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A 4D Light-Field Dataset and CNN Architectures for Material Recognition.

T. Wang, J. Zhu, H. Ebi, M. Chandraker, A. Efros, and R. Ramamoorthi. ECCV (3), volume 9907 of Lecture Notes in Computer Science, page 121-138. Springer, (2016)

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Unsupervised and Semi-Supervised Domain Adaptation for Action Recognition from Drones.J. Choi, G. Sharma, M. Chandraker, and J. Huang. WACV, page 1706-1715. IEEE, (2020)Person Re-identification in the Wild.L. Zheng, H. Zhang, S. Sun, M. Chandraker, Y. Yang, and Q. Tian. CVPR, page 3346-3355. IEEE Computer Society, (2017)Deep Network Flow for Multi-object Tracking.S. Schulter, P. Vernaza, W. Choi, and M. Chandraker. CVPR, page 2730-2739. IEEE Computer Society, (2017)DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents.N. Lee, W. Choi, P. Vernaza, C. Choy, P. Torr, and M. Chandraker. CVPR, page 2165-2174. IEEE Computer Society, (2017)WarpNet: Weakly Supervised Matching for Single-View Reconstruction.A. Kanazawa, D. Jacobs, and M. Chandraker. CVPR, page 3253-3261. IEEE Computer Society, (2016)Towards Large-Pose Face Frontalization in the Wild.X. Yin, X. Yu, K. Sohn, X. Liu, and M. Chandraker. ICCV, page 4010-4019. IEEE Computer Society, (2017)Efficient Controllable Multi-Task Architectures.A. Aich, S. Schulter, A. Roy-Chowdhury, M. Chandraker, and Y. Suh. ICCV, page 5717-5728. IEEE, (2023)Single-Shot Analysis of Refractive Shape Using Convolutional Neural Networks.J. Stets, Z. Li, J. Frisvad, and M. Chandraker. WACV, page 995-1003. IEEE, (2019)PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes.Y. Yeh, Z. Li, Y. Hold-Geoffroy, R. Zhu, Z. Xu, M. Hasan, K. Sunkavalli, and M. Chandraker. CVPR, page 18541-18550. IEEE, (2022)Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty.B. Zhuang, and M. Chandraker. CVPR, page 32-42. Computer Vision Foundation / IEEE, (2021)

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A 4D Light-Field Dataset and CNN Architectures for Material Recognition.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A 4D Light-Field Dataset and CNN Architectures for Material Recognition.

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A 4D Light-Field Dataset and CNN Architectures for Material Recognition.