Subhransu Maji

According to our database, Subhransu Maji authored at least 116 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships.

Rangel Daroya, Aaron Sun, Subhransu Maji

CoRR, 2024

Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions.

Oindrila Saha, Grant Van Horn, Subhransu Maji

CoRR, 2024

DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling.

Gustavo Pérez, Subhransu Maji, Daniel Sheldon

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.

Gustavo Pérez, Daniel Sheldon, Grant Van Horn, Subhransu Maji

CoRR, 2023

PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition.

Oindrila Saha, Subhransu Maji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification.

Rangel Daroya, Aaron Sun, Subhransu Maji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accidental Turntables: Learning 3D Pose by Watching Objects Turn.

Zezhou Cheng, Matheus Gadelha, Subhransu Maji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs.

Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

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

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

Chenyun Wu, Subhransu Maji

CoRR, 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, Erik G. Learned-Miller, Subhransu Maji, Evangelos Kalogerakis

Comput. Graph. Forum, 2022

Dynamic Transformer for Few-shot Instance Segmentation.

Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Domain Adaptors for Hyperspectral Images.

Gustavo Pérez, Subhransu Maji

Proceedings of the 26th International Conference on Pattern Recognition, 2022

MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation.

Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving Few-Shot Part Segmentation Using Coarse Supervision.

Oindrila Saha, Zezhou Cheng, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Oindrila Saha, Zezhou Cheng, Subhransu Maji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

AI for conservation: learning to track birds with radar.

Zezhou Cheng, Subhransu Maji, Daniel Sheldon

XRDS, 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, Subhransu Maji

CoRR, 2021

Domain Adaptor Networks for Hyperspectral Image Recognition.

Gustavo Pérez, Subhransu Maji

CoRR, 2021

The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop.

Jong-Chyi Su, Subhransu Maji

CoRR, 2021

The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop.

Jong-Chyi Su, Subhransu Maji

CoRR, 2021

Revisiting Contrastive Learning for Few-Shot Classification.

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

CoRR, 2021

Deep Manifold Prior.

Matheus Gadelha, Rui Wang, Subhransu Maji

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

On Equivariant and Invariant Learning of Object Landmark Representations.

Zezhou Cheng, Jong-Chyi Su, Subhransu Maji

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Jong-Chyi Su, Zezhou Cheng, Subhransu Maji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Zitian Chen, Subhransu Maji, Erik G. Learned-Miller

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Learning with Taxonomic Labels.

Jong-Chyi Su, Subhransu Maji

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Inferring 3D Shapes from Image Collections Using Adversarial Networks.

Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang

Int. J. Comput. Vis., 2020

StarcNet: Machine Learning for Star Cluster Identification.

Gustavo Pérez, Matteo Messa, Daniela Calzetti, Subhransu Maji, Dooseok Jung, Angela Adamo, Mattia Siressi

CoRR, 2020

Unsupervised Discovery of Object Landmarks via Contrastive Learning.

Zezhou Cheng, Jong-Chyi Su, Subhransu Maji

CoRR, 2020

Exploring and Predicting Transferability across NLP Tasks.

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Describing Textures Using Natural Language.

Chenyun Wu, Mikayla Timm, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2020, 2020

When Does Self-supervision Improve Few-Shot Learning?

Jong-Chyi Su, Subhransu Maji, Bharath Hariharan

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Mech

Proceedings of the Computer Vision - ECCV 2020, 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, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2020, 2020

PhraseCut: Language-Based Image Segmentation in the Wild.

Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Generative Models of Shape Handles.

Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

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

The Spectral Bias of the Deep Image Prior.

Prithvijit Chakrabarty, Subhransu Maji

CoRR, 2019

Visualizing and Describing Fine-grained Categories as Textures.

Tsung-Yu Lin, Mikayla Timm, Chenyun Wu, Subhransu Maji

CoRR, 2019

Boosting Supervision with Self-Supervision for Few-shot Learning.

Jong-Chyi Su, Subhransu Maji, Bharath Hariharan

CoRR, 2019

DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery.

Stephen Lee, Srinivasan Iyengar, Menghong Feng, Prashant J. Shenoy, Subhransu Maji

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Shape Reconstruction Using Differentiable Projections and Deep Priors.

Matheus Gadelha, Rui Wang, Subhransu Maji

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Task2Vec: Task Embedding for Meta-Learning.

Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

W!NCE: eyewear solution for upper face action units monitoring.

Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, Deepak Ganesan

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019

Active Adversarial Domain Adaptation.

Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Meta-Learning With Differentiable Convex Optimization.

Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Bayesian Perspective on the Deep Image Prior.

Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Random Feature Maps for the Itemset Kernel.

Kyohei Atarashi, Subhransu Maji, Satoshi Oyama

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation.

Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Visemenet: audio-driven animator-centric speech animation.

Yang Zhou, Zhan Xu, Chris Landreth, Evangelos Kalogerakis, Subhransu Maji, Karan Singh

ACM Trans. Graph., 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, Shan Xu, Chris Landreth, Evangelos Kalogerakis, Subhransu Maji, Karan Singh

CoRR, 2018

A Deeper Look at 3D Shape Classifiers.

Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Second-Order Democratic Aggregation.

Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz

Proceedings of the Computer Vision - ECCV 2018, 2018

Multiresolution Tree Networks for 3D Point Cloud Processing.

Matheus Gadelha, Rui Wang, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2018, 2018

Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision.

Mikayla Timm, Subhransu Maji, Todd Fuller

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

SPLATNet: Sparse Lattice Networks for Point Cloud Processing.

Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CSGNet: Neural Shape Parser for Constructive Solid Geometry.

Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs.

Thomas Irmer, Tobias Glasmachers, Subhransu Maji

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Reasoning About Fine-Grained Attribute Phrases Using Reference Games.

Jong-Chyi Su, Chenyun Wu, Huaizu Jiang, Subhransu Maji

Proceedings of the IEEE International Conference on Computer Vision, 2017

3D Shape Segmentation with Projective Convolutional Networks.

Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Adapting Models to Signal Degradation using Distillation.

Jong-Chyi Su, Subhransu Maji

Proceedings of the British Machine Vision Conference 2017, 2017

Improved Bilinear Pooling with CNNs.

Tsung-Yu Lin, Subhransu Maji

Proceedings of the British Machine Vision Conference 2017, 2017

Shape Generation using Spatially Partitioned Point Clouds.

Matheus Gadelha, Subhransu Maji, Rui Wang

Proceedings of the British Machine Vision Conference 2017, 2017

3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks.

Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang

Proceedings of the 2017 International Conference on 3D Vision, 2017

3D Shape Induction from 2D Views of Multiple Objects.

Matheus Gadelha, Subhransu Maji, Rui Wang

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

Deep Filter Banks for Texture Recognition, Description, and Segmentation.

Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Andrea Vedaldi

Int. J. Comput. Vis., 2016

Cross Quality Distillation.

Jong-Chyi Su, Subhransu Maji

CoRR, 2016

One-to-many face recognition with bilinear CNNs.

Aruni Roy Chowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Visualizing and Understanding Deep Texture Representations.

Tsung-Yu Lin, Subhransu Maji

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery.

Aruni Roy Chowdhury, Daniel Sheldon, Subhransu Maji, Erik G. Learned-Miller

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Large-Scale 3D Shape Retrieval from ShapeNet Core55.

Manolis Savva, Fisher Yu, Hao Su, Masaki Aono, Baoquan Chen, Daniel Cohen-Or, Weihong Deng, Hang Su, Song Bai, Xiang Bai, Noa Fish, Jiajie Han, Evangelos Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, Atsushi Tatsuma, Yida Wang, Nanhai Zhang, Zhichao Zhou

Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

2015

Jointly Learning Multiple Perceptual Similarities.

Liwen Zhang, Subhransu Maji, Ryota Tomioka

CoRR, 2015

Face Identification with Bilinear CNNs.

Aruni RoyChowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller

CoRR, 2015

Learning Localized Perceptual Similarity Metrics for Interactive Categorization.

Catherine Wah, Subhransu Maji, Serge J. Belongie

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Automatic Image Annotation using Deep Learning Representations.

Venkatesh N. Murthy, Subhransu Maji, R. Manmatha

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Multi-view Convolutional Neural Networks for 3D Shape Recognition.

Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Bilinear CNN Models for Fine-Grained Visual Recognition.

Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Deep filter banks for texture recognition and segmentation.

Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Part and Attribute Discovery from Relative Annotations.

Subhransu Maji, Gregory Shakhnarovich

Int. J. Comput. Vis., 2014

Deep convolutional filter banks for texture recognition and segmentation.

Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi

CoRR, 2014

Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection.

Ejaz Ahmed, Gregory Shakhnarovich, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2014, 2014

Similarity Comparisons for Interactive Fine-Grained Categorization.

Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge J. Belongie

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 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, Naomi Saphra, Sammy Mohamed

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Parsing World's Skylines Using Shape-Constrained MRFs.

Rashmi Vilas Tonge, Subhransu Maji, C. V. Jawahar

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Describing Textures in the Wild.

Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, Andrea Vedaldi

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Active Boundary Annotation using Random MAP Perturbations.

Subhransu Maji, Tamir Hazan, Tommi S. Jaakkola

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Efficient Classification for Additive Kernel SVMs.

Subhransu Maji, Alexander C. Berg, Jitendra Malik

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Fine-Grained Visual Classification of Aircraft.

Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew B. Blaschko, Andrea Vedaldi

CoRR, 2013

Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions.

Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi S. Jaakkola

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.

Tamir Hazan, Subhransu Maji, Tommi S. Jaakkola

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.

Subhransu Maji, Gregory Shakhnarovich

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Part Annotations via Pairwise Correspondence.

Subhransu Maji, Gregory Shakhnarovich

Proceedings of the 4th Human Computation Workshop, 2012

Discovering a Lexicon of Parts and Attributes.

Subhransu Maji

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Linearized Smooth Additive Classifiers.

Subhransu Maji

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011

Algorithms and Representations for Visual Recognition.

Subhransu Maji

PhD thesis, 2011

Linearized Additive Classifiers

Subhransu Maji

CoRR, 2011

Semantic contours from inverse detectors.

Bharath Hariharan, Pablo Arbeláez, Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik

Proceedings of the IEEE International Conference on Computer Vision, 2011

Describing people: A poselet-based approach to attribute classification.

Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik

Proceedings of the IEEE International Conference on Computer Vision, 2011

Biased normalized cuts.

Subhransu Maji, Nisheeth K. Vishnoi, Jitendra Malik

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Action recognition from a distributed representation of pose and appearance.

Subhransu Maji, Lubomir D. Bourdev, Jitendra Malik

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Object segmentation by alignment of poselet activations to image contours.

Thomas Brox, Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Detecting People Using Mutually Consistent Poselet Activations.

Lubomir D. Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2010, 2010

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

Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

Max-margin additive classifiers for detection.

Subhransu Maji, Alexander C. Berg

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.

Allen Y. Yang, Subhransu Maji, Kirak Hong, Posu Yan, S. Shankar Sastry

Proceedings of the 12th International Conference on Information Fusion, 2009

Object detection using a max-margin Hough transform.

Subhransu Maji, Jitendra Malik

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.

Subhransu Maji, Alexander C. Berg, Jitendra Malik

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.

Subhransu Maji, Ruzena Bajcsy

Proceedings of the 1st ACM Workshop on The Many Faces of Multimedia Semantics, 2007

2006

Confidence Based updation of Motion Conspicuity in Dynamic Scenes.

Vivek Kumar Singh, Subhransu Maji, Amitabha Mukerjee

Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006