Pengfei Chen
19 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (45)
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Keyword Champion
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Keyword Collector
(92)
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(14)
Learning Types Β· Machine Learning
(9)
Deep Learning
(8)
Computer Vision
(6)
Core Methods
(6)
Natural Language Processing
(5)
Learning Types Β· Deep Learning
(5)
Analysis
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Applications
(3)
Architectures
(3)
Core AI
(3)
Processing
(3)
Models
(2)
Keywords
label noise
(3)
weakly supervised learning
(3)
object detection
(2)
multi-label classification
(2)
multiple instance learning
(2)
image quality assessment
(2)
instance segmentation
(2)
pairwise ranking
(2)
class-conditional noise
(2)
segment anything model
(2)
benchmark evaluation
(1)
curriculum learning
(1)
text classification
(1)
noisy label learning
(1)
semantic segmentation
(1)
sequence generation
(1)
feature extraction
(1)
text-to-image generation
(1)
ensemble learning
(1)
stochastic gradient descent
(1)
Papers
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
AAAI 2026
Fine-grained Image Aesthetic Assessment: Learning Discriminative Scores from Relative Ranks
CVPR 2026
Fine-grained Image Quality Assessment for Perceptual Image Restoration
AAAI 2026
LongT2IBench: A Benchmark for Evaluating Long Text-to-Image Generation with Graph-structured Annotations
AAAI 2026
TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning
AAAI 2026
PATeam at SemEval-2025 Task 10: Two-stage News Analytical Framework: Target-oriented Semantic Segmentation and Sequence Generation LLMs for Cross-Lingual Entity and Narrative Analysis
SemEval 2025
PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection
SemEval 2025
SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation
ICLR 2025
Semantic-aware SAM for Point-Prompted Instance Segmentation
CVPR 2024
Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes
ICCV 2023
Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels
ECCV 2022
Object Localization Under Single Coarse Point Supervision
CVPR 2022
Point-to-Box Network for Accurate Object Detection via Single Point Supervision
ECCV 2022
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
AAAI 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
AAAI 2021
Noise against noise: stochastic label noise helps combat inherent label noise
ICLR 2021
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
AAAI 2021
Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment
ICCV 2021
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
ICML 2019