4 citations · 9 across the 27 of their papers we have counts for
30 papers
FIRM: Fine-Grained Intra-Token Representation of Masks for Remote Sensing Reasoning Segmentation
Weidong Tang, Kaiyu Li, Yikai Wang +4
Reasoning segmentation requires multimodal large language models (MLLMs) to translate implicit instructions into precise pixel-level masks. MLLMs encode an image as visual tokens,…
Driver2Map: Imitating Human Driving for Online High-Definition Map Construction
Pan Yin, Runtian Xia, Weisong Kuang +3
High-definition (HD) maps are essential for autonomous driving systems. In constructing such maps, onboard multi-view camera images, standard-definition maps and satellite images p…
OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation
Kaiyu Li, Zepeng Xin, Zixuan Jiang +4
Open-vocabulary Earth observation (EO) aims to localize geospatial concepts specified in natural language rather than a fixed label set. Existing benchmarks, however, usually cover…
CVSBench: A Comprehensive Benchmark for Cross-view Spatial Reasoning and Dreaming
Ruixun Liu, Lingyu Zhang, Lanxuan Xue +3
Humans can effortlessly reason about scenes across different viewpoints, yet it remains unclear whether Vision-Language Models (VLMs) possess similar cross-view spatial abilities.…
Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle
Jiayu Wang, Weijiang Lv, Bowen Fu +8
As foundation models advance and agent scaffolding becomes increasingly sophisticated, agents have demonstrated remarkable proficiency in complex, long-horizon coding tasks and eve…
The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results
Xingyu Qiu, Yuqian Fu, Jiawei Geng +70
Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for existing object detectors and few-shot learning approaches, particularly when generalizing across…
Layout-Guided Controllable Pathology Image Generation with In-Context Diffusion Transformers
Yuntao Shou, Xiangyong Cao, Qian Zhao +1
Controllable pathology image synthesis requires reliable regulation of spatial layout, tissue morphology, and semantic detail. However, existing text-guided diffusion models offer…
Exchange Is All You Need for Remote Sensing Change Detection
Sijun Dong, Siming Fu, Kaiyu Li +3
Remote sensing change detection fundamentally relies on the effective fusion and discrimination of bi-temporal features. Prevailing paradigms typically utilize Siamese encoders bri…
SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images
Zepeng Xin, Kaiyu Li, Luodi Chen +6
Effectively grounding complex language to pixels in remote sensing (RS) images is a critical challenge for applications like disaster response and environmental monitoring. Current…
SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images
Kaiyu Li, Shengqi Zhang, Yujie Wang +4
Most existing methods for training-free open-vocabulary semantic segmentation are based on CLIP. While these approaches have made progress, they often face challenges in precise lo…
Designing Domain-Specific Agents via Hierarchical Task Abstraction Mechanism
Kaiyu Li, Jiayu Wang, Zhi Wang +4
LLM-driven agents, particularly those using general frameworks like ReAct or human-inspired role-playing, often struggle in specialized domains that necessitate rigorously structur…
ZoomEarth: Active Perception for Ultra-High-Resolution Geospatial Vision-Language Tasks
Ruixun Liu, Bowen Fu, Jiayi Song +7
Ultra-high-resolution (UHR) remote sensing (RS) images offer rich fine-grained information but also present challenges in effective processing. Existing dynamic resolution and toke…
DescribeEarth: Describe Anything for Remote Sensing Images
Kaiyu Li, Zixuan Jiang, Xiangyong Cao +4
Automated textual description of remote sensing images is crucial for unlocking their full potential in diverse applications, from environmental monitoring to urban planning and di…
Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images
Kaiyu Li, Xiangyong Cao, Ruixun Liu +4
Semantic segmentation of remote sensing (RS) images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high exp…
RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation
Jiayi Song, Kaiyu Li, Xiangyong Cao +1
Semantic segmentation in remote sensing images is crucial for various applications, yet its performance is heavily reliant on large-scale, high-quality pixel-wise annotations, whic…
SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model
Kaiyu Li, Zepeng Xin, Li Pang +7
Remote sensing has become critical for understanding environmental dynamics, urban planning, and disaster management. However, traditional remote sensing workflows often rely on ex…
DynamicEarth: How Far are We from Open-Vocabulary Change Detection?
Kaiyu Li, Xiangyong Cao, Yupeng Deng +4
Monitoring Earth's evolving land covers requires methods capable of detecting changes across a wide range of categories and contexts. Existing change detection methods are hindered…
SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
Li Pang, Jing Yao, Kaiyu Li +3
Hyperspectral image (HSI) classification aims to categorize each pixel in an HSI into a specific land cover class, which is crucial for applications such as remote sensing, environ…
Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method
Pan Yin, Kaiyu Li, Xiangyong Cao +5
Recently, road graph extraction has garnered increasing attention due to its crucial role in autonomous driving, navigation, etc. However, accurately and efficiently extracting roa…
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction
Yuntao Shou, Peiqiang Yan, Xingjian Yuan +3
In recent years, histopathological whole slide image (WSI)- based survival analysis has attracted much attention in medical image analysis. In practice, WSIs usually come from diff…
SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
Kaiyu Li, Ruixun Liu, Xiangyong Cao +4
Remote sensing image plays an irreplaceable role in fields such as agriculture, water resources, military, and disaster relief. Pixel-level interpretation is a critical aspect of r…
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
Datao Tang, Xiangyong Cao, Xuan Wu +6
Remote sensing image object detection (RSIOD) aims to identify and locate specific objects within satellite or aerial imagery. However, there is a scarcity of labeled data in curre…
MV-CC: Mask Enhanced Video Model for Remote Sensing Change Caption
Ruixun Liu, Kaiyu Li, Jiayi Song +2
Remote sensing image change caption (RSICC) aims to provide natural language descriptions for bi-temporal remote sensing images. Since Change Caption (CC) task requires both spatia…
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
Yuntao Shou, Xiangyong Cao, Deyu Meng
Graph Contrastive Learning (GCL) excels at managing noise and fluctuations in input data, making it popular in various fields (e.g., social networks, and knowledge graphs). Our stu…