activity
20192025
most citedSkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

83 citations · 110 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Beyond Realism: Learning the Art of Expressive Composition with StickerNet

Haoming Lu, David Kocharian, Humphrey Shi

As a widely used operation in image editing workflows, image composition has traditionally been studied with a focus on achieving visual realism and semantic plausibility. However,…

cs.CV2025

TrueSkin: Towards Fair and Accurate Skin Tone Recognition and Generation

Haoming Lu

Skin tone recognition and generation play important roles in model fairness, healthcare, and generative AI, yet they remain challenging due to the lack of comprehensive datasets an…

cs.CV2024

Can Vision-Language Models Replace Human Annotators: A Case Study with CelebA Dataset

Haoming Lu, Feifei Zhong

This study evaluates the capability of Vision-Language Models (VLMs) in image data annotation by comparing their performance on the CelebA dataset in terms of quality and cost-effe…

cs.CV2020★ 27 cited

Deep Learning for 3D Point Cloud Understanding: A Survey

Haoming Lu, Humphrey Shi

The development of practical applications, such as autonomous driving and robotics, has brought increasing attention to 3D point cloud understanding. While deep learning has achiev…

cs.CV2019★ 83 cited

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Xiaofan Zhang, Haoming Lu, Cong Hao +9

Object detection and tracking are challenging tasks for resource-constrained embedded systems. While these tasks are among the most compute-intensive tasks from the artificial inte…