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Zilei Wang

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 10:11 PM AMS

28

papers

600

total citations

papers (28)

SimpleNet: A Simple Network for Image Anomaly Detection and Localization

Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment

ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large Language Models

Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning

Exploring Vacant Classes in Label-Skewed Federated Learning

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

Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference

Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-Domain 3D Action Recognition

A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation

GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation

Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-rich Superpixels

Semantic-guided Robustness Tuning for Few-Shot Transfer Across Extreme Domain Shift

Cooperative Pseudo Labeling for Unsupervised Federated Classification

Progressive Distribution Bridging: Unsupervised Adaptation for Large-scale Pre-trained Models via Adaptive Auxiliary Data

Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation

Towards Continual Universal Segmentation

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

RPN Prototype Alignment for Domain Adaptive Object Detector

Semi-Supervised Video Semantic Segmentation With Inter-Frame Feature Reconstruction

Protecting Model Adaptation from Trojans in the Unlabeled Data

Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation

Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment

Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation

Preparing the Future for Continual Semantic Segmentation

Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain Adaptation

Polynomial Regression Network for Variable-Number Lane Detection