IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation. - Qiang Wang 022; Shizhen Zheng; Qingsong Yan; Fei Deng; Kaiyong Zhao; Xiaowen Chu 001 (CoRR, 2019)

FADNet: A Fast and Accurate Network for Disparity Estimation. - Qiang Wang 022; Shaohuai Shi; Shizhen Zheng; Kaiyong Zhao; Xiaowen Chu 001 (ICRA, 2020)

IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation. - Qiang Wang 022; Shizhen Zheng; Qingsong Yan; Fei Deng; Kaiyong Zhao; Xiaowen Chu 001 (ICME, 2021)

FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks. - Qiang Wang 022; Shaohuai Shi; Shizhen Zheng; Kaiyong Zhao; Xiaowen Chu 001 (CoRR, 2021)