1 citations · 1 across the 8 of their papers we have counts for
8 papers
MotionCraft: Latent World Modeling with Sparse Attention for Visual Upscaling
Rong Fu, Chunlei Meng, Yangchen Zeng +9
Video super-resolution (VSR) aims to recover high-fidelity high-resolution videos from low-resolution inputs and is central to applications ranging from mobile capture to streaming…
ObliCity: A Benchmark and Baseline for Roof-to-Ground Projection Displacement Correction
Kai Li, Yupeng Deng, Ligao Deng +6
Oblique-view urban remote sensing imagery inevitably exhibits geometric projection displacements between building roofs and footprints, leading to significant distortions in spatia…
Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation
Chenhao Wang, Yingrui Ji, Yu Meng +1
Open-vocabulary segmentation models often struggle to generalize to unseen combinations of object categories and attributes, because fine-grained descriptions are typically encoded…
RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
Chenhao Wang, Yingrui Ji, Yu Meng +2
Out-of-distribution (OOD) detection represents a critical challenge in remote sensing applications, where reliable identification of novel or anomalous patterns is essential for au…
SOPSeg: Prompt-based Small Object Instance Segmentation in Remote Sensing Imagery
Chenhao Wang, Yingrui Ji, Yu Meng +2
Extracting small objects from remote sensing imagery plays a vital role in various applications, including urban planning, environmental monitoring, and disaster management. While…
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization
Yingrui Ji, Xi Xiao, Gaofei Chen +5
Contrastive Language-Image Pretraining (CLIP) has achieved remarkable success in cross-modal tasks such as zero-shot image classification and text-image retrieval by effectively al…
E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction
Jiacheng Xie, Yingrui Ji, Linghuan Zeng +5
Accurate prediction of CB2 receptor ligand activity is pivotal for advancing drug discovery targeting this receptor, which is implicated in inflammation, pain management, and neuro…
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
Yingrui Ji, Yao Zhu, Zhigang Li +3
In the dynamic realms of machine learning and deep learning, the robustness and reliability of models are paramount, especially in critical real-world applications. A fundamental c…