Xinhao Xiang

Xinhao Xiang

Ph.D. student in Computer Science

UC Davis

About Me

I am currently a student pursing Doctorate of Philosophy in Computer Science degree in University of California, Davis advised by Dr. Jiawei Zhang. Prior to that, I got my Bachelor of Engineering degree from Southern University of Science and Technology (SUSTech) in Shenzhen, China, where I was in the Department of Computer Science and Engineering and advised by Dr. Yuhui Shi. My research involve in Computer Vision (3D Object Detection, Point Cloud Perception, Segmentation, Multi-model Fusion, Open-vocabulary Detection, Efficient Vision Models), Generative AI (AI Generated Video Evaluation, Multi-modal Language Models), and AI Robotics (Swarm Intelligence, Path Planning, Multi-target Optimization).

Interests
  • Computer Vision
  • Generative AI
  • AI Robotics
Education

  • Ph.D. in Computer Science, 2022-present

    UC Davis

  • M.S. in Computer Science, 2021-2022

    UC Davis

  • B.E. in Computer Science and Technology, 2017-2021

    Southern University of Science and Technology (SUSTech)

Publications

Quickly discover relevant content by filtering publications.
MambaFuse: Object Detection with Deep Information and Pesudo Features Argumentation
A novel 3D detector that use Sequential Mamba Fusion blocks with Deep Information and Pesudo Features Argumentation for efficient and effective detection under fusion on Image, Point Cloud and Radar modalities.
Xinhao Xiang, Jiawei Zhang
A Survey of AI-Generated Video Evaluation
A comprehensive review of current methodologies of AI-Generated Video Evaluation (AIGVE), highlighting emerging field, and guiding for future research directions.
Xiao Liu, Xinhao Xiang, Zizhong Li, Yongheng Wang, Zhuoheng Li, Zhuosheng Liu, Weidi Zhang, Weiqi Ye, Jiawei Zhang
PDF Cite
A Survey of AI-Generated Video Evaluation
EffiPerception: an Efficient Framework for Various Perception Tasks
A general framework with efficient feature extractions and layers (Sparse Down-Sampling, Global Spatial Aggregation). It achieves great accuracy-speed performance with relatively low memory cost under several perception tasks (including 3D/2D detection/segmentation).
Xinhao Xiang, Simon Dräger, Jiawei Zhang
PDF Cite
EffiPerception: an Efficient Framework for Various Perception Tasks
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion
A novel 3D Object Detection method that structure the task as a denoising diffusion process from noisy 3D boxes to target boxes.
Xinhao Xiang, Simon Dräger, Jiawei Zhang
PDF Cite
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion
FusionViT: Hierarchical 3D Object Detection via Lidar and Camera Vision Transformer Fusion
A ViT-pured hierarchical architecture that embed both Images and Point Clouds, fused via a mixViT for efficient 3D Object Detection.
Xinhao Xiang, Jiawei Zhang
PDF Cite
FusionViT: Hierarchical 3D Object Detection via Lidar and Camera Vision Transformer Fusion
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics
A BSO-based collaborative searching framework for swarm robotics.
Jian Yang, Donghui Zhao, Xinhao Xiang, and Yuhui Shi
PDF Cite DOI
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics
Exploration Enhanced RPSO for Collaborative Multitarget Searching of Robotic Swarms
An multitarget searching method for robotic swarms.
Jian Yang, Ruilin Xiong, Xinhao Xiang, and Yuhui Shi
PDF Cite Code Video DOI
Exploration Enhanced RPSO for Collaborative Multitarget Searching of Robotic Swarms

Archives

Collaborative Multitarget Searching of Robotic Swarms Based on PF and BSO Algorithm
[Undergraduate thesis] Proposed a novel strategy of collaborative motion and multi-target searching for swarm intelligent robots under decentralized topology architecture with limited sense of perception and infocommunication ability;
Xinhao Xiang
Jul 1, 2021
PDF Cite
Collaborative Multitarget Searching of Robotic Swarms Based on PF and BSO Algorithm
Application Level Anomaly Detection in Autonomous Vehicles
[UCInspire research intern technical report] Employed the Carla simulator to perform real-time vehicle driving simulation. Collected and extracted various sensors’ data. Proposed a new strategy to detect outlier situations for this settings.
Xinhao Xiang
Nov 29, 2020
PDF Cite
Application Level Anomaly Detection in Autonomous Vehicles

Contact