Skip to content
conftrace_

Bin-Bin Gao

18 papers · 2016–2026 · 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

Jump to papers ↓
+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (43) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🀝 Dynamic Duo (12) πŸ“ˆ Trend Setter ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (77)

Venues

AAAI (5) CVPR (4) ECCV (3) IJCAI (2) NeurIPS (2) ICCV (1) ICLR (1)

Top co-authors

Chengjie Wang (12) Jun Liu (8) Jinxiang Lai (5) Wenlong Wu (4) Yong Liu (4) Siqian Yang (3) Jianxin Wu (3) Yi Zeng (3) Wenbing Zhu (2) Hanqiu Deng (2)

Research topics

Computer Vision (11) Deep Learning (11) Analysis (11) Machine Learning (9) Learning Types Β· Deep Learning (8) Artificial Intelligence (7) Learning Types Β· Machine Learning (7) Learning Paradigms (6) Application Areas (2) Architectures (2) Core AI Β· Artificial Intelligence (2) Core Methods (2) Data Science & Analytics (1) Core AI Β· Computer Vision (1) Generation (1)

Keywords

few-shot learning (4) anomaly detection (3) defect detection (3) industrial anomaly detection (3) contrastive learning (2) semantic segmentation (2) zero-shot learning (2) unsupervised learning (2) novel class (2) vision-language model (2) multimodal learning (2) continual learning (2) convolutional neural network (2) change detection (1) transfer learning (1) domain generalization (1) visual question answering (1) feature learning (1) object detection (1) embedding (1)

Papers

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection AAAI 2026 PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training CVPR 2026 MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection ICLR 2025 Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection CVPR 2025 Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation ECCV 2024 Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection AAAI 2024 Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt ECCV 2024 MatchDet: A Collaborative Framework for Image Matching and Object Detection AAAI 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection CVPR 2024 Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt AAAI 2024 Clustered-patch Element Connection for Few-shot Learning IJCAI 2023 SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning AAAI 2023 Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation NeurIPS 2022 tSF: Transformer-Based Semantic Filter for Few-Shot Learning ECCV 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