Subhransu Maji

Orcid: 0000-0002-3869-9334

Affiliations:
  • University of Massachusetts, Amherst, MA, USA


According to our database1, Subhransu Maji authored at least 118 papers between 2006 and 2024.

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Bibliography

2024
OSLO: One-Shot Label-Only Membership Inference Attacks.
CoRR, 2024

Human-in-the-Loop Visual Re-ID for Population Size Estimation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling.
CoRR, 2023

PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accidental Turntables: Learning 3D Pose by Watching Objects Turn.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Neural Shape Parsers for Constructive Solid Geometry.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

On Measuring and Controlling the Spectral Bias of the Deep Image Prior.
Int. J. Comput. Vis., 2022

Leveraging Textures in Zero-shot Understanding of Fine-Grained Domains.
CoRR, 2022

PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation.
Comput. Graph. Forum, 2022

Dynamic Transformer for Few-shot Instance Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Domain Adaptors for Hyperspectral Images.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Improving Few-Shot Part Segmentation Using Coarse Supervision.
Proceedings of the Computer Vision - ECCV 2022, 2022

Cross-modal 3D Shape Generation and Manipulation.
Proceedings of the Computer Vision - ECCV 2022, 2022

GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
AI for conservation: learning to track birds with radar.
XRDS, 2021

SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds.
CoRR, 2021

Domain Adaptor Networks for Hyperspectral Image Recognition.
CoRR, 2021

The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop.
CoRR, 2021

The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop.
CoRR, 2021

Revisiting Contrastive Learning for Few-Shot Classification.
CoRR, 2021

Deep Manifold Prior.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

On Equivariant and Invariant Learning of Object Landmark Representations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Shot in the Dark: Few-Shot Learning With No Base-Class Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Learning with Taxonomic Labels.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Inferring 3D Shapes from Image Collections Using Adversarial Networks.
Int. J. Comput. Vis., 2020

StarcNet: Machine Learning for Star Cluster Identification.
CoRR, 2020

Unsupervised Discovery of Object Landmarks via Contrastive Learning.
CoRR, 2020

Exploring and Predicting Transferability across NLP Tasks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Describing Textures Using Natural Language.
Proceedings of the Computer Vision - ECCV 2020, 2020

When Does Self-supervision Improve Few-Shot Learning?
Proceedings of the Computer Vision - ECCV 2020, 2020

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds.
Proceedings of the Computer Vision - ECCV 2020, 2020

Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions.
Proceedings of the Computer Vision - ECCV 2020, 2020

PhraseCut: Language-Based Image Segmentation in the Wild.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Generative Models of Shape Handles.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Detecting and Tracking Communal Bird Roosts in Weather Radar Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
High Dimensional Inference With Random Maximum A-Posteriori Perturbations.
IEEE Trans. Inf. Theory, 2019

W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

The Spectral Bias of the Deep Image Prior.
CoRR, 2019

Visualizing and Describing Fine-grained Categories as Textures.
CoRR, 2019

Boosting Supervision with Self-Supervision for Few-shot Learning.
CoRR, 2019

DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Shape Reconstruction Using Differentiable Projections and Deep Priors.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Task2Vec: Task Embedding for Meta-Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

W!NCE: eyewear solution for upper face action units monitoring.
Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019

Active Adversarial Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Meta-Learning With Differentiable Convex Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Bayesian Perspective on the Deep Image Prior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Random Feature Maps for the Itemset Kernel.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Visemenet: audio-driven animator-centric speech animation.
ACM Trans. Graph., 2018

Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

VisemeNet: Audio-Driven Animator-Centric Speech Animation.
CoRR, 2018

A Deeper Look at 3D Shape Classifiers.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Second-Order Democratic Aggregation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Multiresolution Tree Networks for 3D Point Cloud Processing.
Proceedings of the Computer Vision - ECCV 2018, 2018

Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

SPLATNet: Sparse Lattice Networks for Point Cloud Processing.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CSGNet: Neural Shape Parser for Constructive Solid Geometry.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Reasoning About Fine-Grained Attribute Phrases Using Reference Games.
Proceedings of the IEEE International Conference on Computer Vision, 2017

3D Shape Segmentation with Projective Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Adapting Models to Signal Degradation using Distillation.
Proceedings of the British Machine Vision Conference 2017, 2017

Improved Bilinear Pooling with CNNs.
Proceedings of the British Machine Vision Conference 2017, 2017

Shape Generation using Spatially Partitioned Point Clouds.
Proceedings of the British Machine Vision Conference 2017, 2017

3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks.
Proceedings of the 2017 International Conference on 3D Vision, 2017

3D Shape Induction from 2D Views of Multiple Objects.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Deep Filter Banks for Texture Recognition, Description, and Segmentation.
Int. J. Comput. Vis., 2016

Cross Quality Distillation.
CoRR, 2016

One-to-many face recognition with bilinear CNNs.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Visualizing and Understanding Deep Texture Representations.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016


2015
Jointly Learning Multiple Perceptual Similarities.
CoRR, 2015

Face Identification with Bilinear CNNs.
CoRR, 2015

Learning Localized Perceptual Similarity Metrics for Interactive Categorization.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Automatic Image Annotation using Deep Learning Representations.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Multi-view Convolutional Neural Networks for 3D Shape Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Bilinear CNN Models for Fine-Grained Visual Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Deep filter banks for texture recognition and segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Part and Attribute Discovery from Relative Annotations.
Int. J. Comput. Vis., 2014

Deep convolutional filter banks for texture recognition and segmentation.
CoRR, 2014

Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection.
Proceedings of the Computer Vision - ECCV 2014, 2014

Similarity Comparisons for Interactive Fine-Grained Categorization.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Understanding Objects in Detail with Fine-Grained Attributes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Parsing World's Skylines Using Shape-Constrained MRFs.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Describing Textures in the Wild.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Active Boundary Annotation using Random MAP Perturbations.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Efficient Classification for Additive Kernel SVMs.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Fine-Grained Visual Classification of Aircraft.
CoRR, 2013

Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Part Discovery from Partial Correspondence.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Part Annotations via Pairwise Correspondence.
Proceedings of the 4th Human Computation Workshop, 2012

Discovering a Lexicon of Parts and Attributes.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Linearized Smooth Additive Classifiers.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011
Algorithms and Representations for Visual Recognition.
PhD thesis, 2011

Linearized Additive Classifiers
CoRR, 2011

Semantic contours from inverse detectors.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Describing people: A poselet-based approach to attribute classification.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Biased normalized cuts.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Action recognition from a distributed representation of pose and appearance.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Object segmentation by alignment of poselet activations to image contours.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Detecting People Using Mutually Consistent Poselet Activations.
Proceedings of the Computer Vision - ECCV 2010, 2010

2009
Multiple-view object recognition in band-limited distributed camera networks.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

Max-margin additive classifiers for detection.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Distributed compression and fusion of nonnegative sparse signals for multiple-view object recognition.
Proceedings of the 12th International Conference on Information Fusion, 2009

Object detection using a max-margin Hough transform.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Classification using intersection kernel support vector machines is efficient.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Fast unsupervised alignment of video and text for indexing/names and faces.
Proceedings of the 1st ACM Workshop on The Many Faces of Multimedia Semantics, 2007

2006
Confidence Based updation of Motion Conspicuity in Dynamic Scenes.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006


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