David W. Jacobs

David W. Jacobs

University of Maryland, Baltimore

H-index: 64

North America-United States

About David W. Jacobs

David W. Jacobs, With an exceptional h-index of 64 and a recent h-index of 41 (since 2020), a distinguished researcher at University of Maryland, Baltimore, specializes in the field of Computer Vision.

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

Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach

GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering

Halp: Hallucinating latent positives for skeleton-based self-supervised learning of actions

Hyperbolic contrastive learning for visual representations beyond objects

Measured albedo in the wild: Filling the gap in intrinsics evaluation

Laser: Neuro-symbolic learning of semantic video representations

Ld-znet: A latent diffusion approach for text-based image segmentation

Preserve your own correlation: A noise prior for video diffusion models

David W. Jacobs Information

University

Position

Professor of Computer Science

Citations(all)

25591

Citations(since 2020)

9610

Cited By

19730

hIndex(all)

64

hIndex(since 2020)

41

i10Index(all)

137

i10Index(since 2020)

83

Email

University Profile Page

University of Maryland, Baltimore

Google Scholar

View Google Scholar Profile

David W. Jacobs Skills & Research Interests

Computer Vision

Top articles of David W. Jacobs

Title

Journal

Author(s)

Publication Date

Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach

Advances in Neural Information Processing Systems

Phillip Pope

David Jacobs

2024/2/13

GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering

arXiv preprint arXiv:2403.15651

Jiaye Wu

Saeed Hadadan

Geng Lin

Matthias Zwicker

David Jacobs

...

2024/3/22

Halp: Hallucinating latent positives for skeleton-based self-supervised learning of actions

Anshul Shah

Aniket Roy

Ketul Shah

Shlok Mishra

David Jacobs

...

2023

Hyperbolic contrastive learning for visual representations beyond objects

Songwei Ge

Shlok Mishra

Simon Kornblith

Chun-Liang Li

David Jacobs

2023

Measured albedo in the wild: Filling the gap in intrinsics evaluation

Jiaye Wu

Sanjoy Chowdhury

Hariharmano Shanmugaraja

David Jacobs

Soumyadip Sengupta

2023/7/28

Laser: Neuro-symbolic learning of semantic video representations

arXiv preprint arXiv:2304.07647

Jiani Huang

Ziyang Li

David Jacobs

Mayur Naik

Ser-Nam Lim

2023/4/15

Ld-znet: A latent diffusion approach for text-based image segmentation

Koutilya Pnvr

Bharat Singh

Pallabi Ghosh

Behjat Siddiquie

David Jacobs

2023

Preserve your own correlation: A noise prior for video diffusion models

Songwei Ge

Seungjun Nah

Guilin Liu

Tyler Poon

Andrew Tao

...

2023

Long video generation with time-agnostic vqgan and time-sensitive transformer

Songwei Ge

Thomas Hayes

Harry Yang

Xi Yin

Guan Pang

...

2022/10/23

Improved presentation attack detection using image decomposition

Shlok Kumar Mishra

Kuntal Sengupta

Wen-Sheng Chu

Max Horowitz-Gelb

Sofien Bouaziz

...

2022/10/10

CAN: A simple, efficient and scalable contrastive masked autoencoder framework for learning visual representations

Shlok Kumar Mishra

Joshua David Robinson

Huiwen Chang

David Jacobs

Weicheng Kuo

...

2022/9/29

Autoregressive perturbations for data poisoning

Advances in Neural Information Processing Systems, 2022

Pedro Sandoval-Segura*

Vasu Singla*

Jonas Geiping

Micah Goldblum

Tom Goldstein

...

2022/6/8

Poisons that are learned faster are more effective

Pedro Sandoval-Segura

Vasu Singla

Liam Fowl

Jonas Geiping

Micah Goldblum

...

2022

On the spectral bias of convolutional neural tangent and gaussian process kernels

Advances in Neural Information Processing Systems

Amnon Geifman

Meirav Galun

David Jacobs

Basri Ronen

2022/12/6

Fast light-weight near-field photometric stereo

Daniel Lichy

Soumyadip Sengupta

David W Jacobs

2022

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations

arXiv preprint arXiv:2210.16870

Shlok Mishra

Joshua Robinson

Huiwen Chang

David Jacobs

Aaron Sarna

...

2022/10/30

Shift invariance can reduce adversarial robustness

Advances in Neural Information Processing Systems

Vasu Singla

Songwei Ge

Basri Ronen

David Jacobs

2021/12/6

Low curvature activations reduce overfitting in adversarial training

Vasu Singla

Sahil Singla

Soheil Feizi

David Jacobs

2021

Robust contrastive learning using negative samples with diminished semantics

Advances in Neural Information Processing Systems

Songwei Ge

Shlok Mishra

Chun-Liang Li

Haohan Wang

David Jacobs

2021/12/6

Object-aware cropping for self-supervised learning

arXiv preprint arXiv:2112.00319

Shlok Mishra

Anshul Shah

Ankan Bansal

Abhyuday Jagannatha

Janit Anjaria

...

2021/12/1

See List of Professors in David W. Jacobs University(University of Maryland, Baltimore)

Co-Authors

H-index: 79
Ravi Ramamoorthi

Ravi Ramamoorthi

University of California, San Diego

H-index: 75
David Kriegman

David Kriegman

University of California, San Diego

H-index: 63
Tom Goldstein

Tom Goldstein

University of Maryland, Baltimore

H-index: 62
Peter Belhumeur

Peter Belhumeur

Columbia University in the City of New York

H-index: 54
Ronen Basri

Ronen Basri

Weizmann Institute of Science

academic-engine