Real-Time Stereo Matching Network Based on 3D Channel and Disparity Attention for Edge Devices Toward Autonomous Driving. - Bifa Liang; Hong Yang; Jinhao Huang; Cheng Liu; Ru Yang (IEEE Access, 2023)

ConvMLP-Mixer Based Real-Time Stereo Matching Network Towards Autonomous Driving. - Cheng Liu; Wei Wei 047; Bifa Liang; Xihao Liu; Wenli Shang; Jun Li 036 (IEEE Trans. Veh. Technol., 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. - Jinhao Huang; Wei Wei 047; Bifa Liang; Cheng Liu; Wenli Shang; Jun Li 036 (IEEE Trans. Green Commun. Netw., 2023)

Real-Time Stereo Image Depth Estimation Network With Group-Wise L1 Distance for Edge Devices Towards Autonomous Driving. - Bifa Liang; Wei Wei 047; Jinhao Huang; Cheng Liu; Hong Yang; Ru Yang; Wenli Shang; Jun Li 036 (IEEE Trans. Veh. Technol., 2023)

Re-Parameterized Real-Time Stereo Matching Network Based on Mixed Cost Volumes Toward Autonomous Driving. - Bowen Yao; Wei Wei 047; Jinhao Huang; Bifa Liang; Jun Li 036 (IEEE Trans. Intell. Transp. Syst., 2023)

ARUNet: Advancing Real-Time Stereo Matching for Robotic Perception on Edge Devices. - Bifa Liang; Yichao Wang; Zhicong Huang; Ziyang Hu; Haifeng Hu 001; Jianming Xu; Dihu Chen (IEEE Robotics Autom. Lett., 2025)