activity
20162026
most citedStructure-Preserving Image Super-resolution via Contextualized Multi-task Learning

62 citations · 264 across the 49 of their papers we have counts for

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13 papers · 1 filter

cs.CV2025

SceneMaker: Open-set 3D Scene Generation with Decoupled De-occlusion and Pose Estimation Model

Yukai Shi, Weiyu Li, Zihao Wang +4

We propose a decoupled 3D scene generation framework called SceneMaker in this work. Due to the lack of sufficient open-set de-occlusion and pose estimation priors, existing method…

cs.CV2025

AngularFuse: A Closer Look at Angle-based Perception for Spatial-Sensitive Multi-Modality Image Fusion

Xiaopeng Liu, Yupei Lin, Sen Zhang +3

Visible-infrared image fusion is crucial in key applications such as autonomous driving and nighttime surveillance. Its main goal is to integrate multimodal information to produce…

cs.CV2025

Ivan-ISTD: Rethinking Cross-domain Heteroscedastic Noise Perturbations in Infrared Small Target Detection

Yuehui Li, Yahao Lu, Haoyuan Wu +3

In the multimedia domain, Infrared Small Target Detection (ISTD) plays a important role in drone-based multi-modality sensing. To address the dual challenges of cross-domain shift…

cs.CV2025

DroneSR: Rethinking Few-shot Thermal Image Super-Resolution from Drone-based Perspective

Zhipeng Weng, Xiaopeng Liu, Ce Liu +3

Although large scale models achieve significant improvements in performance, the overfitting challenge still frequently undermines their generalization ability. In super resolution…

cs.CV2025

SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features

Jinyuan Qu, Hongyang Li, Xingyu Chen +5

In this paper, we present SegDINO3D, a novel Transformer encoder-decoder framework for 3D instance segmentation. As 3D training data is generally not as sufficient as 2D training i…

cs.CV2025

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection

Junyao Li, Yahao Lu, Xingyuan Guo +3

Infrared small target detection (ISTD) plays a vital role in numerous practical applications. In pursuit of determining the performance boundaries, researchers employ large and exp…