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Subhransu Maji
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- affiliation: University of Massachusetts, Amherst, MA, USA
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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]