Gang Wang

44

Papers

12

Total Citations

Papers (44)

PurpCode: Reasoning for Safer Code Generation

EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models

Tracking Tiny Drones against Clutter: Large-Scale Infrared Benchmark with Motion-Centric Adaptive Algorithm

Federated Representation Angle Learning

Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks

pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning

DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection

Multi-Constellation-Inspired Single-Shot Global LiDAR Localization

RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation

Multi-Manifold Deep Metric Learning for Image Set Classification

Deep Hashing for Compact Binary Codes Learning

Integrating Parametric and Non-Parametric Models For Scene Labeling

Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

DAG-Recurrent Neural Networks For Scene Labeling

Recurrent Attentional Networks for Saliency Detection

Context-Aware Gaussian Fields for Non-Rigid Point Set Registration

Global Context-Aware Attention LSTM Networks for 3D Action Recognition

Deep Level Sets for Salient Object Detection

Episodic CAMN: Contextual Attention-Based Memory Networks With Iterative Feedback for Scene Labeling

Progressive Attention Guided Recurrent Network for Salient Object Detection

Motion-Guided Cascaded Refinement Network for Video Object Segmentation

Person Re-Identification With Cascaded Pairwise Convolutions

A Bi-Directional Message Passing Model for Salient Object Detection

Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation

Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification

Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

SSNet: Scale Selection Network for Online 3D Action Prediction

Semantic Correlation Promoted Shape-Variant Context for Segmentation

Knowledge Distillation via the Target-Aware Transformer

Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks

Blob Reconstruction Using Unilateral Second Order Gaussian Kernels With Application to High-ISO Long-Exposure Image Denoising

Boundary-Aware Feature Propagation for Scene Segmentation

Unpaired Image Captioning via Scene Graph Alignments

DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving

Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow

Solving Most Systems of Random Quadratic Equations

An Empirical Study of Language CNN for Image Captioning

JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems

Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis

Collaborative Uncertainty in Multi-Agent Trajectory Forecasting

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking