output
20062026
most citedCountry Image in COVID-19 Pandemic: A Case Study of China

38 citations

Showing cs.CVShow all

13 papers · 1 filter

cs.CV2026

LDFE: Laplacian Decoupled Feature Enhancement Block for Dual-Stream CNN-based RGB-IR Object Detection

Wenhao Dong, Xiaoyan Luo, Linlin Yang +4

The complementary information between RGB and IR images can significantly enhance object detection performance under extreme conditions. Existing methods prefer dual-stream CNN bac…

cs.CV2026★ 7 cited

Innovative Tooth Segmentation Using Hierarchical Features and Bidirectional Sequence Modeling

Xinxin Zhao, Jian Jiang, Yan Tian +5

Tooth image segmentation is a cornerstone of dental digitization. However, traditional image encoders relying on fixed-resolution feature maps often lead to discontinuous segmentat…

cs.CV2026★ 2 cited

Temporal Consistency-Aware Text-to-Motion Generation

Hongsong Wang, Wenjing Yan, Qiuxia Lai +1

Text-to-Motion (T2M) generation aims to synthesize realistic human motion sequences from natural language descriptions. While two-stage frameworks leveraging discrete motion repres…

cs.CV2025★ 6 cited

OCFER-Net: Recognizing Facial Expression in Online Learning System

Yi Huo, Lei Zhang

Recently, online learning is very popular, especially under the global epidemic of COVID-19. Besides knowledge distribution, emotion interaction is also very important. It can be o…

cs.CV2024★ 1 cited

InstructHumans: Editing Animated 3D Human Textures with Instructions

Jiayin Zhu, Linlin Yang, Angela Yao

We present InstructHumans, a novel framework for instruction-driven {animatable} 3D human texture editing. Existing text-based 3D editing methods often directly apply Score Distill…

cs.CV2023★ 5 cited

DEVICE: Depth and Visual Concepts Aware Transformer for OCR-based Image Captioning

Dongsheng Xu, Qingbao Huang, Xingmao Zhang +3

OCR-based image captioning is an important but under-explored task, aiming to generate descriptions containing visual objects and scene text. Recent studies have made encouraging p…