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Computer Science

D-Index
52
Citations
9185
World Ranking
5147
National Ranking
2367

Overview

Sinisa Todorovic is affiliated with Oregon State University in the United States. Their research primarily falls within the field of computer science, with a strong focus on computer vision and pattern recognition as well as artificial intelligence. They have also contributed to research in radiology, nuclear medicine and imaging, media technology, and oncology.

The work of Sinisa Todorovic covers various subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Media Technology
  • Oncology

Their main research topics include:

  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Radiomics and Machine Learning in Medical Imaging

Recent publications by Sinisa Todorovic feature a range of topics and venues, showing active involvement in both conference and journal publications. These include:

  • DESTR: Object Detection with Split Transformer, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models, 2021, iScience
  • Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform, 2020, arXiv (Cornell University)
  • Multistage temporal convolution transformer for action segmentation, 2022, Image and Vision Computing
  • iFS-RCNN: An Incremental Few-shot Instance Segmenter, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent publication venues include:

  • arXiv (Cornell University)
  • Cancer Research
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Image and Vision Computing
  • Journal of Pathology Informatics

Sinisa Todorovic collaborates with several researchers, including:

  • Igor Mihajlovic
  • Ivana Medvedec Mikić
  • Claire Weston
  • Djordje Pavlovic
  • Misagh Naderi

Best Publications

  • Unsupervised Video Summarization with Adversarial LSTM Networks

    Behrooz Mahasseni;Michael Lam;Sinisa Todorovic

  • Local-Learning-Based Feature Selection for High-Dimensional Data Analysis

    Yijun Sun;Sinisa Todorovic;Steve Goodison

  • Adaptive boosting for SAR automatic target recognition

    Yijun Sun;Zhipeng Liu;S. Todorovic;Jian Li

  • Multiobject tracking as maximum weight independent set

    William Brendel;Mohamed Amer;Sinisa Todorovic

  • Monocular Depth Estimation Using Neural Regression Forest

    Anirban Roy;Sinisa Todorovic

  • Feature Weighting and Boosting for Few-Shot Segmentation

    Khoi Nguyen;Sinisa Todorovic

  • Learning spatiotemporal graphs of human activities

    William Brendel;Sinisa Todorovic

  • AFEW-VA database for valence and arousal estimation in-the-wild

    Jean Kossaifi;Georgios Tzimiropoulos;Sinisa Todorovic;Maja Pantic

  • Video object segmentation by tracking regions

    William Brendel;Sinisa Todorovic

  • Joint inference of groups, events and human roles in aerial videos

    Tianmin Shu;Dan Xie;Brandon Rothrock;Sinisa Todorovic

  • Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition

    Behrooz Mahasseni;Sinisa Todorovic

  • CERN: Confidence-Energy Recurrent Network for Group Activity Recognition

    Tianmin Shu;Sinisa Todorovic;Song-Chun Zhu

  • Temporal Deformable Residual Networks for Action Segmentation in Videos

    Peng Lei;Sinisa Todorovic

  • The Planteome database:: an integrated resource for reference ontologies, plant genomics and phenomics

    Laurel Cooper;Austin Meier;Marie-Angélique Laporte;Justin L Elser

  • From contours to 3D object detection and pose estimation

    Nadia Payet;Sinisa Todorovic

  • Cost-Sensitive top-down/bottom-up inference for multiscale activity recognition

    Mohamed R. Amer;Dan Xie;Mingtian Zhao;Sinisa Todorovic

  • A Multi-scale CNN for Affordance Segmentation in RGB Images

    Anirban Roy;Sinisa Todorovic

  • HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos

    Mohamed Rabie Amer;Peng Lei;Sinisa Todorovic

  • Probabilistic event logic for interval-based event recognition

    William Brendel;Alan Fern;Sinisa Todorovic

  • Robust and efficient detection of DDoS attacks for large-scale internet

    Kejie Lu;Dapeng Wu;Jieyan Fan;Sinisa Todorovic

  • Fine-Grained Recognition as HSnet Search for Informative Image Parts

    Michael Lam;Behrooz Mahasseni;Sinisa Todorovic

Frequent Co-Authors

Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Song-Chun Zhu
Song-Chun Zhu Peking University
Alan Fern
Alan Fern Oregon State University
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Pankaj Jaiswal
Pankaj Jaiswal Oregon State University
Dapeng Wu
Dapeng Wu City University of Hong Kong
Joyce Y. Chai
Joyce Y. Chai University of Michigan–Ann Arbor
Maja Pantic
Maja Pantic Imperial College London
Barry Smith
Barry Smith University at Buffalo, State University of New York
Longin Jan Latecki
Longin Jan Latecki Temple University

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