IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation - researchr publication authors

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Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu 0001. IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation. In 2021 IEEE International Conference on Multimedia and Expo, ICME 2021, Shenzhen, China, July 5-9, 2021. pages 1-6, IEEE, 2021. [doi]

This author has not been identified. Look up 'Qiang Wang' in GoogleThis author has not been identified. Look up 'Shizhen Zheng' in GoogleThis author has not been identified. Look up 'Qingsong Yan' in GoogleThis author has not been identified. Look up 'Fei Deng' in GoogleThis author has not been identified. Look up 'Kaiyong Zhao' in GoogleThis author has not been identified. Look up 'Xiaowen Chu 0001' in Google

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