output
19982026
most citedLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1.9k citations

Showing 2026 · cs.CVShow all

8 papers · 2 filters

cs.CV2026★ 1 cited

Data-Driven Vision-Language Models for Remote Sensing: A Survey

Yue Zhou, Shujun Zhao, Xue Yang +7

During the deep learning era, innovations in remote sensing (RS) vision models primarily focused on optimizing network architectures for specific tasks and conducting end-to-end tr…

cs.CV2026

WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation

Yulin Wang, Mengting Hu, Hongli Li +2

Real-world applications require 6D pose estimation to be accurate, fast, and scalable to unseen objects. This paper introduces WAPR, a zero-shot wide-angle pose refinement model th…

cs.CV2026

From Diffusion to Rectified Flow: Rethinking Text-Based Segmentation

Zishen Qu, Xuesong Li, Haijian Gu +5

Text-based image segmentation aims to delineate object boundaries within an image from text prompts, offering higher flexibility and broader application scope compared to tradition…

cs.CV2026★ 8 cited

Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality

Danfeng Hong, Chenyu Li, Xuyang Li +2

Remote sensing (RS) techniques are increasingly crucial for deepening our understanding of the planet. As the volume and diversity of RS data continue to grow exponentially, there…

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.CV2026★ 2 cited

Decoupled Hierarchical Distillation for Multimodal Emotion Recognition

Yong Li, Yuanzhi Wang, Yi Ding +3

Human multimodal emotion recognition (MER) seeks to infer human emotions by integrating information from language, visual, and acoustic modalities. Although existing MER approaches…

cs.CV2026

UFO-DETR: Frequency-Guided End-to-End Detector for UAV Tiny Objects

Yuankai Chen, Kai Lin, Qihong Wu +6

Small target detection in UAV imagery faces significant challenges such as scale variations, dense distribution, and the dominance of small targets. Existing algorithms rely on man…

cs.CV2026

FluencyVE: Marrying Temporal-Aware Mamba with Bypass Attention for Video Editing

Mingshu Cai, Yixuan Li, Osamu Yoshie +1

Large-scale text-to-image diffusion models have achieved unprecedented success in image generation and editing. However, extending this success to video editing remains challenging…