Lianli Gao

27

Papers

86

Total Citations

Papers (27)

DePT: Decoupled Prompt Tuning

ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval

Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection

Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation

Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks

Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning

What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images

Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack

Fine-Grained Predicates Learning for Scene Graph Generation

Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression

Prototype-Based Embedding Network for Scene Graph Generation

Exploiting Scene Graphs for Human-Object Interaction Detection

From General to Specific: Informative Scene Graph Generation via Balance Adjustment

DETA: Denoised Task Adaptation for Few-Shot Learning

Part-Aware Transformer for Generalizable Person Re-identification

Patch-wise Attack for Fooling Deep Neural Network

Frequency Domain Model Augmentation for Adversarial Attack

Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves

DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction

F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis

Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks

A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval

A Lower Bound of Hash Codes' Performance

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval