Bin-Bin Gao
17 papers · 2016–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (13)
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(5)
πΊοΈ
Taxonomy Completionist
(41)
π
Interdisciplinary Bridge
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Dynamic Duo
(10)
β‘
Prolific Year
(7)
π₯
Unstoppable
(5)
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Century Club
(16)
ποΈ
Keyword Collector
(65)
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Trend Setter
Conferences
AAAI (5)
CVPR (3)
ECCV (3)
IJCAI (2)
NIPS (2)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
few-shot learning
(4)
anomaly detection
(3)
semantic segmentation
(2)
defect detection
(2)
convolutional neural network
(2)
continual learning
(2)
industrial anomaly detection
(2)
vision-language model
(2)
unsupervised learning
(2)
multimodal learning
(2)
zero-shot learning
(2)
contrastive learning
(2)
novel class
(2)
change detection
(1)
transfer learning
(1)
domain generalization
(1)
feature learning
(1)
attention mechanism
(1)
object detection
(1)
metric learning
(1)
Papers
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
AAAI 2026
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
CVPR 2025
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
ICLR 2025
MatchDet: A Collaborative Framework for Image Matching and Object Detection
AAAI 2024
Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt
AAAI 2024
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
AAAI 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
CVPR 2024
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
ECCV 2024
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
ECCV 2024
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
NIPS 2024
Clustered-patch Element Connection for Few-shot Learning
IJCAI 2023
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning
AAAI 2023
tSF: Transformer-Based Semantic Filter for Few-Shot Learning
ECCV 2022
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
NIPS 2022
Age Estimation Using Expectation of Label Distribution Learning
IJCAI 2018
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
ICCV 2017
Exploit Bounding Box Annotations for Multi-Label Object Recognition
CVPR 2016