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D-Index & Metrics

Computer Science

D-Index
49
Citations
24536
World Ranking
5739
National Ranking
2608

Overview

Subhransu Maji is affiliated with the University of Massachusetts Amherst in the United States. Their primary field of research is Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Ecology, and Geology.

The scientist's work spans several key research topics that include:

  • Domain Adaptation and Few-Shot Learning
  • 3D Shape Modeling and Analysis
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • 3D Surveying and Cultural Heritage
  • Species Distribution and Climate Change
  • Advanced Neural Network Applications

Subhransu Maji has contributed to academic literature with papers published in a variety of venues. The frequent publication venues where their work appears include:

  • arXiv (Cornell University)
  • Journal of Materials Chemistry A
  • Remote Sensing in Ecology and Conservation
  • International Journal of Computer Vision
  • The Astrophysical Journal

Some of the recent papers include:

  • "On Measuring and Controlling the Spectral Bias of the Deep Image Prior" (2022) in the International Journal of Computer Vision
  • "Feedback in Emerging Extragalactic Star Clusters, FEAST: The Relation between 3.3 μm Polycyclic Aromatic Hydrocarbon Emission and Star Formation Rate Traced by Ionized Gas in NGC 628" (2024) in The Astrophysical Journal
  • "Detecting and Tracking Communal Bird Roosts in Weather Radar Data" (2020) in Proceedings of the AAAI Conference on Artificial Intelligence
  • "The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop" (2021) in arXiv (Cornell University)
  • "PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation" (2022) in Computer Graphics Forum

Collaborations play an important role in their research activities. Frequent co-authors include:

  • Zezhou Cheng
  • Gustavo Pérez
  • Daniel Sheldon
  • Grant Van Horn
  • Evangelos Kalogerakis

Best Publications

  • Multi-view Convolutional Neural Networks for 3D Shape Recognition

    Hang Su;Subhransu Maji;Evangelos Kalogerakis;Erik Learned-Miller

  • Bilinear CNN Models for Fine-Grained Visual Recognition

    Tsung-Yu Lin;Aruni RoyChowdhury;Subhransu Maji

  • Describing Textures in the Wild

    Mircea Cimpoi;Subhransu Maji;Iasonas Kokkinos;Sammy Mohamed

  • Semantic contours from inverse detectors

    Bharath Hariharan;Pablo Arbelaez;Lubomir Bourdev;Subhransu Maji

  • Fine-Grained Visual Classification of Aircraft

    Subhransu Maji;Esa Rahtu;Juho Kannala;Matthew B. Blaschko

  • Classification using intersection kernel support vector machines is efficient

    S. Maji;A.C. Berg;J. Malik

  • Meta-Learning With Differentiable Convex Optimization

    Kwonjoon Lee;Subhransu Maji;Avinash Ravichandran;Stefano Soatto

  • Deep filter banks for texture recognition and segmentation

    Mircea Cimpoi;Subhransu Maji;Andrea Vedaldi

  • SPLATNet: Sparse Lattice Networks for Point Cloud Processing

    Hang Su;Varun Jampani;Deqing Sun;Subhransu Maji

  • Detecting people using mutually consistent poselet activations

    Lubomir Bourdev;Subhransu Maji;Thomas Brox;Jitendra Malik

  • Describing people: A poselet-based approach to attribute classification

    Lubomir Bourdev;Subhransu Maji;Jitendra Malik

  • Object detection using a max-margin Hough transform

    Subhransu Maji;Jitendra Malik

  • Action recognition from a distributed representation of pose and appearance

    Subhransu Maji;Lubomir Bourdev;Jitendra Malik

  • 3D Shape Segmentation with Projective Convolutional Networks

    Evangelos Kalogerakis;Melinos Averkiou;Subhransu Maji;Siddhartha Chaudhuri

  • Deep Filter Banks for Texture Recognition, Description, and Segmentation

    Mircea Cimpoi;Subhransu Maji;Iasonas Kokkinos;Andrea Vedaldi

  • Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition

    Tsung-Yu Lin;Aruni RoyChowdhury;Subhransu Maji

  • Efficient Classification for Additive Kernel SVMs

    S. Maji;A. C. Berg;J. Malik

  • Multiresolution Tree Networks for 3D Point Cloud Processing

    Matheus Gadelha;Rui Wang;Subhransu Maji

  • 3D Shape Induction from 2D Views of Multiple Objects

    Matheus Gadelha;Subhransu Maji;Rui Wang

  • Visemenet: audio-driven animator-centric speech animation

    Yang Zhou;Zhan Xu;Chris Landreth;Evangelos Kalogerakis

  • Task2Vec: Task Embedding for Meta-Learning

    Alessandro Achille;Michael Lam;Rahul Tewari;Avinash Ravichandran

Frequent Co-Authors

Evangelos Kalogerakis
Evangelos Kalogerakis Technical University of Crete
Rui Wang
Rui Wang Zhejiang University
Jitendra Malik
Jitendra Malik University of California, Berkeley
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Erik Learned-Miller
Erik Learned-Miller University of Massachusetts Amherst
Iasonas Kokkinos
Iasonas Kokkinos University College London
Lubomir Bourdev
Lubomir Bourdev WaveOne, Inc.
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Juho Kannala
Juho Kannala Aalto University

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