Subhransu Maji

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 130

Top Venues

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Oindrila Saha, Grant Van Horn, Subhransu Maji
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CoRR (2024)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. ICCV (Workshops) (2023)
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 (2023)
Rangel Daroya, Aaron Sun, Subhransu Maji
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification. CoRR (2023)
Oindrila Saha, Subhransu Maji
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition. CoRR (2023)
Oindrila Saha, Subhransu Maji
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition. ICCV (Workshops) (2023)
Gustavo Pérez, Subhransu Maji, Daniel Sheldon
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling. CoRR (2023)
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)
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. CoRR (2023)
Rangel Daroya, Aaron Sun, Subhransu Maji
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification. ICCV (Workshops) (2023)
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)
Gustavo Pérez, Subhransu Maji
Domain Adaptors for Hyperspectral Images. ICPR (2022)
Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Transformer for Few-shot Instance Segmentation. ACM Multimedia (2022)
Oindrila Saha, Zezhou Cheng, Subhransu Maji
Improving Few-Shot Part Segmentation Using Coarse Supervision. ECCV (30) (2022)
Oindrila Saha, Zezhou Cheng, Subhransu Maji
Improving Few-Shot Part Segmentation using Coarse Supervision. CoRR (2022)
Oindrila Saha, Zezhou Cheng, Subhransu Maji
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CVPR (2022)
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)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. CoRR (2022)
Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. CoRR (2022)
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 (2022)
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) (2022)
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) (2022)
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) (2022)
Chenyun Wu, Subhransu Maji
Leveraging Textures in Zero-shot Understanding of Fine-Grained Domains. CoRR (2022)
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 (2021)
Zezhou Cheng, Subhransu Maji, Daniel Sheldon
AI for conservation: learning to track birds with radar. XRDS 27 (4) (2021)
Matheus Gadelha, Rui Wang, Subhransu Maji
Deep Manifold Prior. ICCVW (2021)
Jong-Chyi Su, Subhransu Maji
The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop. CoRR (2021)
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CVPR (2021)
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 (2021)
Jong-Chyi Su, Subhransu Maji
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop. CoRR (2021)
Jong-Chyi Su, Subhransu Maji
Semi-Supervised Learning with Taxonomic Labels. CoRR (2021)
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CoRR (2021)
Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto
Revisiting Contrastive Learning for Few-Shot Classification. CoRR (2021)
Jong-Chyi Su, Subhransu Maji
Semi-Supervised Learning with Taxonomic Labels. BMVC (2021)
Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek
On Measuring and Controlling the Spectral Bias of the Deep Image Prior. CoRR (2021)
Oindrila Saha, Zezhou Cheng, Subhransu Maji
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CoRR (2021)
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)
Zitian Chen, Subhransu Maji, Erik G. Learned-Miller
Shot in the Dark: Few-Shot Learning With No Base-Class Labels. CVPR Workshops (2021)
Zezhou Cheng, Jong-Chyi Su, Subhransu Maji
On Equivariant and Invariant Learning of Object Landmark Representations. ICCV (2021)
Gustavo Perez, Subhransu Maji
Domain Adaptor Networks for Hyperspectral Image Recognition. CoRR (2021)
Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. CoRR (2020)
Zezhou Cheng, Jong-Chyi Su, Subhransu Maji
Unsupervised Discovery of Object Landmarks via Contrastive Learning. CoRR (2020)
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 (2020)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. WACV (2020)
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)
Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji
PhraseCut: Language-Based Image Segmentation in the Wild. CVPR (2020)
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
Learning Generative Models of Shape Handles. CVPR (2020)
Zitian Chen, Subhransu Maji, Erik G. Learned-Miller
Shot in the Dark: Few-Shot Learning with No Base-Class Labels. CoRR (2020)
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)
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
Learning Generative Models of Shape Handles. CoRR (2020)
Matheus Gadelha, Rui Wang, Subhransu Maji
Deep Manifold Prior. CoRR (2020)
Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang
Inferring 3D Shapes from Image Collections Using Adversarial Networks. Int. J. Comput. Vis. 128 (10) (2020)
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 (2020)
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)
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan
When Does Self-supervision Improve Few-Shot Learning? ECCV (7) (2020)
Chenyun Wu, Mikayla Timm, Subhransu Maji
Describing Textures Using Natural Language. ECCV (1) (2020)
Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji
PhraseCut: Language-based Image Segmentation in the Wild. CoRR (2020)
Gustavo Perez, Matteo Messa, Daniela Calzetti, Subhransu Maji, Dooseok Jung, Angela Adamo, Mattia Siressi
StarcNet: Machine Learning for Star Cluster Identification. CoRR (2020)
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)
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 (2020)
Chenyun Wu, Mikayla Timm, Subhransu Maji
Describing Textures using Natural Language. CoRR (2020)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
Neural Shape Parsers for Constructive Solid Geometry. CoRR (2019)
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan
When Does Self-supervision Improve Few-shot Learning? CoRR (2019)
Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. CoRR (2019)
Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, Deepak Ganesan
W!NCE: eyewear solution for upper face action units monitoring. ETRA (2019)
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
Task2Vec: Task Embedding for Meta-Learning. CoRR (2019)
Matheus Gadelha, Rui Wang, Subhransu Maji
Shape Reconstruction Using Differentiable Projections and Deep Priors. ICCV (2019)
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto
Meta-Learning with Differentiable Convex Optimization. CoRR (2019)
Prithvijit Chakrabarty, Subhransu Maji
The Spectral Bias of the Deep Image Prior. CoRR (2019)
Kyohei Atarashi, Subhransu Maji, Satoshi Oyama
Random Feature Maps for the Itemset Kernel. AAAI (2019)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. CVPR Workshops (2019)
Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang
Inferring 3D Shapes from Image Collections using Adversarial Networks. CoRR (2019)
Tsung-Yu Lin, Mikayla Timm, Chenyun Wu, Subhransu Maji
Visualizing and Describing Fine-grained Categories as Textures. CoRR (2019)
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)
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) (2019)
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto
Meta-Learning With Differentiable Convex Optimization. CVPR (2019)
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) (2019)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
A Bayesian Perspective on the Deep Image Prior. CoRR (2019)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. CoRR (2019)
Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. 3DV (2019)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
A Bayesian Perspective on the Deep Image Prior. CVPR (2019)
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan
Boosting Supervision with Self-Supervision for Few-shot Learning. CoRR (2019)
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)
Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji
Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40 (6) (2018)
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CoRR (2018)
Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji
A Deeper Look at 3D Shape Classifiers. ECCV Workshops (3) (2018)
Yang Zhou, Shan Xu, Chris Landreth, Evangelos Kalogerakis, Subhransu Maji, Karan Singh
VisemeNet: Audio-Driven Animator-Centric Speech Animation. CoRR (2018)
Matheus Gadelha, Rui Wang, Subhransu Maji
Multiresolution Tree Networks for 3D Point Cloud Processing. ECCV (7) (2018)
Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji
A Deeper Look at 3D Shape Classifiers. CoRR (2018)
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)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CVPR (2018)
Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz
Second-order Democratic Aggregation. CoRR (2018)
Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz
Second-Order Democratic Aggregation. ECCV (3) (2018)
Yang Zhou, Zhan Xu, Chris Landreth, Evangelos Kalogerakis, Subhransu Maji, Karan Singh
Visemenet: audio-driven animator-centric speech animation. ACM Trans. Graph. 37 (4) (2018)
Mikayla Timm, Subhransu Maji, Todd Fuller
Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision. CVPR Workshops (2018)
Matheus Gadelha, Rui Wang, Subhransu Maji
Multiresolution Tree Networks for 3D Point Cloud Processing. CoRR (2018)
Jong-Chyi Su, Subhransu Maji
Adapting Models to Signal Degradation using Distillation. BMVC (2017)
Matheus Gadelha, Subhransu Maji, Rui Wang
Shape Generation using Spatially Partitioned Point Clouds. CoRR (2017)
Jong-Chyi Su, Chenyun Wu, Huaizu Jiang, Subhransu Maji
Reasoning About Fine-Grained Attribute Phrases Using Reference Games. ICCV (2017)

Subhransu Maji.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Subhransu Maji