Carlo Tomasi

Carlo Tomasi

Duke University

H-index: 61

North America-United States

About Carlo Tomasi

Carlo Tomasi, With an exceptional h-index of 61 and a recent h-index of 30 (since 2020), a distinguished researcher at Duke University, specializes in the field of Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions

Semarflow: Injecting semantics into unsupervised optical flow estimation for autonomous driving

RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios

UFD-PRiME: Unsupervised Joint Learning of Optical Flow and Stereo Depth through Pixel-Level Rigid Motion Estimation

Epipolar Geometry and the Eight-Point Algorithm

Deep Networks for Image-to-Image Prediction

Optical flow training under limited label budget via active learning

The Least Squares Solution of Linear Systems

Carlo Tomasi Information

University

Position

Professor of Computer Science

Citations(all)

59096

Citations(since 2020)

15419

Cited By

50295

hIndex(all)

61

hIndex(since 2020)

30

i10Index(all)

115

i10Index(since 2020)

58

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

Carlo Tomasi Skills & Research Interests

Computer Vision

Top articles of Carlo Tomasi

Title

Journal

Author(s)

Publication Date

Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions

arXiv preprint arXiv:2402.05400

Kelsey Lieberman

Shuai Yuan

Swarna Kamlam Ravindran

Carlo Tomasi

2024/2/8

Semarflow: Injecting semantics into unsupervised optical flow estimation for autonomous driving

Shuai Yuan

Shuzhi Yu

Hannah Kim

Carlo Tomasi

2023

RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios

arXiv preprint arXiv:2311.16508

Swarna Kamlam Ravindran

Carlo Tomasi

2023/11/25

UFD-PRiME: Unsupervised Joint Learning of Optical Flow and Stereo Depth through Pixel-Level Rigid Motion Estimation

arXiv preprint arXiv:2310.04712

Shuai Yuan

Carlo Tomasi

2023/10/7

Epipolar Geometry and the Eight-Point Algorithm

Carlo Tomasi

2022/3/23

Deep Networks for Image-to-Image Prediction

Carlo Tomasi

2022/3/14

Optical flow training under limited label budget via active learning

Shuai Yuan

Xian Sun

Hannah Kim

Shuzhi Yu

Carlo Tomasi

2022/10/23

The Least Squares Solution of Linear Systems

Carlo Tomasi

2022/3/1

Unsupervised flow refinement near motion boundaries

arXiv preprint arXiv:2208.02305

Shuzhi Yu

Hannah Halin Kim

Shuai Yuan

Carlo Tomasi

2022/8/3

Image Motion Analysis

Carlo Tomasi

2022/2/24

Cross-Attention Transformer for Video Interpolation

arXiv e-prints

Hannah Halin Kim

Shuzhi Yu

Shuai Yuan

Carlo Tomasi

2022/7

Losses, Back-Propagation, and Convolutional Neural Networks

Carlo Tomasi

2022/2/14

Real Cameras and their Calibration

Carlo Tomasi

2022/4/4

Improving Generalization for Convolutional Neural Networks

Carlo Tomasi

2021/11/29

Joint Detection of Motion Boundaries and Occlusions

arXiv e-prints

Hannah Halin Kim

Shuzhi Yu

Carlo Tomasi

2021/11

Decision Trees and Random Decision Forests

Carlo Tomasi

2021/11/1

Linear systems

Attractors Under Discretisation

Xiaoying Han

Peter Kloeden

Xiaoying Han

Peter Kloeden

2017

Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens

Applications in Plant Sciences

Emily K Meineke

Carlo Tomasi

Song Yuan

Kathleen M Pryer

2020/6

Applying machine learning to investigate long-term insect-plant interactions preserved on

Applications in plant sciences, 8 (6)

Emily K Meineke

Carlo Tomasi

Song Yuan

2020/6/1

Using computer vision on herbarium specimen images to discriminate among closely related horsetails (Equisetum)

Applications in Plant Sciences

Kathleen M Pryer

Carlo Tomasi

Xiaohan Wang

Emily K Meineke

Michael D Windham

2020/6

See List of Professors in Carlo Tomasi University(Duke University)

Co-Authors

H-index: 169
Takeo Kanade

Takeo Kanade

Carnegie Mellon University

H-index: 148
Leonidas Guibas

Leonidas Guibas

Stanford University

H-index: 111
Joseph A. Izatt

Joseph A. Izatt

Duke University

H-index: 97
David J Heeger

David J Heeger

New York University

H-index: 73
Sandy Napel

Sandy Napel

Stanford University

H-index: 68
Sina Farsiu

Sina Farsiu

Duke University

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