Tianhong Dai
9 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🧭 Keyword Pioneer
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(6)
Computer Vision
(5)
Deep Learning
(5)
Artificial Intelligence
(4)
Analysis
(4)
Core AI
(4)
Learning Types · Deep Learning
(3)
Processing
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
semantic segmentation
(4)
weakly supervised learning
(3)
class activation map
(2)
prototype learning
(2)
biomedical imaging
(2)
optimal transport
(2)
feature learning
(1)
vision transformer
(1)
image classification
(1)
intrinsic reward
(1)
anomaly detection
(1)
data augmentation
(1)
image synthesis
(1)
prompt generation
(1)
generative adversarial network
(1)
domain adaptation
(1)
cooperative multi-agent
(1)
reward shaping
(1)
contrastive learning
(1)
multi-agent reinforcement learning
(1)
Papers
Hunting Normality from Query Sample via Residual Learning for Generalist Anomaly Detection
CVPR 2026
Class Token as Proxy: Optimal Transport-assisted Proxy Learning for Weakly Supervised Semantic Segmentation
ICCV 2025
Enhancing Prompt Generation with Adaptive Refinement for Camouflaged Object Detection
ICCV 2025
POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
CVPR 2025
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
MICCAI 2024
PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
CVPR 2024
Deep Reinforcement Learning for Subpixel Neural Tracking
MIDL 2019
Image Synthesis with a Convolutional Capsule Generative Adversarial Network
MIDL 2019
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
NeurIPS 2019