Jan-Michael Frahm

Jan-Michael Frahm

University of North Carolina at Chapel Hill

H-index: 61

North America-United States

About Jan-Michael Frahm

Jan-Michael Frahm, With an exceptional h-index of 61 and a recent h-index of 41 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of computer vision, structure from motion, photo collection reconstruction, stereo, robust estimation.

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

Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond

A practical stereo depth system for smart glasses

Toward edge-efficient dense predictions with synergistic multi-task neural architecture search

A surface-normal based neural framework for colonoscopy reconstruction

Lossmix: Simplify and generalize mixup for object detection and beyond

Mvpsnet: Fast generalizable multi-view photometric stereo

Learning to Estimate Multi-view Pose from Object Silhouettes

Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data Constraints

Jan-Michael Frahm Information

University

Position

Professor Computer Science

Citations(all)

21614

Citations(since 2020)

11864

Cited By

14046

hIndex(all)

61

hIndex(since 2020)

41

i10Index(all)

140

i10Index(since 2020)

100

Email

University Profile Page

University of North Carolina at Chapel Hill

Google Scholar

View Google Scholar Profile

Jan-Michael Frahm Skills & Research Interests

computer vision

structure from motion

photo collection reconstruction

stereo

robust estimation

Top articles of Jan-Michael Frahm

Title

Journal

Author(s)

Publication Date

Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond

Proceedings of the AAAI Conference on Artificial Intelligence

Thanh Vu

Baochen Sun

Bodi Yuan

Alex Ngai

Yueqi Li

...

2024/3/24

A practical stereo depth system for smart glasses

Jialiang Wang

Daniel Scharstein

Akash Bapat

Kevin Blackburn-Matzen

Matthew Yu

...

2023

Toward edge-efficient dense predictions with synergistic multi-task neural architecture search

Thanh Vu

Yanqi Zhou

Chunfeng Wen

Yueqi Li

Jan-Michael Frahm

2023

A surface-normal based neural framework for colonoscopy reconstruction

Shuxian Wang

Yubo Zhang

Sarah K McGill

Julian G Rosenman

Jan-Michael Frahm

...

2023/6/8

Lossmix: Simplify and generalize mixup for object detection and beyond

arXiv preprint arXiv:2303.10343

Thanh Vu

Baochen Sun

Bodi Yuan

Alex Ngai

Yueqi Li

...

2023/3/18

Mvpsnet: Fast generalizable multi-view photometric stereo

Dongxu Zhao

Daniel Lichy

Pierre-Nicolas Perrin

Jan-Michael Frahm

Soumyadip Sengupta

2023

Learning to Estimate Multi-view Pose from Object Silhouettes

Yoni Kasten

True Price

David Geraghty

Jan-Michael Frahm

2022/10/23

Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data Constraints

arXiv preprint arXiv:2204.02494

John Lim

Jan-Michael Frahm

Fabian Monrose

2022/4/5

VPFusion: Joint 3D Volume and Pixel-Aligned Feature Fusion for Single and Multi-view 3D Reconstruction

arXiv preprint arXiv:2203.07553

Jisan Mahmud

Jan-Michael Frahm

2022/3/14

Egoglass: Egocentric-view human pose estimation from an eyeglass frame

Dongxu Zhao

Zhen Wei

Jisan Mahmud

Jan-Michael Frahm

2021/12/1

Artificial intelligence identifies and quantifies colonoscopy blind spots

Endoscopy

Sarah K McGill

Julian Rosenman

Rui Wang

Ruibin Ma

Jan-Michael Frahm

...

2021/12

ColDE: a depth estimation framework for colonoscopy reconstruction

arXiv preprint arXiv:2111.10371

Yubo Zhang

Jan-Michael Frahm

Samuel Ehrenstein

Sarah K McGill

Julian G Rosenman

...

2021/11/19

RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy

Medical image analysis

Ruibin Ma

Rui Wang

Yubo Zhang

Stephen Pizer

Sarah K McGill

...

2021/8/1

Colon10k: a benchmark for place recognition in colonoscopy

Ruibin Ma

Sarah K McGill

Rui Wang

Julian Rosenman

Jan-Michael Frahm

...

2021/4/13

Reducing drift in structure from motion using extended features

Aleksander Holynski

David Geraghty

Jan-Michael Frahm

Chris Sweeney

Richard Szeliski

2020/11

Revisiting the threat space for vision-based keystroke inference attacks

John Lim

True Price

Fabian Monrose

Jan-Michael Frahm

2020

Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part II

Andrea Vedaldi

Horst Bischof

Thomas Brox

Jan-Michael Frahm

2020/11/3

Any-width networks

Thanh Vu

Marc Eder

True Price

Jan-Michael Frahm

2020/6

Disentangling style and content for low resource video domain adaptation: a case study on keystroke inference attacks

John Lim

Fabian Monrose

Jan-Michael Frahm

2020/10/2

Boundary-aware 3D building reconstruction from a single overhead image

Jisan Mahmud

True Price

Akash Bapat

Jan-Michael Frahm

2020

See List of Professors in Jan-Michael Frahm University(University of North Carolina at Chapel Hill)

Co-Authors

H-index: 77
Henry Fuchs

Henry Fuchs

University of North Carolina at Chapel Hill

H-index: 55
Svetlana Lazebnik

Svetlana Lazebnik

University of Illinois at Urbana-Champaign

H-index: 55
Fabian Monrose

Fabian Monrose

University of North Carolina at Chapel Hill

H-index: 54
Greg Welch

Greg Welch

University of Central Florida

H-index: 48
Reinhard Koch

Reinhard Koch

Christian-Albrechts-Universität zu Kiel

H-index: 40
Zach Christopher

Zach Christopher

Chalmers tekniska högskola

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