Subhransu Maji

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