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Near Perfect GAN Inversion



Qianli Feng , Viraj Shah , Raghudeep Gadde , Pietro Perona , Aleix Martinez


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Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer



Yair Kittenplon , Inbal Lavi , Sharon Fogel , Yarin Bar , R. Manmatha , Pietro Perona


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Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features



Guha Balakrishnan , Raghudeep Gadde , Aleix Martinez , Pietro Perona


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Self-Supervised Keypoint Discovery in Behavioral Videos



Jennifer J. Sun , Serim Ryou , Roni Goldshmid , Brandon Weissbourd , John Dabiri , David J. Anderson , Ann Kennedy , Yisong Yue , Pietro Perona


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Weakly Supervised Keypoint Discovery



Serim Ryou , Pietro Perona


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Species Distribution Modeling for Machine Learning Practitioners: A Review



Sara Beery , Elijah Cole , Joseph Parker , Pietro Perona , Kevin Winner

* ACM COMPASS 2021 

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Multi-Label Learning from Single Positive Labels



Elijah Cole , Oisin Mac Aodha , Titouan Lorieul , Pietro Perona , Dan Morris , Nebojsa Jojic

* CVPR 2021 

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The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions



Jennifer J. Sun , Tomomi Karigo , Dipam Chakraborty , Sharada P. Mohanty , David J. Anderson , Pietro Perona , Yisong Yue , Ann Kennedy

* Dataset and challenge: https://www.aicrowd.com/challenges/multi-agent-behavior-representation-modeling-measurement-and-applications Part of MABe workshop @ CVPR21: https://sites.google.com/view/mabe21/home 

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Matched sample selection with GANs for mitigating attribute confounding



Chandan Singh , Guha Balakrishnan , Pietro Perona


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A linearized framework and a new benchmark for model selection for fine-tuning



Aditya Deshpande , Alessandro Achille , Avinash Ravichandran , Hao Li , Luca Zancato , Charless Fowlkes , Rahul Bhotika , Stefano Soatto , Pietro Perona

* 14 pages 

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