Human capital evaluation of Chinese forestry listed companies based on the improvement of organizational resilience.
J. Comput. Methods Sci. Eng., 2024
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos.
CoRR, 2024
MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos.
CoRR, 2024
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surface.
CoRR, 2024
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Enhancing Operator Engagement in Safety Critical Control Rooms-Validating Influential Factors and Improving Interview-based Data Collection.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2023
Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Perspective Fields for Single Image Camera Calibration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Analysis of the Tasks of Control Room Operators Within Chinese Motorway Control Rooms.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2022
PlaneFormers: From Sparse View Planes to 3D Reconstruction.
Proceedings of the Computer Vision - ECCV 2022, 2022
Understanding 3D Object Articulation in Internet Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Planar Surface Reconstruction from Sparse Views.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Understanding Engagement in the Workplace: Studying Operators in Chinese Traffic Control Rooms.
Proceedings of the Design, User Experience, and Usability. Design for Contemporary Interactive Environments, 2020
Associative3D: Volumetric Reconstruction from Sparse Views.
Proceedings of the Computer Vision - ECCV 2020, 2020
Inferring Occluded Geometry Improves Performance When Retrieving an Object from Dense Clutter.
Proceedings of the Robotics Research, 2019