Bifa Liang

Orcid: 0000-0003-2200-9228

According to our database1, Bifa Liang authored at least 10 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RCAENet: Residual Convolutional and Attention-Enhanced Stereo Matching for Real-Time Depth Estimation on Edge Devices.
ACM Trans. Multim. Comput. Commun. Appl., March, 2026

SASANet: A Lightweight Multi-Stage Network for Real-Time Depth Estimation.
IEEE Trans. Consumer Electron., February, 2026

PSKNet: Lightweight kernel-aware slice network for real-time stereo depth estimation on edge devices.
Knowl. Based Syst., 2026

2025
FASNet: a high-precision, two-stage stereo matching network for real-time depth perception.
Signal Image Video Process., December, 2025

ARUNet: Advancing Real-Time Stereo Matching for Robotic Perception on Edge Devices.
IEEE Robotics Autom. Lett., September, 2025

2023
Re-Parameterized Real-Time Stereo Matching Network Based on Mixed Cost Volumes Toward Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., December, 2023

Real-Time Stereo Image Depth Estimation Network With Group-Wise L1 Distance for Edge Devices Towards Autonomous Driving.
IEEE Trans. Veh. Technol., November, 2023

Real-Time Stereo Disparity Prediction Based on Patch-Embedded Extraction and Depthwise Hierarchical Refinement for 3-D Sensing of Autonomous Vehicles on Energy-Efficient Edge Computing Devices.
IEEE Trans. Green Commun. Netw., March, 2023

ConvMLP-Mixer Based Real-Time Stereo Matching Network Towards Autonomous Driving.
IEEE Trans. Veh. Technol., February, 2023

Real-Time Stereo Matching Network Based on 3D Channel and Disparity Attention for Edge Devices Toward Autonomous Driving.
IEEE Access, 2023


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