Nian Liu

26

Papers

39

Total Citations

Papers (26)

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

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

Unsupervised Learning for Class Distribution Mismatch

Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation

Predicting Eye Fixations Using Convolutional Neural Networks

DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection

PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection

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

Learning Non-Target Knowledge for Few-Shot Semantic Segmentation

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

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

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

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

Visual Saliency Transformer

Towards Instance-adaptive Inference for Federated Learning

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

Weakly Supervised Video Salient Object Detection

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

AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents

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

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Provable Training for Graph Contrastive Learning