Tieniu Tan

papers

1,066

total citations

papers (22)

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

NEURIPS 2023arXiv

citations

Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition

ECCV 2020arXiv

citations

Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels

CVPR 2020arXiv

citations

GAIA: A Transfer Learning System of Object Detection That Fits Your Needs

CVPR 2021arXiv

citations

Pointly-Supervised Panoptic Segmentation

ECCV 2022arXiv

citations

AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis

AAAI 2024arXiv

citations

Learning Instance-Level Spatial-Temporal Patterns for Person Re-Identification

ICCV 2021arXiv

citations

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization

ICML 2024arXiv

citations

Exploring Vacant Classes in Label-Skewed Federated Learning

AAAI 2025arXiv

citations

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

ECCV 2022arXiv

citations

The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models

NEURIPS 2025arXiv

citations

Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation

CVPR 2020

citations

Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification

ECCV 2020

citations

Protecting Model Adaptation from Trojans in the Unlabeled Data

AAAI 2025arXiv

citations

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models

ICML 2024arXiv

citations

Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation

ECCV 2020

citations

Instance Guided Proposal Network for Person Search

CVPR 2020

citations

Bi-Directional Interaction Network for Person Search

CVPR 2020

citations

Cross-Modal Cross-Domain Moment Alignment Network for Person Search

CVPR 2020

citations

Tieniu Tan

papers (22)

Unfolding the Alternating Optimization for Blind Super Resolution

Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation

Locate Then Segment: A Strong Pipeline for Referring Image Segmentation

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition

Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels

GAIA: A Transfer Learning System of Object Detection That Fits Your Needs

Pointly-Supervised Panoptic Segmentation

AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis

Learning Instance-Level Spatial-Temporal Patterns for Person Re-Identification

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization

Exploring Vacant Classes in Label-Skewed Federated Learning

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models

Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation

Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification

Protecting Model Adaptation from Trojans in the Unlabeled Data

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models

Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation

Instance Guided Proposal Network for Person Search

Bi-Directional Interaction Network for Person Search

Cross-Modal Cross-Domain Moment Alignment Network for Person Search

papers (22)

Unfolding the Alternating Optimization for Blind Super Resolution

Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation

Locate Then Segment: A Strong Pipeline for Referring Image Segmentation

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition

Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels

GAIA: A Transfer Learning System of Object Detection That Fits Your Needs

Pointly-Supervised Panoptic Segmentation

AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis

Learning Instance-Level Spatial-Temporal Patterns for Person Re-Identification

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization

Exploring Vacant Classes in Label-Skewed Federated Learning

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models

Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation

Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification

Protecting Model Adaptation from Trojans in the Unlabeled Data

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models

Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation

Instance Guided Proposal Network for Person Search

Bi-Directional Interaction Network for Person Search

Cross-Modal Cross-Domain Moment Alignment Network for Person Search