71 citations · 220 across the 34 of their papers we have counts for
24 papers · 1 filter
JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents
Yunlong Lin, Zixu Lin, Zhaohu Xing +23
Creative AI is moving from single-step asset generation toward long-horizon multimodal production. Although recent generative models can synthesize high-quality images, videos, aud…
SegDINO: Introducing Multi-Scale Structure into DINO for Efficient Medical Image Segmentation
Sicheng Yang, Hongqiu Wang, Zhaohu Xing +5
Self-supervised DINO models provide strong transferable visual representations, yet applying them directly to image segmentation remains challenging. Existing approaches commonly r…
SCOPE: Simulating Cross-game Operations in Playable Environments for FPS World Models
Zizhao Tong, Yeying Jin, Hongfeng Lai +11
Interactive world models for first-person shooter (FPS) games must resolve high-frequency overlapping control signals at every frame without disrupting unaffected regions. Existing…
EchoPilot: Training-Free Ultrasound Video Segmentation via Scale-Space Semantic Prompting and Reliability-Gated Memory
Ruiqiang Xiao, Zhaohu Xing, Yijun Yang +4
Ultrasound video segmentation is clinically valuable yet difficult due to speckle noise, weak boundaries, and rapid anatomical deformation. Recent promptable foundation models enab…
GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation
Sixiang Chen, Zhaohu Xing, Tian Ye +7
Open-ended image generation is no longer a simple prompt-to-image problem. High-quality generation often requires an agent to combine a model's internal generative ability with ext…
ReactiveGWM: Flexible Control and NPC Reactivity in Game World Models
Zeqing Wang, Danze Chen, Zhaohu Xing +4
Existing game world models typically adopt role-specific interactions, where player and NPC roles are bound to fixed characters. This limits their flexibility in multi-character ga…
Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models
Shangwen Zhu, Qianyu Peng, Zhao Pu +12
Modern interactive video world models have achieved impressive visual fidelity, yet lack fine-grained multi-entity control and cross-entity, cross-world generalization. We trace th…
LucidNFT: LR-Anchored Multi-Reward Preference Optimization for Flow-Based Real-World Super-Resolution
Song Fei, Tian Ye, Sixiang Chen +3
Generative real-world image super-resolution (Real-ISR) can synthesize visually convincing details from severely degraded low-resolution (LR) inputs, yet its stochastic sampling ma…
Toward Real-World High-Precision Image Matting and Segmentation
Haipeng Zhou, Zhaohu Xing, Hongqiu Wang +3
High-precision scene parsing tasks, including image matting and dichotomous segmentation, aim to accurately predict masks with extremely fine details (such as hair). Most existing…
VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation
Sicheng Yang, Zhaohu Xing, Lei Zhu
Consistency learning with feature perturbation is a widely used strategy in semi-supervised medical image segmentation. However, many existing perturbation methods rely on dropout,…
K-Stain: Keypoint-Driven Correspondence for H&E-to-IHC Virtual Staining
Sicheng Yang, Zhaohu Xing, Haipeng Zhou +1
Virtual staining offers a promising method for converting Hematoxylin and Eosin (H&E) images into Immunohistochemical (IHC) images, eliminating the need for costly chemical process…
Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery
Pengfei Hao, Hongqiu Wang, Shuaibo Li +4
In recent years, Visual Question Localized-Answering in robotic surgery (Surgical-VQLA) has gained significant attention for its potential to assist medical students and junior doc…
Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
Shuaibo Li, Zhaohu Xing, Hongqiu Wang +4
The rapid advancement of generative AI in medical imaging has introduced both significant opportunities and serious challenges, especially the risk that fake medical images could u…
HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation
Weitong Wu, Zhaohu Xing, Jing Gong +2
In the domain of 3D biomedical image segmentation, Mamba exhibits the superior performance for it addresses the limitations in modeling long-range dependencies inherent to CNNs and…
SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3
Sicheng Yang, Hongqiu Wang, Zhaohu Xing +2
The DINO family of self-supervised vision models has shown remarkable transferability, yet effectively adapting their representations for segmentation remains challenging. Existing…
PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
SiXiang Chen, Jianyu Lai, Jialin Gao +11
Generating aesthetic posters is more challenging than simple design images: it requires not only precise text rendering but also the seamless integration of abstract artistic conte…
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang +50
How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified…
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
Sixiang Chen, Tian Ye, Kai Zhang +3
Recent advancements in adverse weather restoration have shown potential, yet the unpredictable and varied combinations of weather degradations in the real world pose significant ch…
Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
Yingling Lu, Yijun Yang, Zhaohu Xing +2
Diffusion Probabilistic Models have recently attracted significant attention in the community of computer vision due to their outstanding performance. However, while a substantial…
Timeline and Boundary Guided Diffusion Network for Video Shadow Detection
Haipeng Zhou, Honqiu Wang, Tian Ye +5
Video Shadow Detection (VSD) aims to detect the shadow masks with frame sequence. Existing works suffer from inefficient temporal learning. Moreover, few works address the VSD prob…
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
Yunlong Lin, Tian Ye, Sixiang Chen +6
Existing low-light image enhancement (LIE) methods have achieved noteworthy success in solving synthetic distortions, yet they often fall short in practical applications. The limit…
Vivim: a Video Vision Mamba for Medical Video Segmentation
Yijun Yang, Zhaohu Xing, Lequan Yu +3
Medical video segmentation gains increasing attention in clinical practice due to the redundant dynamic references in video frames. However, traditional convolutional neural networ…
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Zhaohu Xing, Tian Ye, Yijun Yang +2
The Transformer architecture has shown a remarkable ability in modeling global relationships. However, it poses a significant computational challenge when processing high-dimension…
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Zhaohu Xing, Lei Zhu, Lequan Yu +2
Masked image modeling (MIM) with transformer backbones has recently been exploited as a powerful self-supervised pre-training technique. The existing MIM methods adopt the strategy…