default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSubhransu Maji
Person information
- affiliation: University of Massachusetts, Amherst, MA, USA
SPARQL queries 
🛈 Please note that only 60% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c86]Gustavo Pérez, Subhransu Maji, Daniel Sheldon:
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling. AAAI 2024: 22294-22302- [c85]Oindrila Saha, Grant Van Horn, Subhransu Maji:
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CVPR 2024: 17542-17552 - [c84]Rangel Daroya, Aaron Sun, Subhransu Maji:
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships. CVPR 2024: 28827-28837 - [c83]Gustavo Pérez
, Daniel Sheldon, Grant Van Horn, Subhransu Maji:
Human-in-the-Loop Visual Re-ID for Population Size Estimation. ECCV (38) 2024: 185-202 - [i70]Oindrila Saha, Grant Van Horn, Subhransu Maji:
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CoRR abs/2401.02460 (2024) - [i69]Rangel Daroya, Aaron Sun, Subhransu Maji:
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships. CoRR abs/2403.17173 (2024) - [i68]Yuefeng Peng, Jaechul Roh, Subhransu Maji, Amir Houmansadr:
OSLO: One-Shot Label-Only Membership Inference Attacks. CoRR abs/2405.16978 (2024) - 2023
- [c82]Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia:
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. ICCV 2023: 18266-18275 - [c81]Rangel Daroya, Aaron Sun, Subhransu Maji:
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification. ICCV (Workshops) 2023: 149-158 - [c80]Oindrila Saha, Subhransu Maji:
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition. ICCV (Workshops) 2023: 167-176 - [c79]Zezhou Cheng, Matheus Gadelha, Subhransu Maji:
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. ICCV (Workshops) 2023: 2105-2114 - [i67]Gustavo Pérez, Subhransu Maji, Daniel Sheldon:
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling. CoRR abs/2306.03151 (2023) - [i66]Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia:
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. CoRR abs/2306.05410 (2023) - [i65]Rangel Daroya, Aaron Sun, Subhransu Maji:
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification. CoRR abs/2309.10989 (2023) - [i64]Oindrila Saha, Subhransu Maji:
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition. CoRR abs/2309.13822 (2023) - [i63]Gustavo Pérez, Daniel Sheldon, Grant Van Horn, Subhransu Maji:
Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling. CoRR abs/2312.05287 (2023) - 2022
- [j12]Gopal Sharma, Bidya Dash, Aruni Roy Chowdhury, Matheus Gadelha, Marios Loizou, Liangliang Cao, Rui Wang, Erik G. Learned-Miller, Subhransu Maji, Evangelos Kalogerakis:
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. Comput. Graph. Forum 41(5): 39-50 (2022) - [j11]Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek:
On Measuring and Controlling the Spectral Bias of the Deep Image Prior. Int. J. Comput. Vis. 130(4): 885-908 (2022) - [j10]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
Neural Shape Parsers for Constructive Solid Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2628-2640 (2022) - [c78]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CVPR 2022: 9981-9990 - [c77]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
Improving Few-Shot Part Segmentation Using Coarse Supervision. ECCV (30) 2022: 283-299 - [c76]Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov:
Cross-modal 3D Shape Generation and Manipulation. ECCV (3) 2022: 303-321 - [c75]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation. ECCV (2) 2022: 550-567 - [c74]Gustavo Pérez, Subhransu Maji:
Domain Adaptors for Hyperspectral Images. ICPR 2022: 3048-3055 - [c73]Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Transformer for Few-shot Instance Segmentation. ACM Multimedia 2022: 2969-2977 - [i62]Chenyun Wu, Subhransu Maji:
Leveraging Textures in Zero-shot Understanding of Fine-Grained Domains. CoRR abs/2203.11449 (2022) - [i61]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
Improving Few-Shot Part Segmentation using Coarse Supervision. CoRR abs/2204.05393 (2022) - [i60]Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov:
Cross-Modal 3D Shape Generation and Manipulation. CoRR abs/2207.11795 (2022) - [i59]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. CoRR abs/2208.08580 (2022) - [i58]Zezhou Cheng, Matheus Gadelha, Subhransu Maji:
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. CoRR abs/2212.06300 (2022) - 2021
- [j9]Zezhou Cheng, Subhransu Maji, Daniel Sheldon:
AI for conservation: learning to track birds with radar. XRDS 27(4): 26-29 (2021) - [c72]Jong-Chyi Su, Subhransu Maji:
Semi-Supervised Learning with Taxonomic Labels. BMVC 2021: 129 - [c71]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. CVPR 2021: 194-203 - [c70]Zitian Chen, Subhransu Maji, Erik G. Learned-Miller:
Shot in the Dark: Few-Shot Learning With No Base-Class Labels. CVPR Workshops 2021: 2668-2677 - [c69]Jong-Chyi Su, Zezhou Cheng, Subhransu Maji:
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CVPR 2021: 12966-12975 - [c68]Zezhou Cheng, Jong-Chyi Su, Subhransu Maji:
On Equivariant and Invariant Learning of Object Landmark Representations. ICCV 2021: 9877-9886 - [c67]Matheus Gadelha, Rui Wang, Subhransu Maji:
Deep Manifold Prior. ICCVW 2021: 1107-1116 - [e1]Rama Chellappa, Santanu Chaudhury, Chetan Arora, Parag Chaudhuri, Subhransu Maji:
ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19 - 22, 2021. ACM 2021, ISBN 978-1-4503-7596-2 [contents] - [i57]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR abs/2101.08482 (2021) - [i56]Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Revisiting Contrastive Learning for Few-Shot Classification. CoRR abs/2101.11058 (2021) - [i55]Jong-Chyi Su, Subhransu Maji:
The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop. CoRR abs/2103.06937 (2021) - [i54]Jong-Chyi Su, Zezhou Cheng, Subhransu Maji:
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CoRR abs/2104.00679 (2021) - [i53]Jong-Chyi Su, Subhransu Maji:
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop. CoRR abs/2106.01364 (2021) - [i52]Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek:
On Measuring and Controlling the Spectral Bias of the Deep Image Prior. CoRR abs/2107.01125 (2021) - [i51]Gustavo Pérez, Subhransu Maji:
Domain Adaptor Networks for Hyperspectral Image Recognition. CoRR abs/2108.01555 (2021) - [i50]Jong-Chyi Su, Subhransu Maji:
Semi-Supervised Learning with Taxonomic Labels. CoRR abs/2111.11595 (2021) - [i49]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CoRR abs/2112.00854 (2021) - [i48]Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. CoRR abs/2112.13942 (2021) - 2020
- [j8]Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang:
Inferring 3D Shapes from Image Collections Using Adversarial Networks. Int. J. Comput. Vis. 128(10): 2651-2664 (2020) - [c66]Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler:
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. AAAI 2020: 378-385 - [c65]Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji:
Learning Generative Models of Shape Handles. CVPR 2020: 399-408 - [c64]Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji:
PhraseCut: Language-Based Image Segmentation in the Wild. CVPR 2020: 10213-10222 - [c63]Chenyun Wu, Mikayla Timm, Subhransu Maji:
Describing Textures Using Natural Language. ECCV (1) 2020: 52-70 - [c62]Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Mech:
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. ECCV (7) 2020: 261-276 - [c61]Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. ECCV (10) 2020: 473-491 - [c60]Jong-Chyi Su, Subhransu Maji, Bharath Hariharan:
When Does Self-supervision Improve Few-Shot Learning? ECCV (7) 2020: 645-666 - [c59]Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. EMNLP (1) 2020: 7882-7926 - [c58]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. WACV 2020: 728-737 - [i47]Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech:
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. CoRR abs/2003.12181 (2020) - [i46]Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. CoRR abs/2003.13834 (2020) - [i45]Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji:
Learning Generative Models of Shape Handles. CoRR abs/2004.03028 (2020) - [i44]Matheus Gadelha, Rui Wang, Subhransu Maji:
Deep Manifold Prior. CoRR abs/2004.04242 (2020) - [i43]Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler:
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. CoRR abs/2004.12819 (2020) - [i42]Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. CoRR abs/2005.00770 (2020) - [i41]Zezhou Cheng, Jong-Chyi Su, Subhransu Maji:
Unsupervised Discovery of Object Landmarks via Contrastive Learning. CoRR abs/2006.14787 (2020) - [i40]Chenyun Wu, Mikayla Timm, Subhransu Maji:
Describing Textures using Natural Language. CoRR abs/2008.01180 (2020) - [i39]Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji:
PhraseCut: Language-based Image Segmentation in the Wild. CoRR abs/2008.01187 (2020) - [i38]Zitian Chen, Subhransu Maji, Erik G. Learned-Miller:
Shot in the Dark: Few-Shot Learning with No Base-Class Labels. CoRR abs/2010.02430 (2020) - [i37]Gustavo Pérez, Matteo Messa, Daniela Calzetti, Subhransu Maji, Dooseok Jung, Angela Adamo, Mattia Siressi:
StarcNet: Machine Learning for Star Cluster Identification. CoRR abs/2012.09327 (2020)
2010 – 2019
- 2019
- [j7]Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, Deepak Ganesan:
W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 23:1-23:26 (2019) - [j6]Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola:
High Dimensional Inference With Random Maximum A-Posteriori Perturbations. IEEE Trans. Inf. Theory 65(10): 6539-6560 (2019) - [c57]Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji:
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. 3DV 2019: 67-75 - [c56]Kyohei Atarashi, Subhransu Maji, Satoshi Oyama:
Random Feature Maps for the Itemset Kernel. AAAI 2019: 3199-3206 - [c55]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. CVPR Workshops 2019: 1-4 - [c54]Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon:
A Bayesian Perspective on the Deep Image Prior. CVPR 2019: 5443-5451 - [c53]Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto:
Meta-Learning With Differentiable Convex Optimization. CVPR 2019: 10657-10665 - [c52]Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, Deepak Ganesan:
W!NCE: eyewear solution for upper face action units monitoring. ETRA 2019: 63:1-63:3 - [c51]Matheus Gadelha, Rui Wang, Subhransu Maji:
Shape Reconstruction Using Differentiable Projections and Deep Priors. ICCV 2019: 22-30 - [c50]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. ICCV 2019: 6429-6438 - [c49]Stephen Lee, Srinivasan Iyengar, Menghong Feng, Prashant J. Shenoy, Subhransu Maji:
DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery. KDD 2019: 2105-2113 - [i36]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. CoRR abs/1902.03545 (2019) - [i35]Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto:
Meta-Learning with Differentiable Convex Optimization. CoRR abs/1904.03758 (2019) - [i34]Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon:
A Bayesian Perspective on the Deep Image Prior. CoRR abs/1904.07457 (2019) - [i33]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. CoRR abs/1904.07848 (2019) - [i32]Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang:
Inferring 3D Shapes from Image Collections using Adversarial Networks. CoRR abs/1906.04910 (2019) - [i31]Jong-Chyi Su, Subhransu Maji, Bharath Hariharan:
Boosting Supervision with Self-Supervision for Few-shot Learning. CoRR abs/1906.07079 (2019) - [i30]Tsung-Yu Lin, Mikayla Timm, Chenyun Wu, Subhransu Maji:
Visualizing and Describing Fine-grained Categories as Textures. CoRR abs/1907.05288 (2019) - [i29]Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji:
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. CoRR abs/1910.01269 (2019) - [i28]Jong-Chyi Su, Subhransu Maji, Bharath Hariharan:
When Does Self-supervision Improve Few-shot Learning? CoRR abs/1910.03560 (2019) - [i27]Prithvijit Chakrabarty, Subhransu Maji:
The Spectral Bias of the Deep Image Prior. CoRR abs/1912.08905 (2019) - [i26]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
Neural Shape Parsers for Constructive Solid Geometry. CoRR abs/1912.11393 (2019) - 2018
- [j5]Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji:
Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1309-1322 (2018) - [j4]Yang Zhou, Zhan Xu, Chris Landreth, Evangelos Kalogerakis, Subhransu Maji, Karan Singh:
Visemenet: audio-driven animator-centric speech animation. ACM Trans. Graph. 37(4): 161 (2018) - [c48]Mikayla Timm, Subhransu Maji, Todd Fuller:
Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision. CVPR Workshops 2018: 1896-1898 - [c47]Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CVPR 2018: 2530-2539 - [c46]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CVPR 2018: 5515-5523 - [c45]Matheus Gadelha, Rui Wang, Subhransu Maji:
Multiresolution Tree Networks for 3D Point Cloud Processing. ECCV (7) 2018: 105-122 - [c44]Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz:
Second-Order Democratic Aggregation. ECCV (3) 2018: 639-656 - [c43]Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji:
A Deeper Look at 3D Shape Classifiers. ECCV Workshops (3) 2018: 645-661 - [i25]Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CoRR abs/1802.08275 (2018) - [i24]Yang Zhou, Shan Xu, Chris Landreth, Evangelos Kalogerakis, Subhransu Maji, Karan Singh:
VisemeNet: Audio-Driven Animator-Centric Speech Animation. CoRR abs/1805.09488 (2018) - [i23]Matheus Gadelha, Rui Wang, Subhransu Maji:
Multiresolution Tree Networks for 3D Point Cloud Processing. CoRR abs/1807.03520 (2018) - [i22]Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz:
Second-order Democratic Aggregation. CoRR abs/1808.07503 (2018) - [i21]Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji:
A Deeper Look at 3D Shape Classifiers. CoRR abs/1809.02560 (2018) - 2017
- [c42]Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang:
3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. 3DV 2017: 67-77 - [c41]Matheus Gadelha, Subhransu Maji, Rui Wang:
3D Shape Induction from 2D Views of Multiple Objects. 3DV 2017: 402-411 - [c40]Matheus Gadelha, Subhransu Maji, Rui Wang:
Shape Generation using Spatially Partitioned Point Clouds. BMVC 2017 - [c39]Tsung-Yu Lin, Subhransu Maji:
Improved Bilinear Pooling with CNNs. BMVC 2017 - [c38]Jong-Chyi Su, Subhransu Maji:
Adapting Models to Signal Degradation using Distillation. BMVC 2017 - [c37]Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri:
3D Shape Segmentation with Projective Convolutional Networks. CVPR 2017: 6630-6639 - [c36]Jong-Chyi Su, Chenyun Wu, Huaizu Jiang, Subhransu Maji:
Reasoning About Fine-Grained Attribute Phrases Using Reference Games. ICCV 2017: 418-427 - [c35]Thomas Irmer, Tobias Glasmachers, Subhransu Maji:
Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs. WACV 2017: 852-861 - [i20]Matheus Gadelha, Subhransu Maji, Rui Wang:
Shape Generation using Spatially Partitioned Point Clouds. CoRR abs/1707.06267 (2017) - [i19]Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang:
3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. CoRR abs/1707.06375 (2017) - [i18]Tsung-Yu Lin, Subhransu Maji:
Improved Bilinear Pooling with CNNs. CoRR abs/1707.06772 (2017) - [i17]Jong-Chyi Su, Chenyun Wu, Huaizu Jiang, Subhransu Maji:
Reasoning about Fine-grained Attribute Phrases using Reference Games. CoRR abs/1708.08874 (2017) - [i16]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CoRR abs/1712.08290 (2017) - 2016
- [j3]Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Andrea Vedaldi:
Deep Filter Banks for Texture Recognition, Description, and Segmentation. Int. J. Comput. Vis. 118(1): 65-94 (2016) - [c34]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:
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2016 - [c33]Aruni Roy Chowdhury, Daniel Sheldon, Subhransu Maji, Erik G. Learned-Miller:
Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery. CVPR Workshops 2016: 276-283 - [c32]Tsung-Yu Lin, Subhransu Maji:
Visualizing and Understanding Deep Texture Representations. CVPR 2016: 2791-2799 - [c31]Aruni Roy Chowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller:
One-to-many face recognition with bilinear CNNs. WACV 2016: 1-9 - [i15]Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola:
High Dimensional Inference with Random Maximum A-Posteriori Perturbations. CoRR abs/1602.03571 (2016) - [i14]Jong-Chyi Su, Subhransu Maji:
Cross Quality Distillation. CoRR abs/1604.00433 (2016) - [i13]Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri:
3D Shape Segmentation with Projective Convolutional Networks. CoRR abs/1612.02808 (2016) - [i12]Matheus Gadelha, Subhransu Maji, Rui Wang:
3D Shape Induction from 2D Views of Multiple Objects. CoRR abs/1612.05872 (2016) - 2015
- [c30]Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi:
Deep filter banks for texture recognition and segmentation. CVPR 2015: 3828-3836 - [c29]Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller:
Multi-view Convolutional Neural Networks for 3D Shape Recognition. ICCV 2015: 945-953 - [c28]Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji:
Bilinear CNN Models for Fine-Grained Visual Recognition. ICCV 2015: 1449-1457 - [c27]Venkatesh N. Murthy, Subhransu Maji, R. Manmatha:
Automatic Image Annotation using Deep Learning Representations. ICMR 2015: 603-606 - [c26]Catherine Wah, Subhransu Maji, Serge J. Belongie:
Learning Localized Perceptual Similarity Metrics for Interactive Categorization. WACV 2015: 502-509 - [i11]Liwen Zhang, Subhransu Maji, Ryota Tomioka:
Jointly Learning Multiple Perceptual Similarities. CoRR abs/1503.01521 (2015) - [i10]Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji:
Bilinear CNN Models for Fine-grained Visual Recognition. CoRR abs/1504.07889 (2015) - [i9]Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller:
Multi-view Convolutional Neural Networks for 3D Shape Recognition. CoRR abs/1505.00880 (2015) - [i8]Aruni RoyChowdhury, Tsung-Yu Lin, Subhransu Maji, Erik G. Learned-Miller:
Face Identification with Bilinear CNNs. CoRR abs/1506.01342 (2015) - [i7]Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Andrea Vedaldi:
Deep filter banks for texture recognition, description, and segmentation. CoRR abs/1507.02620 (2015) - [i6]Tsung-Yu Lin, Subhransu Maji:
Visualizing and Understanding Deep Texture Representations. CoRR abs/1511.05197 (2015) - 2014
- [j2]Subhransu Maji, Gregory Shakhnarovich:
Part and Attribute Discovery from Relative Annotations. Int. J. Comput. Vis. 108(1-2): 82-96 (2014) - [c25]Subhransu Maji, Tamir Hazan, Tommi S. Jaakkola:
Active Boundary Annotation using Random MAP Perturbations. AISTATS 2014: 604-613 - [c24]Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge J. Belongie:
Similarity Comparisons for Interactive Fine-Grained Categorization. CVPR 2014: 859-866 - [c23]Rashmi Vilas Tonge, Subhransu Maji, C. V. Jawahar:
Parsing World's Skylines Using Shape-Constrained MRFs. CVPR 2014: 3174-3181 - [c22]Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, Andrea Vedaldi:
Describing Textures in the Wild. CVPR 2014: 3606-3613 - [c21]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:
Understanding Objects in Detail with Fine-Grained Attributes. CVPR 2014: 3622-3629 - [c20]Ejaz Ahmed, Gregory Shakhnarovich, Subhransu Maji:
Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection. ECCV (1) 2014: 80-94 - [i5]Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi:
Deep convolutional filter banks for texture recognition and segmentation. CoRR abs/1411.6836 (2014) - 2013
- [j1]Subhransu Maji, Alexander C. Berg, Jitendra Malik:
Efficient Classification for Additive Kernel SVMs. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 66-77 (2013) - [c19]Subhransu Maji, Gregory Shakhnarovich:
Part Discovery from Partial Correspondence. CVPR 2013: 931-938 - [c18]Tamir Hazan, Subhransu Maji, Tommi S. Jaakkola:
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations. NIPS 2013: 1268-1276 - [c17]Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi S. Jaakkola:
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions. NIPS 2013: 1887-1895 - [i4]Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew B. Blaschko, Andrea Vedaldi:
Fine-Grained Visual Classification of Aircraft. CoRR abs/1306.5151 (2013) - [i3]Tamir Hazan, Subhransu Maji, Tommi S. Jaakkola:
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations. CoRR abs/1309.7598 (2013) - [i2]Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, Andrea Vedaldi:
Describing Textures in the Wild. CoRR abs/1311.3618 (2013) - 2012
- [c16]Subhransu Maji:
Discovering a Lexicon of Parts and Attributes. ECCV Workshops (3) 2012: 21-30 - [c15]Subhransu Maji:
Linearized Smooth Additive Classifiers. ECCV Workshops (1) 2012: 239-248 - [c14]Subhransu Maji, Gregory Shakhnarovich:
Part Annotations via Pairwise Correspondence. HCOMP@AAAI 2012 - 2011
- [b1]Subhransu Maji:
Algorithms and Representations for Visual Recognition. University of California, Berkeley, USA, 2011 - [c13]Subhransu Maji, Nisheeth K. Vishnoi, Jitendra Malik:
Biased normalized cuts. CVPR 2011: 2057-2064 - [c12]Thomas Brox, Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik:
Object segmentation by alignment of poselet activations to image contours. CVPR 2011: 2225-2232 - [c11]Subhransu Maji, Lubomir D. Bourdev, Jitendra Malik:
Action recognition from a distributed representation of pose and appearance. CVPR 2011: 3177-3184 - [c10]Bharath Hariharan, Pablo Arbeláez, Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik:
Semantic contours from inverse detectors. ICCV 2011: 991-998 - [c9]Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik:
Describing people: A poselet-based approach to attribute classification. ICCV 2011: 1543-1550 - [i1]Subhransu Maji:
Linearized Additive Classifiers. CoRR abs/1110.0879 (2011) - 2010
- [c8]Lubomir D. Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik:
Detecting People Using Mutually Consistent Poselet Activations. ECCV (6) 2010: 168-181
2000 – 2009
- 2009
- [c7]Subhransu Maji, Jitendra Malik:
Object detection using a max-margin Hough transform. CVPR 2009: 1038-1045 - [c6]Allen Y. Yang, Subhransu Maji, Kirak Hong, Posu Yan, S. Shankar Sastry:
Distributed compression and fusion of nonnegative sparse signals for multiple-view object recognition. FUSION 2009: 1867-1874 - [c5]Subhransu Maji, Alexander C. Berg:
Max-margin additive classifiers for detection. ICCV 2009: 40-47 - [c4]Allen Y. Yang, Subhransu Maji, C. Mario Christoudias, Trevor Darrell, Jitendra Malik, S. Shankar Sastry:
Multiple-view object recognition in band-limited distributed camera networks. ICDSC 2009: 1-8 - 2008
- [c3]Subhransu Maji, Alexander C. Berg, Jitendra Malik:
Classification using intersection kernel support vector machines is efficient. CVPR 2008 - 2007
- [c2]Subhransu Maji, Ruzena Bajcsy:
Fast unsupervised alignment of video and text for indexing/names and faces. MS 2007: 57-64 - 2006
- [c1]Vivek Kumar Singh, Subhransu Maji, Amitabha Mukerjee:
Confidence Based updation of Motion Conspicuity in Dynamic Scenes. CRV 2006: 13
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 20:13 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
