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AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation.

, , , , , and . ECCV (9), volume 12354 of Lecture Notes in Computer Science, page 52-71. Springer, (2020)

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MBB: Model-Based Baseline for Efficient Reinforcement Learning., , , , and . CoRR, (2020)5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair., , , , , , and . CoRR, (2023)Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving., , , , , and . CoRR, (2020)Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization., , , , , , and . ICASSP, page 2835-2839. IEEE, (2021)AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation., , , , , and . ECCV (9), volume 12354 of Lecture Notes in Computer Science, page 52-71. Springer, (2020)Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis., , , , , and . ICCV Workshops, page 332-341. IEEE, (2019)MARRS: Multimodal Reference Resolution System., , , , , , , , , and 8 other author(s). CoRR, (2023)Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition., , , , , , and . CVPR, page 637-646. Computer Vision Foundation / IEEE, (2019)Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training., , , , , , , , and . AAAI, page 11629-11636. AAAI Press, (2020)Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition., , , , , , and . ICCV, page 4985-4995. IEEE, (2019)