Tieniu Tan

34

Papers

1,045

Total Citations

Papers (34)

Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval

Deep Supervised Discrete Hashing

NeurIPS 2017arXiv

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

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

ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering

See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification

Multistage Adversarial Losses for Pose-Based Human Image Synthesis

M3: Multimodal Memory Modelling for Video Captioning

An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution

Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation

Bi-Directional Interaction Network for Person Search

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

Instance Guided Proposal Network for Person Search

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

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

Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation

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

Locate Then Segment: A Strong Pipeline for Referring Image Segmentation

Wavelet-SRNet: A Wavelet-Based CNN for Multi-Scale Face Super Resolution

POD: Practical Object Detection With Scale-Sensitive Network

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

Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation

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

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

Pointly-Supervised Panoptic Segmentation

Exploring Vacant Classes in Label-Skewed Federated Learning

Protecting Model Adaptation from Trojans in the Unlabeled Data

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization

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

IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection

Unfolding the Alternating Optimization for Blind Super Resolution

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