activity
20192025
most citedUG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

36 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Object-Centric 3D Gaussian Splatting for Strawberry Plant Reconstruction and Phenotyping

Jiajia Li, Keyi Zhu, Qianwen Zhang +3

Strawberries are among the most economically significant fruits in the United States, generating over $2 billion in annual farm-gate sales and accounting for approximately 13% of t…

eess.IV2025★ 1 cited

A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond

Jiajia Li, Xinda Qi, Seyed Hamidreza Nabaei +5

Plant phenotyping plays a pivotal role in understanding plant traits and their interactions with the environment, making it crucial for advancing precision agriculture and crop imp…

cs.CV2024

BVI-RLV: A Fully Registered Dataset for Low-Light Video Enhancement

Ruirui Lin, Guoxi Huang, Joanne Lin +4

Low-light videos often exhibit spatiotemporally incoherent noise, compromising visibility and degrading performance in computer vision applications. A major challenge for enhancing…

cs.CV2021★ 6 cited

Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview

Zhaoxin Fan, Yazhi Zhu, Yulin He +3

Object pose detection and tracking has recently attracted increasing attention due to its wide applications in many areas, such as autonomous driving, robotics, and augmented reali…

cs.CV2019★ 7 cited

Learning to Reconstruct 3D Manhattan Wireframes from a Single Image

Yichao Zhou, Haozhi Qi, Yuexiang Zhai +4

In this paper, we propose a method to obtain a compact and accurate 3D wireframe representation from a single image by effectively exploiting global structural regularities. Our me…

cs.CV2019★ 36 cited

UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…