Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 161

North America-United States

About Trevor Darrell

Trevor Darrell, With an exceptional h-index of 161 and a recent h-index of 116 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Computer Vision, Artificial Intelligence, AI, Machine Learning, Deep Learning.

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

Real-world humanoid locomotion with reinforcement learning

EgoPet: Egomotion and Interaction Data from an Animal's Perspective

Finding Visual Task Vectors

ALOHa: A New Measure for Hallucination in Captioning Models

When Do We Not Need Larger Vision Models?

Humanoid Locomotion as Next Token Prediction

Neural Network Diffusion

Large language models are visual reasoning coordinators

Trevor Darrell Information

University

Position

Professor of Computer Science

Citations(all)

242160

Citations(since 2020)

158435

Cited By

144112

hIndex(all)

161

hIndex(since 2020)

116

i10Index(all)

468

i10Index(since 2020)

342

Email

University Profile Page

Google Scholar

Trevor Darrell Skills & Research Interests

Computer Vision

Artificial Intelligence

AI

Machine Learning

Deep Learning

Top articles of Trevor Darrell

Real-world humanoid locomotion with reinforcement learning

Science Robotics

2024/4/17

EgoPet: Egomotion and Interaction Data from an Animal's Perspective

arXiv preprint arXiv:2404.09991

2024/4/15

Finding Visual Task Vectors

arXiv preprint arXiv:2404.05729

2024/4/8

ALOHa: A New Measure for Hallucination in Captioning Models

arXiv preprint arXiv:2404.02904

2024/4/3

When Do We Not Need Larger Vision Models?

arXiv preprint arXiv:2403.13043

2024/3/19

Neural Network Diffusion

arXiv preprint arXiv:2402.13144

2024/2/20

Large language models are visual reasoning coordinators

Advances in Neural Information Processing Systems

2024/2/13

Hierarchical open-vocabulary universal image segmentation

Advances in Neural Information Processing Systems

2024/2/13

Xudong Wang
Xudong Wang

H-Index: 3

Trevor Darrell
Trevor Darrell

H-Index: 101

Diversify your vision datasets with automatic diffusion-based augmentation

Advances in Neural Information Processing Systems

2024/2/13

Diffusion hyperfeatures: Searching through time and space for semantic correspondence

Advances in Neural Information Processing Systems

2024/2/13

InstanceDiffusion: Instance-level Control for Image Generation

arXiv preprint arXiv:2402.03290

2024/2/5

Rethinking Patch Dependence for Masked Autoencoders

arXiv preprint arXiv:2401.14391

2024/1/25

From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

arXiv preprint arXiv:2401.01885

2024/1/3

Simple token-level confidence improves caption correctness

2024

Promptonomyvit: Multi-task prompt learning improves video transformers using synthetic scene data

Winter Conference on Applications of Computer Vision (WACV), 2024

2022/12/8

Shape-guided diffusion with inside-outside attention

2024

Multitask vision-language prompt tuning

WACV 2024

2022/11/21

IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks

arXiv preprint arXiv:2312.01771

2023/12/4

See List of Professors in Trevor Darrell University(University of California, Berkeley)

Co-Authors

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