Charless Fowlkes

Charless Fowlkes

University of California, Irvine

H-index: 56

North America-United States

About Charless Fowlkes

Charless Fowlkes, With an exceptional h-index of 56 and a recent h-index of 40 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of computer vision, biological image analysis.

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

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching

Your representations are in the network: composable and parallel adaptation for large scale models

Instance Tracking in 3D Scenes from Egocentric Videos

Introspective cross-attention probing for lightweight transfer of pre-trained models

Guided recommendation for model fine-tuning

Geofill: Reference-based image inpainting with better geometric understanding

Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos

Sscap: Self-supervised co-occurrence action parsing for unsupervised temporal action segmentation

Charless Fowlkes Information

University

Position

Department of Computer Science

Citations(all)

32652

Citations(since 2020)

13758

Cited By

24832

hIndex(all)

56

hIndex(since 2020)

40

i10Index(all)

118

i10Index(since 2020)

92

Email

University Profile Page

Google Scholar

Charless Fowlkes Skills & Research Interests

computer vision

biological image analysis

Top articles of Charless Fowlkes

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching

arXiv preprint arXiv:2404.16972

2024/4/25

Your representations are in the network: composable and parallel adaptation for large scale models

Advances in Neural Information Processing Systems

2024/2/13

Instance Tracking in 3D Scenes from Egocentric Videos

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

2024/6

Introspective cross-attention probing for lightweight transfer of pre-trained models

arXiv e-prints

2023/3

Guided recommendation for model fine-tuning

2023

Geofill: Reference-based image inpainting with better geometric understanding

2023

Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos

2023

Sscap: Self-supervised co-occurrence action parsing for unsupervised temporal action segmentation

2022

Geometric pose affordance: Monocular 3D human pose estimation with scene constraints

2022/10/23

Automated identification of diverse Neotropical pollen samples using convolutional neural networks

Methods in Ecology and Evolution

2022/9

High-resolution structure-function mapping of intact hearts reveals altered sympathetic control of infarct border zones

JCI insight

2022/2/2

The best of both worlds: combining model-based and nonparametric approaches for 3D human body estimation

CVPR ABAW 2022 https://arxiv.org/abs/2205.00508

2022/6

Zhe Wang
Zhe Wang

H-Index: 3

Charless Fowlkes
Charless Fowlkes

H-Index: 41

Task adaptive parameter sharing for multi-task learning

2022

Representation Consolidation from Multiple Expert Teachers

2021/10/6

Modular framework for visuomotor language grounding

arXiv preprint arXiv:2109.02161

2021/9/5

Multicolor sparse viral labeling and 3D digital tracing of enteric plexus in mouse proximal colon using a novel adeno‐associated virus capsid

Neurogastroenterology & Motility

2021/8

Representation consolidation for training expert students

arXiv preprint arXiv:2107.08039

2021/7/16

Altered sympathetic control of myocardial infarct border zones: High-resolution mapping with automated structure detection

2021/5/28

A linearized framework and a new benchmark for model selection for fine-tuning

arXiv preprint arXiv:2102.00084

2021/1/29

Camera pose matters: Improving depth prediction by mitigating pose distribution bias

2021

Yunhan Zhao
Yunhan Zhao

H-Index: 1

Shu Kong
Shu Kong

H-Index: 13

Charless Fowlkes
Charless Fowlkes

H-Index: 41

See List of Professors in Charless Fowlkes University(University of California, Irvine)

Co-Authors

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