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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 2, 2020
Building and Interpreting Deep Similarity ModelsOliver Eberle, Jochen Buttner, Florian Krautli, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 2, 2020
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationXiaojuan Qi, Zhengzhe Liu, Renjie Liao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 2, 2020
Towards Partial Supervision for Generic Object Counting in Natural ScenesHisham Cholakkal, Guolei Sun, Salman Khan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 4, 2020
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent HomologyJames R Clough, Nicholas Byrne, Ilkay Oksuz, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 18, 2020
Differential Viewpoints for Ground Terrain Material RecognitionJia Xue, Hang Zhang, Ko Nishino, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 18, 2020
Efficient and Stable Graph Scattering Transforms via PruningVassilis N Ioannidis, Siheng Chen, Georgios B Giannakis
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 8, 2021
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and GeneralizationPan Zhou, Xiaotong Yuan, Zhouchen Lin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 29, 2021
Pyramidal Semantic Correspondence NetworksSangryul Jeon, Seungryong Kim, Dongbo Min, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 2, 2021
HandVoxNet++: 3D Hand Shape and Pose Estimation Using Voxel-Based Neural NetworksJameel Malik, Soshi Shimada, Ahmed Elhayek, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 2, 2021
Self-Supervised Deep Monocular Depth Estimation With Ambiguity BoostingJuan Luis Gonzalez Bello, Munchurl Kim
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