Publications and tech reports
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DBLP
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, Neural Information Processing Systems (NeurIPS), 2024 | [details coming soon]
-
The iNaturalist Sound Dataset, Mustafa Chasmai, Alexander Shepard, Subhransu Maji, Grant Van Horn,
Neural Information Processing Systems (NeurIPS), 2024 | [details coming soon]
- Human-in-the-Loop Visual Re-ID for Population Size Estimation,
Gustavo Perez, Daniel Sheldon, Grant Van Horn, Subhransu Maji,
European Conference on Computer Vision (ECCV), 2024 | preprint, code, bibtex
-
Feedback in emerging extragalactic star clusters, FEAST: The relation between 3.3 μm PAH emission and Star Formation Rate traced by ionized gas in NGC 628,
Gregg et. al., The Astrophysical Journal (ApJ), 2024
-
Using Spatio-Temporal Information in Weather Radar Data to Detect and Track Communal Bird Roosts,
Gustavo Perez, Wenlong Zhao, Zezhou Cheng, Maria Carolina Belotti, Yuting Deng, Victoria Simons, Elske Tielens, Jeffrey Kelly, Kyle Horton, Subhransu Maji, Daniel Sheldon,
Remote Sensing in Ecology and Conservation, 2024
-
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions,
Oindrila Saha, Grant Van Horn, Subhransu Maji, Computer Vision and Pattern Recognition (CVPR), 2024 | webpage
-
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships,
Rangel Daroya, Aaron Sun, Subhransu Maji, Computer Vision and Pattern Recognition (CVPR), 2024 | webpage
-
DISCount: Counting in Large Image Collections with Detector-based Importance Sampling,
Gustavo Perez, Subhransu Maji†, and Daniel Sheldon†,
Association for the Advancement of Artificial Intelligence (AAAI), 2024 (†equal contribution) | project page, code
Best Paper for the AI for Social Impact Track at AAAI | Award page
2023
-
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
, Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia, International Conference on Computer Vision (ICCV) 2023 | project page
-
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification,
Rangel Daroya†, Aaron Sun†, Subhransu Maji,
Visual Inductive Priors for Data-Efficient Deep Learning
Workshop, ICCV 2023 (†equal contribution) |
project page
-
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition,
Oindrila Saha, Subhransu Maji,
Visual Inductive Priors for Data-Efficient Deep Learning
Workshop, ICCV 2023 |
project page
-
Accidental Turntables: Learning 3D Pose by Watching Objects Turn,
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Workshop on
Recovering 6D Object Pose (R6D), ICCV 2023
| project page
-
ZeoNet: 3D Convolutional Neural Networks for Predicting Adsorption in Nanoporous Zeolites,
Yachan Liu†, Gustavo Perez†, Zezhou Cheng, Aaron Sun, Samuel Hoover, Wei Fan, Subhransu Maji and Peng Bai,
Journal of Material Chemistry A, 2023 (†equal contribution)
-
Long-term Analysis of Persistence and Size of Swallow and Martin Roosts in the US Great Lakes, Maria Carolina T. D. Belotti, Yuting Deng, Wenlong Zhao, Victoria F. Simons, Zezhou Cheng, Gustavo Perez, Elske Tielens, Subhransu Maji, Daniel Sheldon, Jeffrey F. Kelly, and Kyle G. Horton, Remote Sensing in Ecology and Conservation, 2023.
- Quantifying Long-term Phenological Patterns of Aerial Insectivores Roosting in the Great Lakes Region using Weather Surveillance Radar,
Yuting Deng, Maria Belotti, Wenlong Zhao, Zezhou Cheng, Gustavo Perez, Elske Tielens, Victoria Simons, Daniel Sheldon, Subhransu Maji, Jeffrey Kelly, Kyle Horton, Global Change Biology, 2023.
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,
NeurIPS 2022 AI for Science: Progress and Promises
- How Well Does CLIP Understand Texture?, Chenyun Wu and Subhransu Maji, CV in the Wild Workshop,
European Conference on Computer Vision (ECCV), 2022 | project page
-
MVDECOR: Multi-view Dense Correspondence
Learning for Fine-Grained 3D Segmentation, Gopal Sharma,
Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or
Litany, and Sanja Fidler, European Conference on Computer Vision (ECCV), 2022 | project page
-
Improving Few-Shot Part Segmentation using Coarse
Supervision, Oindrilla Saha, Zezhou Cheng, Subhransu
Maji, European Conference on Computer Vision (ECCV), 2022 | project page
-
Cross-Modal 3D Shape Generation and Manipulation,
Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle
Olszewski, Zeng Huang, Subhransu Maji, and Sergey Tulyakov, European Conference on Computer Vision
(ECCV), 2022 | project page
-
Dynamic Transformer for Few-shot Instance Segmentation,
Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-jakob Sonke,
Efstratios Gavves, ACM Multimedia, 2022
-
PriFit: Learning to Fit Primitives Improves Few Shot
Learning on Point Clouds, Gopal Sharma*, Bidya Dash*, Aruni
RoyChowdhury, Matheus Gadelha, Marios Loizou,
Liangliang Cao, Rui Wang, Erik Learned-Miller, Subhransu
Maji, and Evangelos Kalogerakis,
Eurographics Symposium on Geometry Processing (SGP), 2022 |
project page
-
Star Cluster Formation and Evolution in M101: An
Investigation with the Legacy Extragalactic UV Survey,
Sean Linden, Gustavo Perez, Daniela Calzetti, Subhransu Maji,
Matteo Messa, et al., The Astrophysical Journal (ApJ),
2022 |
project page
-
Domain
Adaptors for Hyperspectral Images,
Gustavo Perez, Subhransu Maji, International Conference on Pattern
Recognition (ICPR), 2022 |
project page,
bibtex
-
GANorCON: Are Generative Models Useful for Few-shot
Segmentation? Oindrila Saha, Zezhou Cheng, Subhransu
Maji, Computer Vision and Pattern Recognition (CVPR),
2022 |
project
page, code
-
On Measuring and Controlling the Spectral Bias of the Deep
Image Prior, Zenglin Shi, Pascal Mettes, Subhransu Maji,
Cees G. M. Snoek, International Journal on Computer Vision
(IJCV), 2022 |
webpage
2021
- Semi-Supervised Learning with
Taxonomic Labels, Jong-Chyi Su, Subhransu Maji,
British Machine Vision Conference (BMVC), 2021 |
code
-
On Equivariant and Invariant Learning of Object Landmark
Representations,
Zezhou Cheng, Jong-Chyi Su, Subhransu Maji,
International Conference on Computer Vision (ICCV),
2021 | website
-
AI for Conservation: Learning to Track Birds with Radar,
Zezhou Cheng, Subhransu Maji, Daniel Sheldon,
XRDS: Crossroads, The ACM Magazine for Students, 2021.
-
Deep Manifold Prior,
Matheus Gadelha, Rui Wang, Subhransu Maji,
VIPriors Workshop (ICCV), 2021
-
Shot in the Dark: Few-Shot Learning
with No Base-Class Labels, Zityan Chen, Subhransu Maji, Erik
Learned-Miller, Learning from Limited or Imperfect Data
(L2ID) Workshop, CVPR, 2021
-
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification,
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji,
Computer Vision and Pattern Recognition (CVPR), 2021
-
Exponential Moving Average Normalization
for Self-supervised and Semi-supervised Learning,
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes,
Zhowen Tu, Stefano Soatto, Computer Vision and Pattern Recognition (CVPR), 2021
-
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop,
Jong-Chyi Su, Subhransu Maji, arXiv:2106.01364, June
3, 2021 |
Kaggle,
Github page @ FGVC8 workshop
-
The Semi-Supervised iNaturalist-Aves Challenge at the FGVC7 Workshop,
Jong-Chyi Su, Subhransu Maji, arXiv:2103.06937, March
11, 2021 |
Kaggle,
Github page @ FGVC7 workshop
-
StarcNet:
Machine Learning for Star Cluster Classification,
Gustavo Perez, Matteo Messa, Daniela Calzetti, Subhransu Maji, Dooseok
Jung, Angela Adamo, Mattia Sirressi,
The Astrophysical Journal (ApJ), 2021 |
arXiv,
code,
bibtex
CICS Outstanding Synthesis Award
2020
-
Neural Shape Parsers for Constructive Solid
Geometry, Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji,
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),
December 2020 | journal page
-
Inferring
3D Shapes from Image Collections Using Adversarial
Networks, Matheus Gadelha, Aartika Rai, Subhransu Maji,
Rui Wang, International Journal of Computer Vision,
vol. 128, pp. 2651–2664, 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, EMLNP 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, European Conference
on Computer Vision (ECCV), 2020
-
ParSeNet:
A Parametric Surface Fitting Network for 3D Point Clouds,
Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis,
Siddhartha Chaudhuri, Radomír Měch,
European Conference on Computer Vision (ECCV), 2020 |
webpage
-
When Does Self-Supervision Improve Few-Shot Learning?,
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan, European
Conference on Computer Vision (ECCV), 2020 | webpage
-
Describing Textures using Natural Language, Chenyun Wu,
Mikayla Timm, Subhransu Maji, European Conference
on Computer Vision (ECCV),
2020| webpage
-
PhraseCut: Language-based Image Segmentation in the
Wild, Chenyun Wu, Trung Bai, Scott Cohen, Zhe Lin,
Subhransu Maji, Conference on Computer Vision and Pattern
Recognition (CVPR), 2020
-
Learning Generative Models of Shape Handles,
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomir Mech,
Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji,
Conference on Computer Vision and Pattern
Recognition (CVPR), 2020
-
Active Adversarial Domain Adaptation,
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu
Maji, Manmohan Chandraker, Winter Conference on
Applications of Computer Vision (WACV), 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,
Association for the Advancement of Artificial Intelligence (AAAI),
2020 (Social Impact Track), oral
presentation
|
supplementary,
project
page
2019
-
Phenology of Nocturnal Avian Migration has Shifted at the Continental
Scale, Kyle G. Horton, Frank A. La Sorte, Daniel Sheldon, Tsung-Yu
Lin, Kevin Winner, Garrett Bernstein, Subhransu Maji, Wesley
M. Hochachka, Andrew Farnsworth,
Nature Climate Change, December 2019 |
Press
-
MistNet: Measuring historical bird migration in the US using
archived weather radar data and convolutional neural
networks, Tsung‐Yu Lin, Kevin Winner, Garrett Bernstein,
Abhay Mittal, Adriaan M. Dokter, Kyle G. Horton, Cecilia
Nilsson, Benjamin M. Van Doren, Andrew Farnsworth, Frank A. La
Sorte, Subhransu Maji, Daniel Sheldon, Methods in Ecology and Evolution, August 2019 |
Journal
version,
Press @
phys.org,
cics,
others
2019 Robert May Early Career
Research Prize Shortlist | The Shortlist
-
Task2Vec: Task
Embedding for Meta-Learning,
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash
Ravichandran, Subhransu Maji, Charless Fowlkes, Stefano
Soatto, Pietro Perona, International Conference on Computer
Vision (ICCV), 2019
| bibtex, supplementary,
code
-
Shape Reconstruction using Differentiable Projections and
Deep Priors,
Matheus Gadelha, Rui Wang, Subhransu Maji,
International Conference on Computer
Vision (ICCV), 2019 |
bibtex
-
Learning Point Embeddings from Shape Repositories for Few-Shot
Segmentation,
Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji,
Proceedings of the International Conference on 3D Vision
(3DV), 2019 | bibtex, supplementary
-
DeepRoof: A Data-driven Approach For Solar Potential
Estimation Using Rootop Imagery,
Stephen Lee, Srinivasan Iyengar, Menghong Feng, Prashant Shenoy,
Subhransu Maji, SIGKDD Conference on Knowledge
Discovery and Data Mining (KDD),
2019
-
High Dimensional
Inference with Random Maximum A-Posteriori
Perturbations,
Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu
Maji, Tommi Jaakkola,
IEEE Transactions on Information Theory, 2019 |
bibtex,
IEEE
version
-
A Bayesian Perspective on
the Deep Image Prior,
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon,
Computer Vision and Pattern Recognition (CVPR), 2019 |
webpage,
supplementary, bibtex
-
Meta-Learning with Differentiable Convex
Optimization,
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano
Soatto,
Computer Vision and Pattern Recognition (CVPR),
2019|
bibtex, code
-
Migratory
flight on the Pacific Flyway: strategies and tendencies of
wind drift compensation,
Patrick B. Newcombe, Cecilia Nilsson, Tsung-Yu Lin, Kevin
Winner, Garrett Bernstein, Subhransu Maji, Daniel Sheldon, Andrew
Farnsworth and Kyle G. Horton. Biology Letters, 2019.
-
Visualizing and Describing Fine-grained Categories as
Textures,
Tsung-Yu Lin, Mikayla Timm, Chenyun Wu, Subhransu Maji,
The Sixth Fine-Grained Visual Categorization Workshop (FGVC6)
at CVPR 19
|
project
page,
poster
-
W!NCE: Unobtrusive Sensing of Upper Facial Action
Units with EOG-based Eyewear,
Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur
Rahman, Deepak Ganesan,
Proceedings of the ACM on Interactive, Mobile, Wearable and
Ubiquitous Technologies (UBICOMP), 2019
-
Random Feature Maps for the Itemset Kernel,
Kyohei Atarashi, Subhransu Maji, Satoshi Oyama,
Association for the Advancement of Artificial Intelligence
(AAAI), 2019 | bibtex
2018
-
Multiresolution Tree
Networks for 3D Point Cloud Processing,
Matheus Gadelha, Rui Wang, Subhransu Maji,
Proceedings of the European Conference on Computer Vision (ECCV), 2018 |
webpage,
bibtex,
code
-
Second-order
Democratic Aggregation,
Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz,
Proceedings of the European Conference on Computer Vision
(ECCV), 2018 |
webpage,
bibtex,
code
-
A Deeper Look at 3D
Shape Classifiers,
Jong-Chyi Su, Matheus Gahelda, Rui Wang, Subhransu Maji,
Second Workshop on 3D Reconstruction Meets Semantics, ECCV,
2018 |
webpage,
bibtex
-
VisemeNet:
Audio-Driven Animator-Centric Speech Animation,
Yang Zhou, Zhan Xu, Chris Landreth, Evangelos Kalogerakis,
Subhransu Maji, Karan Singh,
ACM Transactions on Graphics (also to be presented at SIGGRAPH
2018) |
webpage,
bibtex
-
CSGNet: Neural Shape Parser for Constructive Solid
Geometry,
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis,
Subhransu Maji,
Proceedings of the Computer Vision and Pattern Recognition
(CVPR), 2018 |
supplementary,
webpage,
bibtex
-
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 Computer Vision and Pattern Recognition (CVPR), 2018 |
supplementary,
video,
webpage,
bibtex.
Press @
CVPR,
NVIDIA,
Medium
Best paper
honorable mention (1 of 4 out of 979 papers)
-
Large-Scale Ecological Analyses of Animals in the Wild using Computer
Vision,
Mikayla Timm, Subhransu Maji, Todd Fuller,
Fine-Grained Visual Categorization Workshop (FGVC5) at CVPR
2018, extended abstract
2017
-
Reasoning about Fine-grained
Attribute Phrases using Reference Games,
Jong-Chyi Su*, Chenyun Wu*, Huaizu Jiang, Subhransu Maji,
International Conference on Computer Vision (ICCV), 2017
|
webpage,
bibtex
-
3D Shape Reconstruction from Sketches via Multi-view
Convolutional Networks,
Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis,
Subhransu Maji, Rui Wang,
International Conference on 3D Vision (3DV),
2017|
webpage,
bibtex
-
3D Shape Induction
from 2D Views of Multiple Objects,
Matheus Gadelha, Subhransu Maji, Rui Wang,
International Conference on 3D Vision (3DV), 2017 |
webpage
-
3D Shape Generation using
Spatially Ordered Point Clouds,
Matheus Gadhela, Subhransu Maji, Rui Wang,
British Machine Vision Conference (BMVC), 2017
-
Improved Bilinear Pooling
with CNNs,
Tsung Yu Lin, Subhransu Maji,
British Machine Vision Conference (BMVC),
2017
| webpage,
bibtex,
talk slides
-
Adapting Models to Signal
Degradation using Distillation,
Jong-Chyi Su, Subhransu Maji,
British Machine Vision Conference (BMVC), 2017 |
webpage,
bibtex
-
Bilinear
CNNs for Fine-grained Visual Recognition,
Tsung Yu Lin, Aruni RoyChowdhury, Subhransu Maji,
IEEE Transactions of Pattern Recognition and Machine
Intelligence (PAMI), 2017 |
webpage,
bibtex
-
3D Shape Segmentation with
Projective Convolutional Networks,
Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji,
Siddharth Chaudhuri,
Computer Vision and Pattern Recognition (CVPR),
2017|
webpage,
bibtex
- A
Taxonomy of Part and Attribute Discovery Techniques,
S. Maji, Visual Attributes, Springer, 2016,
D. Parikh, R. Feris and C. Lampert, Eds. |
published version,
bibtex
-
Texture Attribute Synthesis
and Transfer using Feed-forward CNNs,
Thomas Irmer, Tobias Glasmachers, Subhransu Maji
IEEE Winter Conference on Applications of Computer Vision
(WACV), 2017 |
talk
slides, poster
2016
-
Deep Filter Banks for Texture Recognition, Description, and
Segmentation,
Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Andrea
Vedaldi,
International Journal of Computer Vision (IJCV), 2016 |
journal page, webpage
-
Visualizing and
Understanding Deep Texture Representations,
Tsung-Yu Lin, Subhransu Maji,
Computer Vision and Pattern Recognition (CVPR), 2016 |
pdf,
arXiv,
webpage
+ poster at the Workshop on Visualization for Deep Learning at ICML, 2016
-
Jointly Learning
Multiple Perceptual Similarities,
Liwen Zhang, Subhransu Maji, Ryota Tomioka,
Multi-View Representation Learning Workshop (MVRL) at ICML,
2016 |
longer arXiv version
-
One-to-many Face Recognition with Bilinear CNNs,
Aruni RoyChowdhury, Tsung-Yu Lin, Subhransu Maji, and Erik
Learned-Miller,
IEEE Winter Conference on Applications of Computer Vision
(WACV), 2016 |
arXiv,
talk
slides
-
Perturbation Models and PAC-Bayesian Generalization
Bounds,
Joseph Keshet, Subhransu Maji, Tamir Hazan, Tommi Jaakkola,
Perturbations, Optimization, and Statistics, MIT
Press, 2016, T. Hazan, G. Papandreou, D. Tarlow, Eds. |
book chapter preprint, the entire book
-
Distinguishing Weather
Phenomena from Bird Migration Patterns in Radar
Imagery,
A. RoyChowdhury, D. Sheldon, S. Maji, and E. Learned-Miller,
IEEE Worksop on Perception Beyond the Visual Spectrum
(PBVS), 2016
-
SHREC’16 Track: Large-Scale 3D Shape Retrieval from ShapeNet Core55,
M. Savva, F. Yu, H. Su, M. Aono, B. Chen, D. Cohen-Or, W. Deng, H. Su, S. Bai, X. Bai, N. Fish,
J. Han, E. Kalogerakis, E. G. Learned-Miller, Y. Li,
M. Liao, S. Maji, A. Tatsuma, Y. Wang, N. Zhang, and
Z. Zhou,
In Eurographics Workshop on 3D Object Retrieval, J. Jorge
and M. Lin, editors, 2016 |
pdf,
webpage
(our submission was based on the MV-CNN approach, ICCV 2015)
2015
-
Bilinear CNN Models for Fine-grained Visual Recognition,
Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji,
International Conference on Computer Vision (ICCV),
2015|
talk slides,
webpage,
bibtex
+
ImageNet+COCO
workshop at ICCV 2015 keynote talk (slides)
+
Longer version of the talk presented at Microsoft Research (slides)
-
Multi-view Convolutional Neural Networks for 3D Shape
Recognition,
Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik Learned-Miller,
International Conference on Computer Vision (ICCV), 2015 |
webpage,
bibtex,
arXiv,
competetion
report
Winner of the
SHREC 2016 Large-Scale 3D Shape Retrieval Competition (normal
dataset)
-
Deep Filter Banks for Texture Recognition and Segmentation,
Mircea Cimpoi, Subhransu Maji, and Andrea Vedaldi,
Computer Vision and Pattern Recognition (CVPR),
2015|
code,
abstract,
talk video
Best poster
runner-up
at Scene Understanding Workshop (SUNw), CVPR 2015
-
Automatic Image Annotation using Deep Learning Representations,
Venkatesh N. Murthy, Subhransu Maji, and R. Manmatha,
International Conference on Multimedia Retrieval (ICMR), 2015
-
Learning Localized Perceptual
Similarity Metrics for Interactive Categorization,
Catherine Wah, Subhransu Maji, and Serge Belongie,
Winter Conference in Computer Vision (WACV), 2015,
Best paper award
2014
- Part and Attribute Discovery from
Relative Annotations,
Subhransu Maji, Gregory Shakhnarovich,
International Journal of Computer Vision (IJCV), 2014 |
journal
page
-
Knowing a Good HOG Filter
When You See It: Efficient Selection of Filters for
Detection,
Ejaz Ahmed, Gregory Shakhnarovich, and Subhransu Maji,
European Conference on Computer Vision (ECCV),
2014|
talk slides,
poster
- Parsing World's
Skylines using Shape Constrained MRFs,
Rashmi Tonge, Subhransu Maji, and C.V. Jawahar,
Computer Vision and Pattern Recognition (CVPR), 2014 |
webpage
-
Similarity Comparisons
for Interactive Fine-Grained Categorization,
Catherine Wah, Grant Van Horn, Steven Branson, Subhransu Maji, Pietro Perona, Serge Belongie,
Computer Vision and Pattern Recognition (CVPR), 2014 |
spotlight,
poster
-
Understanding Objects in Detail
with Fine-grained Attributes,
A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, B. Girshick,
J. Kannala, E. Rahtu, I. Kokkinos, M. B. Blaschko, D. Weiss,
B. Taskar, K. Simonyan, N. Saphra, and S. Mohamed,
Computer Vision and Pattern Recognition (CVPR), 2014 |
webpage
-
Describing Textures in the
Wild,
Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, and Andrea Vedaldi,
Computer Vision and Pattern Recognition (CVPR), 2014 |
webpage
-
Active Boundary Annotation using
Random MAP Perturbations,
Subhransu Maji, Tamir Hazan, Tommi Jaakkola,
Artificial Intelligence and Statistics (AISTATS), 2014 |
poster
2013
-
Efficient Classification for Additive Kernel SVMs,
Subhransu Maji, Alexander C. Berg, Jitendra Malik,
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2013
-
Learning Efficient Random Maximum
A-Posteriori Predictors with Non-Decomposable Loss Functions,
Tamir Hazan, Subhransu Maji, Jossi Keshet, Tommi Jaakkola,
Neural Information Processing Systems (NIPS), 2013 |
poster
-
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations,
Tamir Hazan, Subhransu Maji, Tommi Jaakkola,
Neural Information Processing Systems (NIPS), 2013 |
poster
-
Part Discovery from Partial
Correspondence,
Subhransu Maji and Gregory Shakhnarovich,
Computer Vision and Pattern Recognition (CVPR), 2013 |
poster
2012
-
Discovering a Lexicon of
Parts and Attributes,
Subhransu Maji,
Second International Workshop on Parts and Attributes,
ECCV, 2012 |
talk slides,
fgvc
workshop poster
Best poster
runner-up at
Fine Grained
Visual Categorization workshop (FGVC), 2013
-
Linearized Smooth Additive
Classifiers,
S. Maji,
Workshop on Web-scale Vision and Social Media, ECCV, 2012 |
code,
talk slides
-
Part Annotations via Pairwise Correspondence
S. Maji and G. Shakhnarovich,
4th Workshop on Human Computation, AAAI,
2012|
talk slides
2011
-
Describing People: A
Poselet-Based Approach to Attribute Classification,
Lubomir Bourdev, Subhransu Maji, and Jitendra Malik,
International Conference on Computer Vision (ICCV),
2011|
attribute annotations,
talk slides
-
Semantic Contours from Inverse
Detectors,
Bharath Hariharan, Pablo Arbelaez, Lubomir Bourdev, Subhransu Maji, and Jitendar Malik,
International Conference on Computer Vision (ICCV), 2011 |
semantic contour dataset
-
Action Recognition from a
Distributed Representation of Pose and Appearance,
Subhransu Maji, Lubomir Bourdev, and Jitendra Malik,
Computer Vision and Pattern Recognition (CVPR), 2011 |
poster,
pose estimation,
action classification
-
Biased Normalized Cuts,
Subhransu Maji, Nisheeth Vishnoi, and Jitendra Malik,
Computer Vision and Pattern Recognition (CVPR), 2011 |
webpage,
poster
-
Object Segmentation by Alignment of Poselet Activations to Image Contours,
Thomas Brox, Lubomir Bourdev, Subhransu Maji, and Jitendar Malik,
Computer Vision and Pattern Recognition (CVPR), 2011 |
poster
2010 and earlier
-
Detecting People Using
Mutually Consistent Poselet Activations,
Lubomir Bourdev, Subhransu Maji, Thomas Brox, and Jitendra Malik,
European Conference on Computer Vision (ECCV), 2010 |
webpage,
poster
-
Max-Margin Additive
Classifiers for Detection,
Subhransu Maji, Alexander C. Berg,
International Conference on Computer Vision (ICCV), 2009,
|
talk slides,
website,
code
-
Multiple-View Object Recognition in Band-Limited Distributed Camera Networks,
A.Y. Yang, S. Maji, M.C. Christoudias, T. Darrell, J. Malik, and
S.S. Sastry,
International Conference on Distributed Smart Cameras (ICDSC), 2009|
talk slides
-
Distributed Compression
and Fusion of Non-negative Sparse Signals for Multiple-view Object
Recognition,
A.Y. Yang, S. Maji, K. Hong, P. Yan, and S.S. Sastry,
International Conference on Information Fusion (ICIF), 2009
Best paper award
-
Object Detection Using a
Max-Margin Hough Transform,
Subhransu Maji, and Jitendra Malik,
Computer Vision and Pattern Recognition (CVPR), 2009|
talk slides
-
Classification using
Intersection Kernel Support Vector Machines is Efficient,
Subhransu Maji, Alexander C. Berg, Jitendra Malik,
Computer Vision and Pattern Recognition (CVPR), 2009 |
webpage
-
Fast Unsupervised
Alignment of Video and Text for Indexing/Names and Faces,
Subhransu Maji, Ruzena Bajscy,
Multimedia Semantics Workshop, ACM Multimedia, 2007
-
Confidence Based updation of
Motion Conspicuity in Dynamic Scenes,
V.K. Singh, S. Maji, A. Mukerjee,
Conference on Computer and Robot Vision (CRV), 2006
Older preprints and techreports
-
Fine-Grained Visual
Classification of Aircraft,
S. Maji, E. Rahtu, J. Kannala, M. Blaschko and
A. Vedaldi, arXiv:1306.5151, June 2013 |
FGVC workshop poster,
webpage
+ This dataset was part of FGCOMP 2013
-
Large
Scale Image Annotations on Amazon Mechanical Turk,
Subhransu Maji, UC Berkeley, Tech. Rep. UCB/EECS-2011-79,
2011 |
webpage
-
Fast
and Accurate Digit Classification,
Subhransu Maji and Jitendra Malik,
UC Berkeley, Tech. Rep. UCB/EECS-2009-159, 2009 |
webpage
Thesis
- Algorithms and Representations for Visual Recognition,
Subhransu Maji, Ph.D. Thesis, Computer Science Division,
University of California at Berkeley, Dec. 2011 |
webpage
- Graph Classification: Applications in ChemoInformatics,
Subhransu Maji, Undergraduate Thesis, Computer Science and
Engineering Department, IIT Kanpur, May 2006 |
pdf
