Xiao Wang
Computer Science · Purdue University West Lafayette
Publications
432
Citations
10,029
Est. group size
—
Recurring co-author estimate
Active years
28
Publishing since 1999
Xiao Wang's research focuses on computer vision, particularly object detection and tracking in images, video, and event-camera data, often using deep learning models such as transformers, state-space models (Mamba), and large language models. Application areas include remote sensing, autonomous vehicles/UAVs, pedestrian attribute recognition, and medical image analysis such as X-ray report generation. The work generally combines new model architectures with benchmark datasets for tasks like object tracking, segmentation, and multimodal recognition.
Publication output has grown substantially over the last decade, rising from about a dozen papers per year in 2017 to roughly 47-59 per year in 2024-2025, indicating a strong and increasing publication pace.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Attribute-Guided Semantic Alignment With Pre-Trained Foundation Models for Vehicle Detection
IEEE Transactions on Intelligent Transportation Systems · 2026
- Large Language Model Guided Progressive Feature Alignment for Multimodal UAV Object Detection
IEEE Transactions on Image Processing · 2026
- Segment Any Vehicle: Semantic and Visual Context Driven SAM and A Benchmark
IEEE Transactions on Circuits and Systems for Video Technology · 2026
- The rise and potential of large language model based agents: a survey
Science China Information Sciences · 2025
- MambaEVT: Event Stream-Based Visual Object Tracking Using State Space Model
IEEE Transactions on Circuits and Systems for Video Technology · 2025
- Mask-Guided Frequency Feature Fusion for Visible–Infrared Remote Sensing Object Detection
IEEE Transactions on Geoscience and Remote Sensing · 2025
- DehazeMamba: SAR-Guided Optical Remote Sensing Image Dehazing With Adaptive State Space Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2025
- Revisiting color-event based tracking: A unified network, dataset, and metric
Pattern Recognition · 2025
- SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event Based-Recognition
IEEE Transactions on Cognitive and Developmental Systems · 2025
- CRSOT: Cross-Resolution Object Tracking Using Unaligned Frame and Event Cameras
IEEE Transactions on Multimedia · 2025
- A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductility
Materials Genome Engineering Advances · 2025
- A complementary dual model for weakly supervised salient object detection
Pattern Recognition · 2025
- Multi-information Fusion Graph Convolutional Network for cancer driver gene identification
Pattern Recognition · 2025
- SequencePAR: Understanding pedestrian attributes via a sequence generation paradigm
Pattern Recognition · 2025
- Retain, Blend, and Exchange: A Quality-Aware Spatial-Stereo Fusion Approach for Event Stream Recognition
IEEE Transactions on Multimedia · 2025
- arXiv (Cornell University)×99
- IEEE Transactions on Circuits and Systems for Video Technology×11
- Pattern Recognition×8
- IEEE Transactions on Multimedia×8
- Lecture notes in computer science×8
- Pingping Zhang
Computer Science · The Ohio State University
- Yuqi Han
Computer Science · Indiana University
- Yuchen Wang
Computer Science · Indiana University
- Alex Leykin
Computer Science · Indiana University
- Manal Alduraibi
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile