2 citations · 3 across the 10 of their papers we have counts for
10 papers
STAR-IOD: Scale-decoupled Topology Alignment with Pseudo-label Refinement for Remote Sensing Incremental Object Detection
Yaoteng Zhang, Qing Zhou, Junyu Gao +1
Remote sensing imagery typically arrives in the form of continuous data streams. Traditional detectors often forget previously learned categories when learning new ones; therefore,…
Batch Loss Score for Dynamic Data Pruning
Qing Zhou, Bingxuan Zhao, Tao Yang +3
Dynamic data pruning accelerates deep learning by selectively omitting less informative samples during training. While per-sample loss is a common importance metric, obtaining it c…
Efficient Reasoning via Thought Compression for Language Segmentation
Qing Zhou, Shiyu Zhang, Yuyu Jia +4
Chain-of-thought (CoT) reasoning has significantly improved the performance of large multimodal models in language-guided segmentation, yet its prohibitive computational cost, stem…
Discriminative Perception via Anchored Description for Reasoning Segmentation
Tao Yang, Qing Zhou, Yanliang Li +1
Reasoning segmentation increasingly employs reinforcement learning to generate explanatory reasoning chains that guide Multimodal Large Language Models. While these geometric rewar…
SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis
Bingxuan Zhao, Qing Zhou, Chuang Yang +2
Text-to-image synthesis for remote sensing (RS) lacks an accessible, high-performance generative foundation, as directly training diffusion models at large, high resolutions is com…
Scale Efficient Training for Large Datasets
Qing Zhou, Junyu Gao, Qi Wang
The rapid growth of dataset scales has been a key driver in advancing deep learning research. However, as dataset scale increases, the training process becomes increasingly ineffic…
A Benchmark for Multi-Lingual Vision-Language Learning in Remote Sensing Image Captioning
Qing Zhou, Tao Yang, Junyu Gao +3
Remote Sensing Image Captioning (RSIC) is a cross-modal field bridging vision and language, aimed at automatically generating natural language descriptions of features and scenes i…
MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing
Chuang Yang, Bingxuan Zhao, Qing Zhou +1
The rapid advancement of deep generative models (DGMs) has significantly advanced research in computer vision, providing a cost-effective alternative to acquiring vast quantities o…
Text-only Synthesis for Image Captioning
Qing Zhou, Junlin Huang, Qiang Li +2
From paired image-text training to text-only training for image captioning, the pursuit of relaxing the requirements for high-cost and large-scale annotation of good quality data r…
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
Yuyu Jia, Qing Zhou, Wei Huang +2
Few-shot learning aims to generalize the recognizer from seen categories to an entirely novel scenario. With only a few support samples, several advanced methods initially introduc…