Jun Liu

47

Papers

213

Total Citations

Papers (47)

LLaFS: When Large Language Models Meet Few-Shot Segmentation

Correlation Matching Transformation Transformers for UHD Image Restoration

6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation

LEAD: Exploring Logit Space Evolution for Model Selection

CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering

Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models

VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning

ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding

VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention

CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs

Global-Semantic Alignment Distillation for Partial Multi-view Classification

Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension

Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment

RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models

MatchDet: A Collaborative Framework for Image Matching and Object Detection

DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space

Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection

Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator

Referring Expression Counting

LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content

LLMs are Good Action Recognizers

Action Detection via an Image Diffusion Process

LLMs are Good Sign Language Translators

Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation

Network Tight Community Detection

Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification

UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers

LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation

Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather

An Image-like Diffusion Method for Human-Object Interaction Detection

Convex Combination Star Shape Prior for Data-driven Image Semantic Segmentation

LongDiff: Training-Free Long Video Generation in One Go

POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation

Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models

Boundary Probing for Input Privacy Protection When Using LMM Services

Blind Noisy Image Deblurring Using Residual Guidance Strategy

DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models

Performing Defocus Deblurring by Modeling its Formation Process

Recognizing Actions from Robotic View for Natural Human-Robot Interaction

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding