Pengyu Li
15 papers · 2019–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Keyword Champion
(2)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(92)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(11)
Computer Vision
(10)
Analysis
(10)
Learning Types Β· Machine Learning
(8)
Core Methods
(7)
Learning Types Β· Deep Learning
(6)
Artificial Intelligence
(4)
Architectures
(4)
Core AI Β· Artificial Intelligence
(4)
Application Areas
(2)
Core AI Β· Computer Vision
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Keywords
face recognition
(4)
non-maximum suppression
(2)
hard sample mining
(2)
neural network
(2)
convolutional neural network
(2)
metric learning
(2)
adversarial learning
(2)
cognitive modeling
(1)
hierarchical classification
(1)
domain adaptation
(1)
image retrieval
(1)
object detection
(1)
embedding learning
(1)
knowledge distillation
(1)
multi-label learning
(1)
semi-supervised learning
(1)
multi-label classification
(1)
visual cortex
(1)
feature embedding
(1)
multimodal learning
(1)
Papers
Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification
AAAI 2026
Grid-Attention: Enhancing Computational Efficiency of Large Vision Models without Fine-Tuning
ECCV 2024
Neural Collapse in Multi-label Learning with Pick-all-label Loss
ICML 2024
BioNet: A Biologically-Inspired Network for Face Recognition
CVPR 2023
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
CVPR 2023
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing
AAAI 2023
Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection
CVPR 2023
Dense Learning Based Semi-Supervised Object Detection
CVPR 2022
Adversarial Pose Regression Network for Pose-Invariant Face Recognitions
AAAI 2021
Deep Metric Learning with Graph Consistency
AAAI 2021
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
ICCV 2021
VirFace: Enhancing Face Recognition via Unlabeled Shallow Data
CVPR 2021
Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources
CVPR 2021
COVID-19 Literature Topic-Based Search via Hierarchical NMF
EMNLP 2020
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
ACL 2019