Baozhi Jia

Orcid: 0009-0009-4233-8871

According to our database1, Baozhi Jia authored at least 14 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning Robot Visual Navigation in Crowds via Intention-Aware Scene Representations.
IEEE Robotics Autom. Lett., May, 2026

Tango: Taming Visual Signals for Efficient Video Large Language Models.
CoRR, April, 2026

2025
SONAR: Semantic-Object Navigation with Aggregated Reasoning through a Cross-Modal Inference Paradigm.
CoRR, September, 2025

A Single-Frequency Autofocusing Method Based on Conditional Diffusion Model for Millimeter-Wave Near-Range Imaging.
IEEE Trans. Geosci. Remote. Sens., 2025

Cross-Modal Contrastive Learning with Attention for Enhanced Facial Feature Extraction in Multimodal Emotion Recognition.
Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

2022
PBDE: an effective post-processing method based on box density for object detection.
Appl. Intell., 2022

2021
An Effective Face Anti-Spoofing Method via Stereo Matching.
IEEE Signal Process. Lett., 2021

2020
PBDE: An Effective Method for Filtering False Positive Boxes in Object Detection.
Proceedings of the 16th International Conference on Control, 2020

2016
Obstacle detection in single images with deep neural networks.
Signal Image Video Process., 2016

2015
Real-time obstacle detection with motion features using monocular vision.
Vis. Comput., 2015

A method of face detection with deep models for patrol videos.
Proceedings of the Seventh International Conference on Digital Image Processing, 2015

2014
Violence Detection in Video by Using 3D Convolutional Neural Networks.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

2013
A method of real-time detection for distant moving obstacles by monocular vision.
Proceedings of the Sixth International Conference on Machine Vision, 2013

An efficient pixel-wise method for moving object detection in complex scenes.
Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013


  Loading...