Maji, Subhransu

73 publications

NeurIPS 2025 Active Measurement: Efficient Estimation at Scale Max Hamilton, Jinlin Lai, Wenlong Zhao, Subhransu Maji, Daniel Sheldon

ICCV 2025 Consensus-Driven Active Model Selection Justin Kay, Grant Van Horn, Subhransu Maji, Daniel Sheldon, Sara Beery

ICML 2025 Feedforward Few-Shot Species Range Estimation Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha

ICCV 2025 Generate, Transduct, Adapt: Iterative Transduction with VLMs Oindrila Saha, Logan Lawrence, Grant Van Horn, Subhransu Maji

NeurIPS 2025 Merlin L48 Spectrogram Dataset Aaron Sun, Subhransu Maji, Grant Van Horn

CVPRW 2025 T-SAM: Transductive Learning for Segment Anything Model Rangel Daroya, Deepak Chandran, Subhransu Maji, Andrea Fanelli

ICCV 2025 WildSAT: Learning Satellite Image Representations from Wildlife Observations Rangel Daroya, Elijah Cole, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji

NeurIPS 2024 Combining Observational Data and Language for Species Range Estimation Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji

AAAI 2024 DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling Gustavo Pérez, Subhransu Maji, Daniel Sheldon

ECCV 2024 Human-in-the-Loop Visual Re-ID for Population Size Estimation Gustavo Perez, Daniel Sheldon, Grant Van Horn, Subhransu Maji

CVPR 2024 Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions Oindrila Saha, Grant Van Horn, Subhransu Maji

NeurIPS 2024 OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng, Jaechul Roh, Subhransu Maji, Amir Houmansadr

CVPR 2024 Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships Rangel Daroya, Aaron Sun, Subhransu Maji

NeurIPS 2024 The iNaturalist Sounds Dataset Mustafa Chasmai, Alexander Shepard, Subhransu Maji, Grant Van Horn

NeurIPSW 2023 A Semi-Automated System to Annotate Communal Roosts in Large-Scale Weather Radar Data Wenlong Zhao, Gustavo Perez, Zezhou Cheng, Maria Carolina Tiburcio Dias Belotti, Yuting Deng, Victoria Simons, Elske K Tielens, Jeffrey Kelly, Kyle Horton, Subhransu Maji, Daniel Sheldon

ICCVW 2023 Accidental Turntables: Learning 3D Pose by Watching Objects Turn Zezhou Cheng, Matheus Gadelha, Subhransu Maji

ICCVW 2023 COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification Rangel Daroya, Aaron Sun, Subhransu Maji

ICCV 2023 LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia

ICCVW 2023 PARTICLE: Part Discovery and Contrastive Learning for Fine-Grained Recognition Oindrila Saha, Subhransu Maji

NeurIPSW 2022 An AI-Assisted Labeling Tool for Cataloging High-Resolution Images of Galaxies Gustavo Perez, Sean Linden, Timothy McQuaid, Matteo Messa, Daniela Calzetti, Subhransu Maji

ECCV 2022 Cross-Modal 3D Shape Generation and Manipulation Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov

CVPR 2022 GanOrCon: Are Generative Models Useful for Few-Shot Segmentation? Oindrila Saha, Zezhou Cheng, Subhransu Maji

ECCV 2022 Improving Few-Shot Part Segmentation Using Coarse Supervision Oindrila Saha, Zezhou Cheng, Subhransu Maji

ECCV 2022 MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler

CVPR 2021 A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su, Zezhou Cheng, Subhransu Maji

ICCVW 2021 Deep Manifold Prior Matheus Gadelha, Rui Wang, Subhransu Maji

CVPR 2021 Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Zhuowen Tu, Stefano Soatto

ICCV 2021 On Equivariant and Invariant Learning of Object Landmark Representations Zezhou Cheng, Jong-Chyi Su, Subhransu Maji

CVPRW 2021 Shot in the Dark: Few-Shot Learning with No Base-Class Labels Zitian Chen, Subhransu Maji, Erik G. Learned-Miller

WACV 2020 Active Adversarial Domain Adaptation Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker

ECCV 2020 Describing Textures Using Natural Language Chenyun Wu, Mikayla Timm, Subhransu Maji

AAAI 2020 Detecting and Tracking Communal Bird Roosts in Weather Radar Data Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler

ECCV 2020 Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji

ECCV 2020 ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Měch

ECCV 2020 When Does Self-Supervision Improve Few-Shot Learning? Jong-Chyi Su, Subhransu Maji, Bharath Hariharan

CVPRW 2019 Active Adversarial Domain Adaptation Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker

AAAI 2019 Random Feature Maps for the Itemset Kernel Kyohei Atarashi, Subhransu Maji, Satoshi Oyama

ECCVW 2018 A Deeper Look at 3D Shape Classifiers Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji

CVPRW 2018 Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision Mikayla Timm, Subhransu Maji, Todd Fuller

ECCV 2018 Multiresolution Tree Networks for 3D Point Cloud Processing Matheus Gadelha, Rui Wang, Subhransu Maji

ECCV 2018 Second-Order Democratic Aggregation Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz

CVPR 2017 3D Shape Segmentation with Projective Convolutional Networks Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri

ICCV 2017 Reasoning About Fine-Grained Attribute Phrases Using Reference Games Jong-Chyi Su, Chenyun Wu, Huaizu Jiang, Subhransu Maji

WACV 2017 Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs Thomas Irmer, Tobias Glasmachers, Subhransu Maji

CVPRW 2016 Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery Aruni Roy Chowdhury, Daniel Sheldon, Subhransu Maji, Erik G. Learned-Miller

WACV 2016 One-to-Many Face Recognition with Bilinear CNNs Aruni Roy Chowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller

CVPR 2016 Visualizing and Understanding Deep Texture Representations Tsung-Yu Lin, Subhransu Maji

ICCV 2015 Bilinear CNN Models for Fine-Grained Visual Recognition Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji

CVPR 2015 Deep Filter Banks for Texture Recognition and Segmentation Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi

WACV 2015 Learning Localized Perceptual Similarity Metrics for Interactive Categorization Catherine Wah, Subhransu Maji, Serge J. Belongie

ICCV 2015 Multi-View Convolutional Neural Networks for 3D Shape Recognition Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik Learned-Miller

AISTATS 2014 Active Boundary Annotation Using Random MAP Perturbations Subhransu Maji, Tamir Hazan, Tommi S. Jaakkola

CVPR 2014 Describing Textures in the Wild Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, Andrea Vedaldi

ECCV 2014 Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection Ejaz Ahmed, Gregory Shakhnarovich, Subhransu Maji

CVPR 2014 Parsing World's Skylines Using Shape-Constrained MRFs Rashmi Tonge, Subhransu Maji, C. V. Jawahar

CVPR 2014 Similarity Comparisons for Interactive Fine-Grained Categorization Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge Belongie

CVPR 2014 Understanding Objects in Detail with Fine-Grained Attributes Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed

NeurIPS 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi Jaakkola

NeurIPS 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations Tamir Hazan, Subhransu Maji, Tommi Jaakkola

CVPR 2013 Part Discovery from Partial Correspondence Subhransu Maji, Gregory Shakhnarovich

ECCV 2012 Discovering a Lexicon of Parts and Attributes Subhransu Maji

ECCVW 2012 Discovering a Lexicon of Parts and Attributes Subhransu Maji

ECCV 2012 Linearized Smooth Additive Classifiers Subhransu Maji

ECCVW 2012 Linearized Smooth Additive Classifiers Subhransu Maji

CVPR 2011 Action Recognition from a Distributed Representation of Pose and Appearance Subhransu Maji, Lubomir D. Bourdev, Jitendra Malik

CVPR 2011 Biased Normalized Cuts Subhransu Maji, Nisheeth K. Vishnoi, Jitendra Malik

ICCV 2011 Describing People: A Poselet-Based Approach to Attribute Classification Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik

CVPR 2011 Object Segmentation by Alignment of Poselet Activations to Image Contours Thomas Brox, Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik

ICCV 2011 Semantic Contours from Inverse Detectors Bharath Hariharan, Pablo Arbeláez, Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik

ECCV 2010 Detecting People Using Mutually Consistent Poselet Activations Lubomir D. Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik

ICCV 2009 Max-Margin Additive Classifiers for Detection Subhransu Maji, Alexander C. Berg

CVPR 2009 Object Detection Using a Max-Margin Hough Transform Subhransu Maji, Jitendra Malik

CVPR 2008 Classification Using Intersection Kernel Support Vector Machines Is Efficient Subhransu Maji, Alexander C. Berg, Jitendra Malik