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cs.CV2023
NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting
Md Ahmed Al Muzaddid, William J. Beksi
In agriculture, automating the accurate tracking of fruits, vegetables, and fiber is a very tough problem. The issue becomes extremely challenging in dynamic field environments. Ye…
cs.CV2023
IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D Reconstruction
Mohammad Samiul Arshad, William J. Beksi
Reconstruction of 3D open surfaces (e.g., non-watertight meshes) is an underexplored area of computer vision. Recent learning-based implicit techniques have removed previous barrie…
cs.CV2023
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction
Mohammad Samiul Arshad, William J. Beksi
Accurate reconstruction of both the geometric and topological details of a 3D object from a single 2D image embodies a fundamental challenge in computer vision. Existing explicit/i…