Lianli Gao

papers

1,323

total citations

papers (25)

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

ICCV 2021arXiv

citations

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression

CVPR 2022arXiv

citations

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack

CVPR 2022arXiv

citations

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

ECCV 2022arXiv

citations

Part-Aware Transformer for Generalizable Person Re-identification

ICCV 2023arXiv

citations

Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks

NEURIPS 2022arXiv

citations

Prototype-Based Embedding Network for Scene Graph Generation

CVPR 2023arXiv

citations

DePT: Decoupled Prompt Tuning

CVPR 2024arXiv

citations

Fine-Grained Predicates Learning for Scene Graph Generation

CVPR 2022arXiv

citations

Exploiting Scene Graphs for Human-Object Interaction Detection

ICCV 2021arXiv

citations

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval

NEURIPS 2023arXiv

citations

DETA: Denoised Task Adaptation for Few-Shot Learning

ICCV 2023arXiv

citations

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

CVPR 2024arXiv

citations

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

CVPR 2025arXiv

citations

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

AAAI 2024arXiv

citations

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

ECCV 2024arXiv

citations

A Lower Bound of Hash Codes' Performance

NEURIPS 2022arXiv

citations

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

CVPR 2022

citations

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

CVPR 2020

citations

FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models

NEURIPS 2025arXiv

citations

DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction

AAAI 2025

citations

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

NEURIPS 2022

citations

Lianli Gao

papers (25)

Frequency Domain Model Augmentation for Adversarial Attack

Patch-wise Attack for Fooling Deep Neural Network

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

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

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack

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

Part-Aware Transformer for Generalizable Person Re-identification

Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks

Prototype-Based Embedding Network for Scene Graph Generation

DePT: Decoupled Prompt Tuning

Fine-Grained Predicates Learning for Scene Graph Generation

Exploiting Scene Graphs for Human-Object Interaction Detection

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval

DETA: Denoised Task Adaptation for Few-Shot Learning

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

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

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

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

A Lower Bound of Hash Codes' Performance

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

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

FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models

DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction

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

papers (25)

Frequency Domain Model Augmentation for Adversarial Attack

Patch-wise Attack for Fooling Deep Neural Network

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

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

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack

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

Part-Aware Transformer for Generalizable Person Re-identification

Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks

Prototype-Based Embedding Network for Scene Graph Generation

DePT: Decoupled Prompt Tuning

Fine-Grained Predicates Learning for Scene Graph Generation

Exploiting Scene Graphs for Human-Object Interaction Detection

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval

DETA: Denoised Task Adaptation for Few-Shot Learning

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

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

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

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

A Lower Bound of Hash Codes' Performance

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

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

FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models

DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction

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