activity
20232026
most citedAdvanced Feature Manipulation for Enhanced Change Detection Leveraging Natural Language Models

22 citations · 33 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2026

From Pixels to Purchase: Building and Evaluating a Taxonomy-Decoupled Visual Search Engine for Home Goods E-commerce

Cheng Lyu, Jingyue Zhang, Ryan Maunu +3

Visual search is critical for e-commerce, especially in style-driven domains where user intent is subjective and open-ended. Existing industrial systems typically couple object det…

cs.CV2024

YOLO-PPA based Efficient Traffic Sign Detection for Cruise Control in Autonomous Driving

Jingyu Zhang, Wenqing Zhang, Chaoyi Tan +2

It is very important to detect traffic signs efficiently and accurately in autonomous driving systems. However, the farther the distance, the smaller the traffic signs. Existing ob…

cs.CV2024★ 5 cited

Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology

Jingyu Zhang, Jin Cao, Jinghao Chang +3

This research aims to explore the application of deep learning in autonomous driving computer vision technology and its impact on improving system performance. By using advanced te…

cs.CV2024★ 6 cited

Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation

Zhenglin Li, Bo Guan, Yuanzhou Wei +3

Generative Adversarial Networks (GANs) have significantly advanced image processing, with Pix2Pix being a notable framework for image-to-image translation. This paper explores a no…

cs.CV2024★ 22 cited

Advanced Feature Manipulation for Enhanced Change Detection Leveraging Natural Language Models

Zhenglin Li, Yangchen Huang, Mengran Zhu +3

Change detection is a fundamental task in computer vision that processes a bi-temporal image pair to differentiate between semantically altered and unaltered regions. Large languag…

cs.CV2023

Cross-modal and Cross-domain Knowledge Transfer for Label-free 3D Segmentation

Jingyu Zhang, Huitong Yang, Dai-Jie Wu +4

Current state-of-the-art point cloud-based perception methods usually rely on large-scale labeled data, which requires expensive manual annotations. A natural option is to explore…