71 citations · 432 across the 57 of their papers we have counts for
14 papers · 1 filter
Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection
Keyan Chen, Chengyang Liu, Wenyuan Li +5
Change detection, a prominent research area in remote sensing, is pivotal in observing and analyzing surface transformations. Despite significant advancements achieved through deep…
PETDet: Proposal Enhancement for Two-Stage Fine-Grained Object Detection
Wentao Li, Danpei Zhao, Bo Yuan +2
Fine-grained object detection (FGOD) extends object detection with the capability of fine-grained recognition. In recent two-stage FGOD methods, the region proposal serves as a cru…
Pixel-Level Change Detection Pseudo-Label Learning for Remote Sensing Change Captioning
Chenyang Liu, Keyan Chen, Zipeng Qi +3
The existing methods for Remote Sensing Image Change Captioning (RSICC) perform well in simple scenes but exhibit poorer performance in complex scenes. This limitation is primarily…
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory
Danpei Zhao, Bo Yuan, Zhenwei Shi
As a front-burner problem in incremental learning, class incremental semantic segmentation (CISS) is plagued by catastrophic forgetting and semantic drift. Although recent methods…
Zero-shot Text-driven Physically Interpretable Face Editing
Yapeng Meng, Songru Yang, Xu Hu +4
This paper proposes a novel and physically interpretable method for face editing based on arbitrary text prompts. Different from previous GAN-inversion-based face editing methods t…
Zero-Shot Image Harmonization with Generative Model Prior
Jianqi Chen, Yilan Zhang, Zhengxia Zou +2
We propose a zero-shot approach to image harmonization, aiming to overcome the reliance on large amounts of synthetic composite images in existing methods. These methods, while sho…
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Keyan Chen, Chenyang Liu, Hao Chen +4
Leveraging the extensive training data from SA-1B, the Segment Anything Model (SAM) demonstrates remarkable generalization and zero-shot capabilities. However, as a category-agnost…
Continuous Cross-resolution Remote Sensing Image Change Detection
Hao Chen, Haotian Zhang, Keyan Chen +4
Most contemporary supervised Remote Sensing (RS) image Change Detection (CD) approaches are customized for equal-resolution bitemporal images. Real-world applications raise the nee…
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Jianqi Chen, Hao Chen, Keyan Chen +3
Many existing adversarial attacks generate -norm perturbations on image RGB space. Despite some achievements in transferability and attack success rate, the crafted adversaria…
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation
Zipeng Qi, Hao Chen, Chenyang Liu +2
The mainstream CNN-based remote sensing (RS) image semantic segmentation approaches typically rely on massive labeled training data. Such a paradigm struggles with the problem of R…
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Rui Zhao, Wei Li, Zhipeng Hu +4
Recent popular Role-Playing Games (RPGs) saw the great success of character auto-creation systems. The bone-driven face model controlled by continuous parameters (like the position…
Dense Pixel-to-Pixel Harmonization via Continuous Image Representation
Jianqi Chen, Yilan Zhang, Zhengxia Zou +2
High-resolution (HR) image harmonization is of great significance in real-world applications such as image synthesis and image editing. However, due to the high memory costs, exist…
Progressive Scale-aware Network for Remote sensing Image Change Captioning
Chenyang Liu, Jiajun Yang, Zipeng Qi +2
Remote sensing (RS) images contain numerous objects of different scales, which poses significant challenges for the RS image change captioning (RSICC) task to identify visual chang…
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space
Keyan Chen, Wenyuan Li, Sen Lei +4
Despite its fruitful applications in remote sensing, image super-resolution is troublesome to train and deploy as it handles different resolution magnifications with separate model…