Confidence Based updation of Motion Conspicuity in Dynamic Scenes. - Vivek Kumar Singh 005; Subhransu Maji; Amitabha Mukerjee (CRV, 2006)

Fast unsupervised alignment of video and text for indexing/names and faces. - Subhransu Maji; Ruzena Bajcsy (MS, 2007)

Classification using intersection kernel support vector machines is efficient. - Subhransu Maji; Alexander C. Berg; Jitendra Malik (CVPR, 2008)

Object detection using a max-margin Hough transform. - Subhransu Maji; Jitendra Malik (CVPR, 2009)

Distributed compression and fusion of nonnegative sparse signals for multiple-view object recognition. - Allen Y. Yang; Subhransu Maji; Kirak Hong; Posu Yan; S. Shankar Sastry (FUSION, 2009)

Max-margin additive classifiers for detection. - Subhransu Maji; Alexander C. Berg (ICCV, 2009)

Multiple-view object recognition in band-limited distributed camera networks. - Allen Y. Yang; Subhransu Maji; C. Mario Christoudias; Trevor Darrell; Jitendra Malik; S. Shankar Sastry (ICDSC, 2009)

Detecting People Using Mutually Consistent Poselet Activations. - Lubomir D. Bourdev; Subhransu Maji; Thomas Brox; Jitendra Malik (ECCV (6), 2010)

Object segmentation by alignment of poselet activations to image contours. - Thomas Brox; Lubomir D. Bourdev; Subhransu Maji; Jitendra Malik (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 (CVPR, 2011)

Describing people: A poselet-based approach to attribute classification. - 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 (ICCV, 2011)

Linearized Additive Classifiers - Subhransu Maji (CoRR, 2011)

Algorithms and Representations for Visual Recognition. - Subhransu Maji (2011)

Linearized Smooth Additive Classifiers. - Subhransu Maji (ECCV Workshops (1), 2012)

Discovering a Lexicon of Parts and Attributes. - Subhransu Maji (ECCV Workshops (3), 2012)

Part Annotations via Pairwise Correspondence. - Subhransu Maji; Gregory Shakhnarovich (HCOMP@AAAI, 2012)

Part Discovery from Partial Correspondence. - Subhransu Maji; Gregory Shakhnarovich (CVPR, 2013)

On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations. - Tamir Hazan; Subhransu Maji; Tommi S. Jaakkola (NIPS, 2013)

Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions. - Tamir Hazan; Subhransu Maji; Joseph Keshet; Tommi S. Jaakkola (NIPS, 2013)

Fine-Grained Visual Classification of Aircraft. - Subhransu Maji; Esa Rahtu; Juho Kannala; Matthew B. Blaschko; Andrea Vedaldi (CoRR, 2013)

Efficient Classification for Additive Kernel SVMs. - Subhransu Maji; Alexander C. Berg; Jitendra Malik (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Active Boundary Annotation using Random MAP Perturbations. - Subhransu Maji; Tamir Hazan; Tommi S. Jaakkola (AISTATS, 2014)

Describing Textures in the Wild. - Mircea Cimpoi; Subhransu Maji; Iasonas Kokkinos; Sammy Mohamed; Andrea Vedaldi (CVPR, 2014)

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

Understanding Objects in Detail with Fine-Grained Attributes. - Andrea Vedaldi; Siddharth Mahendran; Stavros Tsogkas; Subhransu Maji; Ross B. Girshick; Juho Kannala; Esa Rahtu; Iasonas Kokkinos; Matthew B. Blaschko; David J. Weiss; Ben Taskar; Karen Simonyan; et al. (CVPR, 2014)

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

Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection. - Ejaz Ahmed 002; Gregory Shakhnarovich; Subhransu Maji (ECCV (1), 2014)

Deep convolutional filter banks for texture recognition and segmentation. - Mircea Cimpoi; Subhransu Maji; Andrea Vedaldi (CoRR, 2014)

Part and Attribute Discovery from Relative Annotations. - Subhransu Maji; Gregory Shakhnarovich (Int. J. Comput. Vis., 2014)

Deep filter banks for texture recognition and segmentation. - Mircea Cimpoi; Subhransu Maji; Andrea Vedaldi (CVPR, 2015)

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

Multi-view Convolutional Neural Networks for 3D Shape Recognition. - Hang Su 005; Subhransu Maji; Evangelos Kalogerakis; Erik G. Learned-Miller (ICCV, 2015)

Automatic Image Annotation using Deep Learning Representations. - Venkatesh N. Murthy; Subhransu Maji; R. Manmatha (ICMR, 2015)

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

Face Identification with Bilinear CNNs. - Aruni RoyChowdhury; Tsung-Yu Lin; Subhransu Maji; Erik G. Learned-Miller (CoRR, 2015)

Jointly Learning Multiple Perceptual Similarities. - Liwen Zhang; Subhransu Maji; Ryota Tomioka (CoRR, 2015)

Large-Scale 3D Shape Retrieval from ShapeNet Core55. - Manolis Savva; Fisher Yu 001; Hao Su 001; Masaki Aono; Baoquan Chen; Daniel Cohen-Or; Weihong Deng; Hang Su 005; Song Bai 001; Xiang Bai; Noa Fish; Jiajie Han; et al. (3DOR@Eurographics, 2016)

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

Visualizing and Understanding Deep Texture Representations. - Tsung-Yu Lin; Subhransu Maji (CVPR, 2016)

One-to-many face recognition with bilinear CNNs. - Aruni Roy Chowdhury; Tsung-Yu Lin; Subhransu Maji; Erik G. Learned-Miller (WACV, 2016)

Cross Quality Distillation. - Jong-Chyi Su; Subhransu Maji (CoRR, 2016)

Deep Filter Banks for Texture Recognition, Description, and Segmentation. - Mircea Cimpoi; Subhransu Maji; Iasonas Kokkinos; Andrea Vedaldi (Int. J. Comput. Vis., 2016)

3D Shape Induction from 2D Views of Multiple Objects. - Matheus Gadelha; Subhransu Maji; Rui Wang 003 (3DV, 2017)

3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. - Zhaoliang Lun; Matheus Gadelha; Evangelos Kalogerakis; Subhransu Maji; Rui Wang 003 (3DV, 2017)

Shape Generation using Spatially Partitioned Point Clouds. - Matheus Gadelha; Subhransu Maji; Rui Wang 003 (BMVC, 2017)

Improved Bilinear Pooling with CNNs. - Tsung-Yu Lin; Subhransu Maji (BMVC, 2017)

Adapting Models to Signal Degradation using Distillation. - Jong-Chyi Su; Subhransu Maji (BMVC, 2017)

3D Shape Segmentation with Projective Convolutional Networks. - Evangelos Kalogerakis; Melinos Averkiou; Subhransu Maji; Siddhartha Chaudhuri (CVPR, 2017)

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

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

CSGNet: Neural Shape Parser for Constructive Solid Geometry. - Gopal Sharma; Rishabh Goyal; Difan Liu; Evangelos Kalogerakis; Subhransu Maji (CVPR, 2018)

SPLATNet: Sparse Lattice Networks for Point Cloud Processing. - Hang Su 005; Varun Jampani; Deqing Sun; Subhransu Maji; Evangelos Kalogerakis; Ming-Hsuan Yang 001; Jan Kautz (CVPR, 2018)

Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision. - Mikayla Timm; Subhransu Maji; Todd Fuller (CVPR Workshops, 2018)

Multiresolution Tree Networks for 3D Point Cloud Processing. - Matheus Gadelha; Rui Wang 003; Subhransu Maji (ECCV (7), 2018)

Second-Order Democratic Aggregation. - Tsung-Yu Lin; Subhransu Maji; Piotr Koniusz (ECCV (3), 2018)

A Deeper Look at 3D Shape Classifiers. - Jong-Chyi Su; Matheus Gadelha; Rui Wang 003; Subhransu Maji (ECCV Workshops (3), 2018)

Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition. - Tsung-Yu Lin; Aruni RoyChowdhury; Subhransu Maji (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Visemenet: audio-driven animator-centric speech animation. - Yang Zhou 009; Zhan Xu; Chris Landreth; Evangelos Kalogerakis; Subhransu Maji; Karan Singh (ACM Trans. Graph., 2018)

Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. - Gopal Sharma; Evangelos Kalogerakis; Subhransu Maji (3DV, 2019)

Random Feature Maps for the Itemset Kernel. - Kyohei Atarashi; Subhransu Maji; Satoshi Oyama (AAAI, 2019)

A Bayesian Perspective on the Deep Image Prior. - Zezhou Cheng; Matheus Gadelha; Subhransu Maji; Daniel Sheldon (CVPR, 2019)

Meta-Learning With Differentiable Convex Optimization. - Kwonjoon Lee; Subhransu Maji; Avinash Ravichandran; Stefano Soatto (CVPR, 2019)

Active Adversarial Domain Adaptation. - Jong-Chyi Su; Yi-Hsuan Tsai; Kihyuk Sohn; Buyu Liu; Subhransu Maji; Manmohan Chandraker (CVPR Workshops, 2019)

W!NCE: eyewear solution for upper face action units monitoring. - Soha Rostaminia; Alexander Lamson; Subhransu Maji; Tauhidur Rahman; Deepak Ganesan (ETRA, 2019)

Task2Vec: Task Embedding for Meta-Learning. - Alessandro Achille; Michael Lam; Rahul Tewari; Avinash Ravichandran; Subhransu Maji; Charless C. Fowlkes; Stefano Soatto; Pietro Perona (ICCV, 2019)

Shape Reconstruction Using Differentiable Projections and Deep Priors. - Matheus Gadelha; Rui Wang 003; Subhransu Maji (ICCV, 2019)

DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery. - Stephen Lee; Srinivasan Iyengar; Menghong Feng; Prashant J. Shenoy; Subhransu Maji (KDD, 2019)

Boosting Supervision with Self-Supervision for Few-shot Learning. - Jong-Chyi Su; Subhransu Maji; Bharath Hariharan (CoRR, 2019)

Visualizing and Describing Fine-grained Categories as Textures. - Tsung-Yu Lin; Mikayla Timm; Chenyun Wu; Subhransu Maji (CoRR, 2019)

The Spectral Bias of the Deep Image Prior. - Prithvijit Chakrabarty; Subhransu Maji (CoRR, 2019)

W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear. - Soha Rostaminia; Alexander Lamson; Subhransu Maji; Tauhidur Rahman; Deepak Ganesan (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

High Dimensional Inference With Random Maximum A-Posteriori Perturbations. - Tamir Hazan; Francesco Orabona; Anand D. Sarwate; Subhransu Maji; Tommi S. Jaakkola (IEEE Trans. Inf. Theory, 2019)

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

Learning Generative Models of Shape Handles. - Matheus Gadelha; Giorgio Gori; Duygu Ceylan; Radomír Mech; Nathan Carr 001; Tamy Boubekeur; Rui Wang 003; Subhransu Maji (CVPR, 2020)

PhraseCut: Language-Based Image Segmentation in the Wild. - Chenyun Wu; Zhe Lin 001; Scott Cohen; Trung Bui; Subhransu Maji (CVPR, 2020)

Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. - Matheus Gadelha; Aruni RoyChowdhury; Gopal Sharma; Evangelos Kalogerakis; Liangliang Cao; Erik G. Learned-Miller; Rui Wang 003; Subhransu Maji (ECCV (10), 2020)

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. - Gopal Sharma; Difan Liu; Subhransu Maji; Evangelos Kalogerakis; Siddhartha Chaudhuri; Radomír Mech (ECCV (7), 2020)

When Does Self-supervision Improve Few-Shot Learning? - Jong-Chyi Su; Subhransu Maji; Bharath Hariharan (ECCV (7), 2020)

Describing Textures Using Natural Language. - Chenyun Wu; Mikayla Timm; Subhransu Maji (ECCV (1), 2020)

Exploring and Predicting Transferability across NLP Tasks. - Tu Vu; Tong Wang 012; Tsendsuren Munkhdalai; Alessandro Sordoni; Adam Trischler; Andrew Mattarella-Micke; Subhransu Maji; Mohit Iyyer (EMNLP (1), 2020)

Unsupervised Discovery of Object Landmarks via Contrastive Learning. - Zezhou Cheng; Jong-Chyi Su; Subhransu Maji (CoRR, 2020)

StarcNet: Machine Learning for Star Cluster Identification. - Gustavo Pérez; Matteo Messa; Daniela Calzetti; Subhransu Maji; Dooseok Jung; Angela Adamo; Mattia Siressi (CoRR, 2020)

Inferring 3D Shapes from Image Collections Using Adversarial Networks. - Matheus Gadelha; Aartika Rai; Subhransu Maji; Rui Wang 003 (Int. J. Comput. Vis., 2020)

Semi-Supervised Learning with Taxonomic Labels. - Jong-Chyi Su; Subhransu Maji (BMVC, 2021)

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

Shot in the Dark: Few-Shot Learning With No Base-Class Labels. - Zitian Chen; Subhransu Maji; Erik G. Learned-Miller (CVPR Workshops, 2021)

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

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

Deep Manifold Prior. - Matheus Gadelha; Rui Wang 003; Subhransu Maji (ICCVW, 2021)

Revisiting Contrastive Learning for Few-Shot Classification. - Orchid Majumder; Avinash Ravichandran; Subhransu Maji; Marzia Polito; Rahul Bhotika; Stefano Soatto (CoRR, 2021)

The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop. - Jong-Chyi Su; Subhransu Maji (CoRR, 2021)

The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop. - Jong-Chyi Su; Subhransu Maji (CoRR, 2021)

Domain Adaptor Networks for Hyperspectral Image Recognition. - Gustavo Pérez; Subhransu Maji (CoRR, 2021)

SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. - Gopal Sharma; Bidya Dash; Matheus Gadelha; Aruni RoyChowdhury; Marios Loizou; Evangelos Kalogerakis; Liangliang Cao; Erik G. Learned-Miller; Rui Wang 003; Subhransu Maji (CoRR, 2021)

AI for conservation: learning to track birds with radar. - Zezhou Cheng; Subhransu Maji; Daniel Sheldon (XRDS, 2021)

GANORCON: Are Generative Models Useful for Few-shot Segmentation? - Oindrila Saha; Zezhou Cheng; Subhransu Maji (CVPR, 2022)

Cross-modal 3D Shape Generation and Manipulation. - Zezhou Cheng; Menglei Chai; Jian Ren 005; Hsin-Ying Lee 001; Kyle Olszewski; Zeng Huang; Subhransu Maji; Sergey Tulyakov (ECCV (3), 2022)

Improving Few-Shot Part Segmentation Using Coarse Supervision. - Oindrila Saha; Zezhou Cheng; Subhransu Maji (ECCV (30), 2022)

MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation. - Gopal Sharma; Kangxue Yin; Subhransu Maji; Evangelos Kalogerakis; Or Litany; Sanja Fidler (ECCV (2), 2022)

Domain Adaptors for Hyperspectral Images. - Gustavo Pérez; Subhransu Maji (ICPR, 2022)

Dynamic Transformer for Few-shot Instance Segmentation. - Haochen Wang; Jie Liu 043; Yongtuo Liu; Subhransu Maji; Jan-Jakob Sonke; Efstratios Gavves (ACM Multimedia, 2022)

PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. - Gopal Sharma; Bidya Dash; Aruni Roy Chowdhury; Matheus Gadelha; Marios Loizou; Liangliang Cao; Rui Wang 003; Erik G. Learned-Miller; Subhransu Maji; Evangelos Kalogerakis (Comput. Graph. Forum, 2022)

Leveraging Textures in Zero-shot Understanding of Fine-Grained Domains. - Chenyun Wu; Subhransu Maji (CoRR, 2022)

On Measuring and Controlling the Spectral Bias of the Deep Image Prior. - Zenglin Shi; Pascal Mettes; Subhransu Maji; Cees G. M. Snoek (Int. J. Comput. Vis., 2022)

Neural Shape Parsers for Constructive Solid Geometry. - Gopal Sharma; Rishabh Goyal; Difan Liu; Evangelos Kalogerakis; Subhransu Maji (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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

Accidental Turntables: Learning 3D Pose by Watching Objects Turn. - Zezhou Cheng; Matheus Gadelha; Subhransu Maji (ICCV (Workshops), 2023)

COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification. - Rangel Daroya; Aaron Sun; Subhransu Maji (ICCV (Workshops), 2023)

PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition. - Oindrila Saha; Subhransu Maji (ICCV (Workshops), 2023)

Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling. - Gustavo Pérez; Daniel Sheldon; Grant Van Horn; Subhransu Maji (CoRR, 2023)

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

Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships. - Rangel Daroya; Aaron Sun; Subhransu Maji (CVPR, 2024)

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

Human-in-the-Loop Visual Re-ID for Population Size Estimation. - Gustavo Pérez; Daniel Sheldon; Grant Van Horn; Subhransu Maji (ECCV (38), 2024)

The iNaturalist Sounds Dataset. - Mustafa Chasmai; Alexander Shepard; Subhransu Maji; Grant Van Horn (NeurIPS, 2024)

Combining Observational Data and Language for Species Range Estimation. - Max Hamilton; Christian Lange 004; Elijah Cole; Alexander Shepard; Samuel Heinrich; Oisin Mac Aodha; Grant Van Horn; Subhransu Maji (NeurIPS, 2024)

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

Improving Satellite Imagery Masking using Multi-task and Transfer Learning. - Rangel Daroya; Luísa Vieira Lucchese; Travis Simmons; Punwath Prum; Tamlin M. Pavelsky; John Gardner; Colin J. Gleason; Subhransu Maji (CoRR, 2024)

WildSAT: Learning Satellite Image Representations from Wildlife Observations. - Rangel Daroya; Elijah Cole; Oisin Mac Aodha; Grant Van Horn; Subhransu Maji (CoRR, 2024)

T-SAM: Transductive Learning for Segment Anything Model. - Rangel Daroya; Deepak Chandran; Subhransu Maji; Andrea Fanelli (CVPR Workshops, 2025)

Improving Satellite Imagery Masking Using Multitask and Transfer Learning. - Rangel Daroya; Luísa Vieira Lucchese; Travis Simmons; Punwath Prum; Tamlin M. Pavelsky; John Gardner; Colin J. Gleason; Subhransu Maji (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Generate, Transduct, Adapt: Iterative Transduction with VLMs. - Oindrila Saha; Logan Lawrence; Grant Van Horn; Subhransu Maji (CoRR, 2025)

Few-shot Species Range Estimation. - Christian Lange 004; Max Hamilton; Elijah Cole; Alexander Shepard; Samuel Heinrich; Angela Zhu; Subhransu Maji; Grant Van Horn; Oisin Mac Aodha (CoRR, 2025)

Audio Geolocation: A Natural Sounds Benchmark. - Mustafa Chasmai; Wuao Liu; Subhransu Maji; Grant Van Horn (CoRR, 2025)

Moment Sampling in Video LLMs for Long-Form Video QA. - Mustafa Chasmai; Gauri Jagatap; Gouthaman KV; Grant Van Horn; Subhransu Maji; Andrea Fanelli (CoRR, 2025)

Active Measurement: Efficient Estimation at Scale. - Max Hamilton; Jinlin Lai; Wenlong Zhao; Subhransu Maji; Daniel Sheldon (CoRR, 2025)

Consensus-Driven Active Model Selection. - Justin Kay; Grant Van Horn; Subhransu Maji; Daniel Sheldon; Sara Beery (CoRR, 2025)