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Project Preference AT3DCV SS 2022
Please give a ranking of your preferred projects (Every rank a different choice)
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Full Name
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Preferred Teammate(s)
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First Rank
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Project 1 :“PriorDepth“: Unsupervised Depth Estimation from Sparse Spatial-Temporal Priors
Project 2 : Hierarchical Retrieval in 3D Scans using GNN
Project 3: Point Cloud Reconstruction Learning priors to tackle occlusion and noise
Project 4: ToF Fusion
Project 5: Polarimetric Pose Prediction
Second Rank
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Choose
Project 1 :“PriorDepth“: Unsupervised Depth Estimation from Sparse Spatial-Temporal Priors
Project 2 : Hierarchical Retrieval in 3D Scans using GNN
Project 3: Point Cloud Reconstruction Learning priors to tackle occlusion and noise
Project 4: ToF Fusion
Project 5: Polarimetric Pose Prediction
Third Rank
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Choose
Project 1 :“PriorDepth“: Unsupervised Depth Estimation from Sparse Spatial-Temporal Priors
Project 2 : Hierarchical Retrieval in 3D Scans using GNN
Project 3: Point Cloud Reconstruction Learning priors to tackle occlusion and noise
Project 4: ToF Fusion
Project 5: Polarimetric Pose Prediction
Fourth Rank
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Choose
Project 1 :“PriorDepth“: Unsupervised Depth Estimation from Sparse Spatial-Temporal Priors
Project 2 : Hierarchical Retrieval in 3D Scans using GNN
Project 3: Point Cloud Reconstruction Learning priors to tackle occlusion and noise
Project 4: ToF Fusion
Project 5: Polarimetric Pose Prediction
Fifth Rank
*
Choose
Project 1 :“PriorDepth“: Unsupervised Depth Estimation from Sparse Spatial-Temporal Priors
Project 2 : Hierarchical Retrieval in 3D Scans using GNN
Project 3: Point Cloud Reconstruction Learning priors to tackle occlusion and noise
Project 4: ToF Fusion
Project 5: Polarimetric Pose Prediction
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