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GANORCON: Are Generative Models Useful for Few-shot Segmentation?


Dec 01, 2021
Oindrila Saha, Zezhou Cheng, Subhransu Maji


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Semi-Supervised Learning with Taxonomic Labels


Nov 23, 2021
Jong-Chyi Su, Subhransu Maji

* BMVC 2021 

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Domain Adaptor Networks for Hyperspectral Image Recognition


Aug 03, 2021
Gustavo Perez, Subhransu Maji


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On Measuring and Controlling the Spectral Bias of the Deep Image Prior


Jul 02, 2021
Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek

* Spectral bias; Deep image prior; 18 pages 

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The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop


Jun 02, 2021
Jong-Chyi Su, Subhransu Maji

* Tech report for Semi-iNat 2021 challenge, competition page: https://github.com/cvl-umass/semi-inat-2021 

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A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification


Apr 01, 2021
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji

* CVPR 2021 (oral) 

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The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop


Mar 11, 2021
Jong-Chyi Su, Subhransu Maji

* Tech report for Semi-iNat 2020 challenge, please see http://github.com/cvl-umass/semi-inat-2020 

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Revisiting Contrastive Learning for Few-Shot Classification


Jan 26, 2021
Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto


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Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning


Jan 21, 2021
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Zhuowen Tu, Stefano Soatto


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StarcNet: Machine Learning for Star Cluster Identification


Dec 16, 2020
Gustavo Perez, Matteo Messa, Daniela Calzetti, Subhransu Maji, Dooseok Jung, Angela Adamo, Mattia Siressi


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Shot in the Dark: Few-Shot Learning with No Base-Class Labels


Oct 06, 2020
Zitian Chen, Subhransu Maji, Erik Learned-Miller


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PhraseCut: Language-based Image Segmentation in the Wild


Aug 03, 2020
Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji

* Published in CVPR 2020. Code and data are released at: https://people.cs.umass.edu/~chenyun/phrasecut 

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Describing Textures using Natural Language


Aug 03, 2020
Chenyun Wu, Mikayla Timm, Subhransu Maji

* ECCV 2020 Oral. Code and dataset are released at: https://people.cs.umass.edu/~chenyun/texture 

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Unsupervised Discovery of Object Landmarks via Contrastive Learning


Jun 26, 2020
Zezhou Cheng, Jong-Chyi Su, Subhransu Maji

* Project Page: https://people.cs.umass.edu/~zezhoucheng/contrastive_landmark Code: https://github.com/cvl-umass/ContrastLandmark 

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Exploring and Predicting Transferability across NLP Tasks


May 02, 2020
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer

* Preprint, 44 pages, 3 figures, 33 tables 

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Detecting and Tracking Communal Bird Roosts in Weather Radar Data


Apr 24, 2020
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler

* 9 pages, 6 figures, AAAI 2020 (AI for Social Impact Track) 

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Deep Manifold Prior


Apr 08, 2020
Matheus Gadelha, Rui Wang, Subhransu Maji

* 22 pages, 12 figures 

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ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds


Apr 07, 2020
Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Měch


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Learning Generative Models of Shape Handles


Apr 06, 2020
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomir Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji

* 11 pages, 11 figures, accepted do CVPR 2020 

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Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions


Mar 30, 2020
Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji

* 18 pages, 5 figures 

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Neural Shape Parsers for Constructive Solid Geometry


Dec 22, 2019
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji

* arXiv admin note: substantial text overlap with arXiv:1712.08290 

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The Spectral Bias of the Deep Image Prior


Dec 18, 2019
Prithvijit Chakrabarty, Subhransu Maji

* Bayesian Deep Learning Workshop, NeurIPS 2019 

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When Does Self-supervision Improve Few-shot Learning?


Oct 08, 2019
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan

* This is an updated version of "Boosting Supervision with Self-Supervision for Few-shot Learning" arXiv:1906.07079 

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Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation


Oct 03, 2019
Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji


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Visualizing and Describing Fine-grained Categories as Textures


Jul 02, 2019
Tsung-Yu Lin, Mikayla Timm, Chenyun Wu, Subhransu Maji


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Boosting Supervision with Self-Supervision for Few-shot Learning


Jun 17, 2019
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan


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Inferring 3D Shapes from Image Collections using Adversarial Networks


Jun 11, 2019
Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang

* Source code: https://github.com/matheusgadelha/PrGAN . arXiv admin note: substantial text overlap with arXiv:1612.05872 

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Meta-Learning with Differentiable Convex Optimization


Apr 23, 2019
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto

* Accepted to CVPR 2019 (Oral) 

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