1 citations · 1 across the 8 of their papers we have counts for
10 papers
Towards High-Resolution Visual Perception via Hierarchical Entity Exploration
Ziyu Ma, Shidong Yang, Yuxiang Ji +5
High-resolution (HR) image perception remains a key challenge in multimodal large language models (MLLMs), as fine-grained details are often lost when the image is processed as a w…
Learning Agentic Policy from Action Guidance
Yuxiang Ji, Zengbin Wang, Yong Wang +6
Agentic reinforcement learning (RL) for Large Language Models (LLMs) critically depends on the exploration capability of the base policy, as training signals emerge only within its…
Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization
Yuxiang Ji, Yong Wang, Ziyu Ma +6
The image geolocalization task aims to predict the location where an image was taken anywhere on Earth using visual clues. Existing large vision-language model (LVLM) approaches le…
Tree Search for LLM Agent Reinforcement Learning
Yuxiang Ji, Ziyu Ma, Yong Wang +3
Recent advances in reinforcement learning (RL) have significantly enhanced the agentic capabilities of large language models (LLMs). In long-term and multi-turn agent tasks, existi…
Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability
Boyong He, Yuxiang Ji, Zhuoyue Tan +1
Detectors often suffer from performance drop due to domain gap between training and testing data. Recent methods explore diffusion models applied to domain generalization (DG) and…
VisLanding: Monocular 3D Perception for UAV Safe Landing via Depth-Normal Synergy
Zhuoyue Tan, Boyong He, Yuxiang Ji +1
This paper presents VisLanding, a monocular 3D perception-based framework for safe UAV (Unmanned Aerial Vehicle) landing. Addressing the core challenge of autonomous UAV landing in…
Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector
Boyong He, Yuxiang Ji, Zhuoyue Tan +1
Object detectors often suffer a decrease in performance due to the large domain gap between the training data (source domain) and real-world data (target domain). Diffusion-based g…
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection
Boyong He, Yuxiang Ji, Qianwen Ye +2
Domain generalization (DG) for object detection aims to enhance detectors' performance in unseen scenarios. This task remains challenging due to complex variations in real-world ap…
Game4Loc: A UAV Geo-Localization Benchmark from Game Data
Yuxiang Ji, Boyong He, Zhuoyue Tan +1
The vision-based geo-localization technology for UAV, serving as a secondary source of GPS information in addition to the global navigation satellite systems (GNSS), can still oper…
Diffusion Features to Bridge Domain Gap for Semantic Segmentation
Yuxiang Ji, Boyong He, Chenyuan Qu +3
Pre-trained diffusion models have demonstrated remarkable proficiency in synthesizing images across a wide range of scenarios with customizable prompts, indicating their effective…