Nian Liu

papers

1,223

total citations

papers (23)

Visual Saliency Transformer

ICCV 2021arXiv

452

citations

Learning Non-Target Knowledge for Few-Shot Semantic Segmentation

CVPR 2022arXiv

145

citations

VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning

CVPR 2024arXiv

107

citations

Summarize and Search: Learning Consensus-Aware Dynamic Convolution for Co-Saliency Detection

ICCV 2021arXiv

citations

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection

CVPR 2023arXiv

citations

AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents

CVPR 2024arXiv

citations

GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding

CVPR 2024arXiv

citations

Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt

CVPR 2023arXiv

citations

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

NEURIPS 2023arXiv

citations

Towards Instance-adaptive Inference for Federated Learning

ICCV 2023arXiv

citations

Provable Training for Graph Contrastive Learning

NEURIPS 2023arXiv

citations

Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation

ICCV 2023arXiv

citations

TransGOP: Transformer-Based Gaze Object Prediction

AAAI 2024arXiv

citations

RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping

ICCV 2025arXiv

citations

TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models

ICCV 2025arXiv

citations

Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining

ICCV 2025arXiv

citations

Unsupervised Learning for Class Distribution Mismatch

ICML 2025arXiv

citations

Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

CVPR 2020

citations

Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance

ICCV 2021

citations

Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation

ICML 2024

citations

Nian Liu

papers (23)

Visual Saliency Transformer

Learning Non-Target Knowledge for Few-Shot Semantic Segmentation

VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning

Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Weakly Supervised Video Salient Object Detection

Summarize and Search: Learning Consensus-Aware Dynamic Convolution for Co-Saliency Detection

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection

AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents

GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding

Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Towards Instance-adaptive Inference for Federated Learning

Provable Training for Graph Contrastive Learning

Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation

TransGOP: Transformer-Based Gaze Object Prediction

RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping

TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models

Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining

Unsupervised Learning for Class Distribution Mismatch

Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance

Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation

papers (23)

Visual Saliency Transformer

Learning Non-Target Knowledge for Few-Shot Semantic Segmentation

VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning

Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Weakly Supervised Video Salient Object Detection

Summarize and Search: Learning Consensus-Aware Dynamic Convolution for Co-Saliency Detection

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection

AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents

GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding

Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Towards Instance-adaptive Inference for Federated Learning

Provable Training for Graph Contrastive Learning

Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation

TransGOP: Transformer-Based Gaze Object Prediction

RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping

TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models

Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining

Unsupervised Learning for Class Distribution Mismatch

Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance

Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation