(2)
self-supervised learning
(2)
multimodal learning
(2)
remote sensing
(2)
Papers
Beyond Quadratic: Linear-Time Change Detection with RWKV
AAAI 2026
Foundation-Adaptive Integrated Refinement for Generalized Category Discovery
AAAI 2026
AbductiveMLLM: Boosting Visual Abductive Reasoning Within MLLMs
AAAI 2026
Cycle-Consistent Learning for Joint Layout-to-Image Generation and Object Detection
ICCV 2025
3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition
AAAI 2025
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels
AAAI 2025
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection
CVPR 2025
Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization
ICML 2025
Tensor-aggregated LoRA in Federated Fine-tuning
ICCV 2025
Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition
ICCV 2025
UNIALIGN: Scaling Multimodal Alignment within One Unified Model
CVPR 2025
CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training
ICCV 2025
Foster Adaptivity and Balance in Learning with Noisy Labels
ECCV 2024
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
AAAI 2024
VideoMAC: Video Masked Autoencoders Meet ConvNets
CVPR 2024
Poly Kernel Inception Network for Remote Sensing Detection
CVPR 2024
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation
ECCV 2024
"Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs"
ECCV 2024
PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction
CVPR 2022
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
ECCV 2022
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
CVPR 2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach
ICCV 2021
Few-Shot Semantic Segmentation With Cyclic Memory Network
ICCV 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels
CVPR 2021
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
AAAI 2020
Region Graph Embedding Network for Zero-Shot Learning
ECCV 2020
Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing
IJCAI 2020
Field-wise Learning for Multi-field Categorical Data
NIPS 2020
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification
AAAI 2020
Attentive Region Embedding Network for Zero-Shot Learning
CVPR 2019
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering
ICCV 2019
Dynamically Visual Disambiguation of Keyword-based Image Search
IJCAI 2019
Extracting Privileged Information from Untagged Corpora for Classifier Learning
IJCAI 2018