activity
20152023
most citedLearning Depth from Single Images with Deep Neural Network Embedding Focal Length

195 citations · 301 across the 29 of their papers we have counts for

collaborators

29 papers

math.OC2023

Extragradient Type Methods for Riemannian Variational Inequality Problems

Zihao Hu, Guanghui Wang, Xi Wang +3

Riemannian convex optimization and minimax optimization have recently drawn considerable attention. Their appeal lies in their capacity to adeptly manage the non-convexity of the o…

cs.CV2023

On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild

Raiyan Rahman, Christopher Indris, Tianxiao Zhang +5

Aphid infestations can cause extensive damage to wheat and sorghum fields and spread plant viruses, resulting in significant yield losses in agriculture. To address this issue, far…

eess.IV2023

Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI

Xiaojiao Xiao, Qinmin Hu, Guanghui Wang

Simultaneous multi-index quantification, segmentation, and uncertainty estimation of liver tumors on multi-modality non-contrast magnetic resonance imaging (NCMRI) are crucial for…

cs.CV2023★ 1 cited

OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth Estimation

Wentao Chao, Fuqing Duan, Xuechun Wang +2

Light field (LF) depth estimation is a crucial task with numerous practical applications. However, mainstream methods based on the multi-view stereo (MVS) are resource-intensive an…

cs.CV2023

Gender, Smoking History and Age Prediction from Laryngeal Images

Tianxiao Zhang, Andrés M. Bur, Shannon Kraft +5

Flexible laryngoscopy is commonly performed by otolaryngologists to detect laryngeal diseases and to recognize potentially malignant lesions. Recently, researchers have introduced…

cs.CV2022

Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients

Kaidong Li, Ziming Zhang, Cuncong Zhong +1

Deep neural networks for 3D point cloud classification, such as PointNet, have been demonstrated to be vulnerable to adversarial attacks. Current adversarial defenders often learn…