activity
20222026
most citedBoosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

NeuroSeg Meets DINOv3: Transferring 2D Self-Supervised Visual Priors to 3D Neuron Segmentation via DINOv3 Initialization

Yik San Cheng, Runkai Zhao, Weidong Cai

2D visual foundation models, such as DINOv3, a self-supervised model trained on large-scale natural images, have demonstrated strong zero-shot generalization, capturing both rich g…

cs.CV2025

Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness

Yu Feng, Dingxin Zhang, Runkai Zhao +3

Backdoor attacks pose a severe threat to deep neural networks (DNNs) by implanting hidden backdoors that can be activated with predefined triggers to manipulate model behaviors mal…

cs.CV2025

CA-W3D: Leveraging Context-Aware Knowledge for Weakly Supervised Monocular 3D Detection

Chupeng Liu, Runkai Zhao, Weidong Cai

Weakly supervised monocular 3D detection, while less annotation-intensive, often struggles to capture the global context required for reliable 3D reasoning. Conventional label-effi…

cs.CV2024

Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences

Rui Yu, Runkai Zhao, Cong Nie +3

Accurate and robust LiDAR 3D object detection is essential for comprehensive scene understanding in autonomous driving. Despite its importance, LiDAR detection performance is limit…

cs.CV2024★ 1 cited

Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images

Yik San Cheng, Runkai Zhao, Heng Wang +2

Neuron reconstruction, one of the fundamental tasks in neuroscience, rebuilds neuronal morphology from 3D light microscope imaging data. It plays a critical role in analyzing the s…

cs.CV2023

Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development

Runkai Zhao, Yuwen Heng, Heng Wang +5

Advanced Driver-Assistance Systems (ADAS) have successfully integrated learning-based techniques into vehicle perception and decision-making. However, their application in 3D lane…

cs.CV2022

PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds

Runkai Zhao, Heng Wang, Chaoyi Zhang +1

Digital neuron reconstruction from 3D microscopy images is an essential technique for investigating brain connectomics and neuron morphology. Existing reconstruction frameworks use…