182 citations · 560 across the 17 of their papers we have counts for
16 papers · 1 filter
TopoGS: Topology-Aware Anchor Feature Aggregation for Large-Scale 3D Gaussian Splatting
Wei Zhang, Shiqiang Gong, Shengkai Yu +4
Octree-based 3D Gaussian Splatting organizes anchors into multi-level hierarchies for level-of-detail rendering, but features at different levels are typically optimized independen…
SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model
Yang Zhan, Zhitong Xiong, Yuan Yuan
Large language models (LLMs) have recently been extended to the vision-language realm, obtaining impressive general multi-modal capabilities. However, the exploration of multi-moda…
Mono3DVG: 3D Visual Grounding in Monocular Images
Yang Zhan, Yuan Yuan, Zhitong Xiong
We introduce a novel task of 3D visual grounding in monocular RGB images using language descriptions with both appearance and geometry information. Specifically, we build a large-s…
Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval
Yuan Yuan, Yang Zhan, Zhitong Xiong
Vision-and-language pre-training (VLP) models have experienced a surge in popularity recently. By fine-tuning them on specific datasets, significant performance improvements have b…
PolyGNN: Polyhedron-based Graph Neural Network for 3D Building Reconstruction from Point Clouds
Zhaiyu Chen, Yilei Shi, Liangliang Nan +2
We present PolyGNN, a polyhedron-based graph neural network for 3D building reconstruction from point clouds. PolyGNN learns to assemble primitives obtained by polyhedral decomposi…
RSSOD-Bench: A large-scale benchmark dataset for Salient Object Detection in Optical Remote Sensing Imagery
Zhitong Xiong, Yanfeng Liu, Qi Wang +1
We present the RSSOD-Bench dataset for salient object detection (SOD) in optical remote sensing imagery. While SOD has achieved success in natural scene images with deep learning,…
GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data
Zhitong Xiong, Sining Chen, Yi Wang +2
Geometric information in the normalized digital surface models (nDSM) is highly correlated with the semantic class of the land cover. Exploiting two modalities (RGB and nDSM (heigh…
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong +3
Self-supervised pre-training bears potential to generate expressive representations without human annotation. Most pre-training in Earth observation (EO) are based on ImageNet or m…
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data
Yang Zhan, Zhitong Xiong, Yuan Yuan
In this paper, we introduce the task of visual grounding for remote sensing data (RSVG). RSVG aims to localize the referred objects in remote sensing (RS) images with the guidance…
EarthNets: Empowering AI in Earth Observation
Zhitong Xiong, Fahong Zhang, Yi Wang +2
Earth observation (EO), aiming at monitoring the state of planet Earth using remote sensing data, is critical for improving our daily lives and living environment. With a growing n…
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
Zhitong Xiong, Haopeng Li, Xiao Xiang Zhu
Training semantic segmentation models with few annotated samples has great potential in various real-world applications. For the few-shot segmentation task, the main challenge is h…
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation
Zhitong Xiong, Wei Huang, Jingtao Hu +1
Generating 3D city models rapidly is crucial for many applications. Monocular height estimation is one of the most efficient and timely ways to obtain large-scale geometric informa…
Change Detection Meets Visual Question Answering
Zhenghang Yuan, Lichao Mou, Zhitong Xiong +1
The Earth's surface is continually changing, and identifying changes plays an important role in urban planning and sustainability. Although change detection techniques have been su…
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition
Zhitong Xiong, Yuan Yuan, Qi Wang
Indoor scene images usually contain scattered objects and various scene layouts, which make RGB-D scene classification a challenging task. Existing methods still have limitations f…
CM-Net: Concentric Mask based Arbitrary-Shaped Text Detection
Chuang Yang, Mulin Chen, Zhitong Xiong +2
Recently fast arbitrary-shaped text detection has become an attractive research topic. However, most existing methods are non-real-time, which may fall short in intelligent systems…
VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection
Yuan Yuan, Zhitong Xiong, Qi Wang
Although traffic sign detection has been studied for years and great progress has been made with the rise of deep learning technique, there are still many problems remaining to be…