Publications (18)
CompoVista: A Composition-Graph-Based Visual Analytics System for Compositional Analysis of Traditional Chinese Paintings
Dekun Qian, Ruiqi Yu, Fengling Zheng +6
Compositional analysis of Traditional Chinese Paintings (TCPs) reveals how spatial arrangement, narrative structure, and cultural-aesthetic meaning are organized within the pictori…
COIVis: Eye-tracking-based Visual Exploration of Concept Learning in MOOC Videos
Zhiguang Zhou, Ruiqi Yu, Yuming Ma +7
Massive Open Online Courses (MOOCs) make high-quality instruction accessible. However, the lack of face-to-face interaction makes it difficult for instructors to obtain feedback on…
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
Yang Nan, Xiaodan Xing, Shiyi Wang +38
Airway-related quantitative imaging biomarkers are crucial for examination, diagnosis, and prognosis in pulmonary diseases. However, the manual delineation of airway trees remains…
Setting the Stage: Text-Driven Scene-Consistent Image Generation
Cong Xie, Che Wang, Yan Zhang +4
We focus on the foundational task of Scene Staging: given a reference scene image and a text condition specifying an actor category to be generated in the scene and its spatial rel…
GraphQAG: A Knowledge-Graph-Guided Visual Analytics Framework for Question-Answer Pairs Generation
Yize Li, Ruiqi Yu, Tianya Pan +5
GraphQAG is a visual analytics system that builds a knowledge graph from long documents to guide large language model generation of question‑answer pairs, allowing users to explore…
Reframing Music-Driven 2D Dance Pose Generation as Multi-Channel Image Generation
Yan Zhang, Han Zou, Lincong Feng +3
Recent pose-to-video models can translate 2D pose sequences into photorealistic, identity-preserving dance videos, so the key challenge is to generate temporally coherent, rhythm-a…
SerialGen: Personalized Image Generation by First Standardization Then Personalization
Cong Xie, Han Zou, Ruiqi Yu +2
In this work, we are interested in achieving both high text controllability and whole-body appearance consistency in the generation of personalized human characters. We propose a n…
SFDATrack: Generalized Source-Free Domain Adaptive Tracking Under Adverse Weather Conditions
Siyuan Yao, Ziqi Wang, Ruiqi Yu +3
Domain adaptive visual object tracking under adverse weather conditions has garnered significant attention in recent years. Despite the impressive performance, existing methods hea…
SketchAssist: A Practical Assistant for Semantic Edits and Precise Local Redrawing
Han Zou, Yan Zhang, Ruiqi Yu +3
Sketch editing requires jointly handling high-level semantic changes and precise local redrawing, a combination that is particularly challenging for sparse, style-sensitive line ar…
CAMotion: A High-Quality Benchmark for Camouflaged Moving Object Detection in the Wild
Siyuan Yao, Hao Sun, Ruiqi Yu +3
Discovering camouflaged objects is a challenging task in computer vision due to the high similarity between camouflaged objects and their surroundings. While the problem of camoufl…
Toward Understanding Key Estimation in Learning Robust Humanoid Locomotion
Zhicheng Wang, Wandi Wei, Ruiqi Yu +2
Accurate state estimation plays a critical role in ensuring the robust control of humanoid robots, particularly in the context of learning-based control policies for legged robots.…
KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion
Peizhuo Li, Hongyi Li, Yuxuan Ma +8
Vision-based locomotion has shown great promise in enabling legged robots to perceive and adapt to complex environments. However, visual information is inherently fragile, being vu…
START: Traversing Sparse Footholds with Terrain Reconstruction
Ruiqi Yu, Qianshi Wang, Hongyi Li +4
Traversing terrains with sparse footholds like legged animals presents a promising yet challenging task for quadruped robots, as it requires precise environmental perception and ag…
CReF: Cross-modal and Recurrent Fusion for Depth-conditioned Humanoid Locomotion
Yuan Hao, Ruiqi Yu, Shixin Luo +3
Stable traversal over geometrically complex terrain increasingly requires exteroceptive perception, yet prior perceptive humanoid locomotion methods often remain tied to explicit g…
Walking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds
Ruiqi Yu, Qianshi Wang, Yizhen Wang +3
Traversing risky terrains with sparse footholds presents significant challenges for legged robots, requiring precise foot placement in safe areas. To acquire comprehensive exteroce…
SSR: Scaling Surefooted and Symmetric Humanoid Traversal to the Open World
Ruiqi Yu, Yiwen Wang, Yuan Hao +2
Extending humanoid traversal to the open world is key to practical deployment in human environments, but remains challenging. The robot must use vision to ensure safe and reliable…
HyperMOOC: Augmenting MOOC Videos with Concept-based Embedded Visualizations
Li Ye, Lei Wang, Lihong Cai +5
Massive Open Online Courses (MOOCs) have become increasingly popular worldwide. However, learners primarily rely on watching videos, easily losing knowledge context and reducing le…
PIE: Parkour with Implicit-Explicit Learning Framework for Legged Robots
Shixin Luo, Songbo Li, Ruiqi Yu +3
Parkour presents a highly challenging task for legged robots, requiring them to traverse various terrains with agile and smooth locomotion. This necessitates comprehensive understa…