World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
3312
World Ranking
13296
National Ranking
5319

Overview

Anoop Cherian is affiliated with Mitsubishi Electric (United States) and has made contributions primarily in the field of computer science, with a focus on several specialized subfields. Their research encompasses computer vision and pattern recognition, artificial intelligence, signal processing, computational mechanics, and control and systems engineering.

Their main topics of work include:

  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Video Analysis and Summarization
  • Music and Audio Processing
  • Speech and Dialogue Systems
  • Anomaly Detection Techniques and Applications

Anoop Cherian has contributed to several notable publications. Recent papers include:

  • "(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering" (2022), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Max-Margin Contrastive Learning" (2022), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers" (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • "MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation" (2022), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning" (2022), ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Their frequent co-authors include Tim K. Marks, Moitreya Chatterjee, Chiori Hori, Joshua B. Tenenbaum, and Suhas Lohit.

Publications often appear in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Anoop Cherian has published extensively, with a total of 116 contributions identified in computer science. Of these, 75 are in computer vision and pattern recognition, 29 in artificial intelligence, and smaller numbers in other subfields. The research interests reflect a broad engagement with topics that connect machine learning, multimedia data analysis, and complex systems modeling.

Best Publications

  • Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices

    A. Cherian;S. Sra;A. Banerjee;N. Papanikolopoulos

  • On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization

    Stephen Gould;Basura Fernando;Anoop Cherian;Peter Anderson

  • Audio Visual Scene-Aware Dialog

    Huda Alamri;Peter Anderson;Stefan Lee;Devi Parikh

  • LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood

    Abhinav Kumar;Tim K. Marks;Wenxuan Mou;Ye Wang

  • Mixing Body-Part Sequences for Human Pose Estimation

    Anoop Cherian;Julien Mairal;Karteek Alahari;Cordelia Schmid

  • Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons

    Piotr Koniusz;Piotr Koniusz;Anoop Cherian;Fatih Porikli;Fatih Porikli

  • GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection

    Jue Wang;Anoop Cherian

  • End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features

    Chiori Hori;Huda Alamri;Jue Wang;Gordon Wichern

  • Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet Divergence

    Anoop Cherian;Suvrit Sra;Arindam Banerjee;Nikolaos Papanikolopoulos

  • Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices

    Anoop Cherian;Suvrit Sra

  • Generalized Rank Pooling for Activity Recognition

    Anoop Cherian;Basura Fernando;Mehrtash Harandi;Stephen Gould

  • DeepPermNet: Visual Permutation Learning

    Rodrigo Santa Cruz;Basura Fernando;Anoop Cherian;Stephen Gould

  • Video Representation Learning Using Discriminative Pooling

    Jue Wang;Anoop Cherian;Fatih Porikli;Stephen Gould

  • Autonomous altitude estimation of a UAV using a single onboard camera

    Anoop Cherian;Jon Andersh;Vassilios Morellas;Nikolaos Papanikolopoulos

  • The Eighth Dialog System Technology Challenge

    Seokhwan Kim;Michel Galley;Chulaka Gunasekara;Sungjin Lee

  • Tensor Representations for Action Recognition.

    Piotr Koniusz;Lei Wang;Anoop Cherian

  • Action recognition using global spatio-temporal features derived from sparse representations ☆

    Guruprasad Somasundaram;Anoop Cherian;Vassilios Morellas;Nikolaos P Papanikolopoulos

  • Sem-GAN: Semantically-Consistent Image-to-Image Translation

    Anoop Cherian;Alan Sullivan

  • Riemannian Sparse Coding for Positive Definite Matrices

    Anoop Cherian;Suvrit Sra

  • Accurate 3D ground plane estimation from a single image

    Anoop Cherian;Vassilios Morellas;Nikolaos Papanikolopoulos

  • Visual Permutation Learning

    Rodrigo Santa Cruz;Basura Fernando;Anoop Cherian;Stephen Gould

  • Audio-Visual Scene-Aware Dialog

    Huda Alamri;Vincent Cartillier;Abhishek Das;Jue Wang

  • Max-Margin Contrastive Learning

    Unknown

  • Generalized Dictionary Learning for symmetric positive definite matrices with application to Nearest Neighbor retrieval

    Suvrit Sra;Anoop Cherian

Frequent Co-Authors

Nikolaos Papanikolopoulos
Nikolaos Papanikolopoulos University of Minnesota
Stephen Gould
Stephen Gould Australian National University
Basura Fernando
Basura Fernando Agency for Science, Technology and Research
Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Jonathan Le Roux
Jonathan Le Roux Mitsubishi Electric (United States)
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Irfan Essa
Irfan Essa Georgia Institute of Technology
Devi Parikh
Devi Parikh Facebook (United States)
Mehrtash Harandi
Mehrtash Harandi Monash University

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