← Authors

Subhransu Maji

54 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (3) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸƒ Academic Marathon (13) 🀝 Dynamic Duo (10) πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (14) πŸš€ Conference Pioneer ⚑ Prolific Year (7) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (230) πŸ’Ž Century Club (53)

Conferences

CVPR (19) ECCV (10) ICCV (10) NIPS (5) AAAI (4) WACV (3) AISTATS (1) EMNLP (1) ICML (1)

Top co-authors

Grant Van Horn (10) Zezhou Cheng (8) Evangelos Kalogerakis (7) Jong-Chyi Su (5) Matheus Gadelha (5) Daniel Sheldon (5) Oindrila Saha (5) Gopal Sharma (4) Rangel Daroya (4) Rui Wang (4)

Research topics

Privacy (1)

Keywords

transfer learning (7) representation learning (4) convolutional neural network (4) active learning (4) semantic segmentation (3) image segmentation (3) satellite imagery (3) self-supervised learning (3) contrastive learning (3) object detection (3) texture recognition (3) landmark detection (2) zero-shot learning (2) fine-grained classification (2) map inference (2) image classification (2) bayesian inference (2) stochastic gradient (2) 3d shape generation (2) semi-supervised learning (2)

Papers

You May Speak Freely: Improving the Fine-Grained Visual Recognition Capabilities of Multimodal Large Language Models with Answer Extraction WACV 2026
SuperRivolution: Fine-Scale Rivers from Coarse Temporal Satellite Imagery WACV 2026
RiverScope: High-Resolution River Masking Dataset AAAI 2026
Generate, Transduct, Adapt: Iterative Transduction with VLMs ICCV 2025
Consensus-Driven Active Model Selection ICCV 2025
Feedforward Few-shot Species Range Estimation ICML 2025
WildSAT: Learning Satellite Image Representations from Wildlife Observations ICCV 2025
Combining Observational Data and Language for Species Range Estimation NIPS 2024
The iNaturalist Sounds Dataset NIPS 2024
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling AAAI 2024
Human-in-the-Loop Visual Re-ID for Population Size Estimation ECCV 2024
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions CVPR 2024
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships CVPR 2024
OSLO: One-Shot Label-Only Membership Inference Attacks NIPS 2024
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs ICCV 2023
MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation ECCV 2022
Improving Few-Shot Part Segmentation Using Coarse Supervision ECCV 2022
Cross-Modal 3D Shape Generation and Manipulation ECCV 2022
GanOrCon: Are Generative Models Useful for Few-Shot Segmentation? CVPR 2022
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification CVPR 2021
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning CVPR 2021
On Equivariant and Invariant Learning of Object Landmark Representations ICCV 2021
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions ECCV 2020
Detecting and Tracking Communal Bird Roosts in Weather Radar Data AAAI 2020
Learning Generative Models of Shape Handles CVPR 2020
PhraseCut: Language-Based Image Segmentation in the Wild CVPR 2020
Describing Textures using Natural Language ECCV 2020
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds ECCV 2020
When Does Self-supervision Improve Few-shot Learning? ECCV 2020
Exploring and Predicting Transferability across NLP Tasks EMNLP 2020
Active Adversarial Domain Adaptation WACV 2020
Meta-Learning With Differentiable Convex Optimization CVPR 2019
Task2Vec: Task Embedding for Meta-Learning ICCV 2019
Random Feature Maps for the Itemset Kernel AAAI 2019
Shape Reconstruction Using Differentiable Projections and Deep Priors ICCV 2019
A Bayesian Perspective on the Deep Image Prior CVPR 2019
Second-order Democratic Aggregation ECCV 2018
Multiresolution Tree Networks for 3D Point Cloud Processing ECCV 2018
CSGNet: Neural Shape Parser for Constructive Solid Geometry CVPR 2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing CVPR 2018
3D Shape Segmentation With Projective Convolutional Networks CVPR 2017
Reasoning About Fine-Grained Attribute Phrases Using Reference Games ICCV 2017
Visualizing and Understanding Deep Texture Representations CVPR 2016
Multi-View Convolutional Neural Networks for 3D Shape Recognition ICCV 2015
Deep Filter Banks for Texture Recognition and Segmentation CVPR 2015
Bilinear CNN Models for Fine-Grained Visual Recognition ICCV 2015
Active Boundary Annotation using Random MAP Perturbations AISTATS 2014
Understanding Objects in Detail with Fine-Grained Attributes CVPR 2014
Describing Textures in the Wild CVPR 2014
Parsing World's Skylines using Shape-Constrained MRFs CVPR 2014
Similarity Comparisons for Interactive Fine-Grained Categorization CVPR 2014
Part Discovery from Partial Correspondence CVPR 2013
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NIPS 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013