Sampat Maji
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Computer Science
Sampat Maji's Degrees
- Masters Computer Science Stanford University
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(Suggest an Edit or Addition)Sampat Maji's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Multi-view Convolutional Neural Networks for 3D Shape Recognition (2015) (2464)
- Bilinear CNN Models for Fine-Grained Visual Recognition (2015) (1538)
- Describing Textures in the Wild (2013) (1334)
- Semantic contours from inverse detectors (2011) (1278)
- Fine-Grained Visual Classification of Aircraft (2013) (1142)
- Classification using intersection kernel support vector machines is efficient (2008) (1115)
- Meta-Learning With Differentiable Convex Optimization (2019) (876)
- SPLATNet: Sparse Lattice Networks for Point Cloud Processing (2018) (629)
- Deep filter banks for texture recognition and segmentation (2015) (587)
- Detecting People Using Mutually Consistent Poselet Activations (2010) (413)
- Describing people: A poselet-based approach to attribute classification (2011) (376)
- Action recognition from a distributed representation of pose and appearance (2011) (337)
- 3D Shape Segmentation with Projective Convolutional Networks (2016) (328)
- Object detection using a max-margin Hough transform (2009) (326)
- Deep Filter Banks for Texture Recognition, Description, and Segmentation (2015) (320)
- Efficient Classification for Additive Kernel SVMs (2013) (238)
- Max-margin additive classifiers for detection (2009) (236)
- 3D Shape Induction from 2D Views of Multiple Objects (2016) (226)
- Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition (2018) (210)
- Multiresolution Tree Networks for 3D Point Cloud Processing (2018) (206)
- Task2Vec: Task Embedding for Meta-Learning (2019) (197)
- Improved Bilinear Pooling with CNNs (2017) (173)
- 3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks (2017) (149)
- Automatic Image Annotation using Deep Learning Representations (2015) (133)
- Visualizing and Understanding Deep Texture Representations (2015) (129)
- CSGNet: Neural Shape Parser for Constructive Solid Geometry (2017) (125)
- Object segmentation by alignment of poselet activations to image contours (2011) (117)
- When Does Self-supervision Improve Few-shot Learning? (2019) (113)
- Understanding Objects in Detail with Fine-Grained Attributes (2014) (109)
- One-to-many face recognition with bilinear CNNs (2015) (107)
- Biased normalized cuts (2011) (101)
- Similarity Comparisons for Interactive Fine-Grained Categorization (2014) (97)
- Exploring and Predicting Transferability across NLP Tasks (2020) (96)
- Bilinear CNNs for Fine-grained Visual Recognition (2015) (91)
- A Bayesian Perspective on the Deep Image Prior (2019) (89)
- VisemeNet: Audio-Driven Animator-Centric Speech Animation (2018) (88)
- A Deeper Look at 3D Shape Classifiers (2018) (80)
- Active Adversarial Domain Adaptation (2019) (73)
- Fast and Accurate Digit Classification (2009) (65)
- Phenology of nocturnal avian migration has shifted at the continental scale (2019) (60)
- ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds (2020) (56)
- On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations (2013) (55)
- Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning (2021) (54)
- Deep convolutional filter banks for texture recognition and segmentation (2014) (52)
- MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks (2019) (42)
- Multiple-view object recognition in band-limited distributed camera networks (2009) (42)
- Discovering a Lexicon of Parts and Attributes (2012) (39)
- DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery (2019) (34)
- On Measuring and Controlling the Spectral Bias of the Deep Image Prior (2019) (34)
- PhraseCut: Language-Based Image Segmentation in the Wild (2020) (33)
- Adapting Models to Signal Degradation using Distillation (2016) (29)
- A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification (2021) (28)
- 2009 IEEE 12th International Conference on Computer Vision (ICCV) (2009) (26)
- Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions (2020) (26)
- Face Identification with Bilinear CNNs (2015) (25)
- Part Discovery from Partial Correspondence (2013) (25)
- Learning Generative Models of Shape Handles (2020) (24)
- Shape Reconstruction Using Differentiable Projections and Deep Priors (2019) (24)
- Confidence Based updation of Motion Conspicuity in Dynamic Scenes (2006) (22)
- Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions (2013) (22)
- Second-order Democratic Aggregation (2018) (18)
- Reasoning About Fine-Grained Attribute Phrases Using Reference Games (2017) (18)
- Boosting Supervision with Self-Supervision for Few-shot Learning (2019) (16)
- Learning Localized Perceptual Similarity Metrics for Interactive Categorization (2015) (16)
- Neural Shape Parsers for Constructive Solid Geometry (2019) (15)
- Revisiting Contrastive Learning for Few-Shot Classification (2021) (15)
- Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection (2014) (15)
- Part and Attribute Discovery from Relative Annotations (2014) (14)
- A Comparison of Feature Descriptors (2006) (13)
- Part Annotations via Pairwise Correspondence (2012) (13)
- Active Boundary Annotation using Random MAP Perturbations (2014) (13)
- The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop (2021) (12)
- W!NCE (2019) (12)
- Shape Generation using Spatially Partitioned Point Clouds (2017) (12)
- Large Scale Image Annotations on Amazon Mechanical Turk (2011) (11)
- Distributed compression and fusion of nonnegative sparse signals for multiple-view object recognition (2009) (11)
- Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation (2019) (11)
- 3 D Shape Reconstruction from Sketches via Multiview Convolutional Networks (2018) (11)
- Multiple-View Object Recognition in Smart Camera Networks (2011) (10)
- Cross Quality Distillation (2016) (9)
- Shot in the Dark: Few-Shot Learning with No Base-Class Labels (2020) (9)
- The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop (2021) (9)
- Deep Manifold Prior (2020) (8)
- Cross-Modal 3D Shape Generation and Manipulation (2022) (8)
- GANORCON: Are Generative Models Useful for Few-shot Segmentation? (2021) (8)
- Supervised Momentum Contrastive Learning for Few-Shot Classification (2021) (7)
- Visemenet (2018) (7)
- On Analyzing the Correlations and Implications of Single-Number Quantities for Rating Airborne Sound Insulation in the Frequency Range 50 Hz to 5 kHz (2015) (7)
- On Equivariant and Invariant Learning of Object Landmark Representations (2021) (7)
- Describing Textures using Natural Language (2020) (7)
- High Dimensional Inference With Random Maximum A-Posteriori Perturbations (2016) (7)
- Semi-Supervised Learning with Taxonomic Labels (2021) (6)
- Unsupervised Discovery of Object Landmarks via Contrastive Learning (2020) (6)
- Fast unsupervised alignment of video and text for indexing/names and faces (2007) (6)
- Unsteady Viscous Flow Past a Flat Plate in a Rotating System (2007) (6)
- Parsing World's Skylines Using Shape-Constrained MRFs (2014) (5)
- Detecting and Tracking Communal Bird Roosts in Weather Radar Data (2020) (5)
- Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery (2016) (5)
- Jointly Learning Multiple Measures of Similarities from Triplet Comparisons (2015) (5)
- Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation (2019) (5)
- Inferring 3D Shapes from Image Collections Using Adversarial Networks (2019) (5)
- A NETFLOW DISTANCE BETWEEN LABELED GRAPHS : APPLICATIONS IN CHEMOINFORMATICS (2007) (4)
- A Deeper Look at 3 D Shape Classifiers (2018) (4)
- Towards a Detailed Understanding of Objects and Scenes in Natural Images (2012) (4)
- StarcNet: Machine Learning for Star Cluster Identification (2020) (4)
- PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation (2021) (4)
- Linearized Smooth Additive Classifiers (2012) (3)
- MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation (2022) (3)
- Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision (2018) (3)
- A Taxonomy of Part and Attribute Discovery Techniques (2017) (3)
- Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs (2017) (2)
- DeepRoof (2019) (2)
- Linearized Additive Classifiers (2011) (2)
- Domain Adaptors for Hyperspectral Images (2022) (2)
- W!NCE: eyewear solution for upper face action units monitoring (2019) (2)
- Dynamic Transformer for Few-shot Instance Segmentation (2022) (2)
- Random Feature Maps for the Itemset Kernel (2019) (2)
- Using Human Knowledge to Judge Part Goodness : Interactive Part Selection (2014) (2)
- Deep Filter Banks for Texture Recognition, Description, and Segmentation (2016) (1)
- A Database for Fine-Grained Aircraft Recognition (2013) (1)
- Conformational Heterogeneity of a Tripeptide in the Solid State and in Solution: Characterization of a γ-Turn Containing Incipient Hairpin in Solution (2003) (1)
- Jointly Learning Multiple Perceptual Similarities (2015) (1)
- Long‐term analysis of persistence and size of swallow and martin roosts in the US Great Lakes (2023) (1)
- Poselets: A distributed representation for visual recognition (2011) (1)
- Fast Automatic Alignment of Video and Text for Search / Names and Faces (2007) (1)
- Automatic Photograph Enhancement (2007) (0)
- Detection = repeated classification 4 Detection face or not ? (2016) (0)
- AI for Conservation (2021) (0)
- Using spatio-temporal information in weather radar data to detect and track communal bird roosts (2022) (0)
- FRACTIONATION AND CHARACTERIZATION OF OUTER MEMBRANE PROTEIN ANTIGENS OF AEROMONAS HYDROPHILA, ISOLATED FROM GOLD FISH, CARASSIUS AURATUS (LINNAEUS, 1758) (2004) (0)
- Multiresolution Tree Networks for Point Cloud Procesing (2019) (0)
- Part of Image Tagging Statistical NLP Final Project , Spring ’ 08 (2008) (0)
- Algorithms and Representations for Visual Recognition (2011) (0)
- How well does CLIP understand texture? (2022) (0)
- Supplementary Material: Cross-Modal 3D Shape Generation and Manipulation (2022) (0)
- Random Projection Features and Generalized Additive Models (2008) (0)
- Supplementary material from "Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation" (2019) (0)
- Development of a Computer Vision System to Identify Sea Lamprey at Barrier Traps and Fishway (2017) (0)
- Accidental Turntables: Learning 3D Pose by Watching Objects Turn (2022) (0)
- Domain Adaptor Networks for Hyperspectral Image Recognition (2021) (0)
- Visualizing and Describing Fine-grained Categories as Textures (2019) (0)
- Quantifying long‐term phenological patterns of aerial insectivores roosting in the Great Lakes region using weather surveillance radar (2022) (0)
- Inferring 3D Shapes from Image Collections Using Adversarial Networks (2020) (0)
- Part and Attribute Discovery from Relative Annotations (2014) (0)
- Improving Few-Shot Part Segmentation using Coarse Supervision (2022) (0)
- Leveraging Textures in Zero-shot Understanding of Fine-Grained Domains (2022) (0)
- Research Statement: towards Detailed Recognition of Visual Categories (0)
- Stability of QOS (2006) (0)
- An AI-Assisted Labeling Tool for Cataloging High-Resolution Images of Galaxies (2022) (0)
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