18 citations · 19 across the 11 of their papers we have counts for
12 papers
BeyondRetarget: Learning Executable Humanoid Motions Directly from Monocular Video
Tianyu Xiong, Yi Lu, Jinrui Wang +6
Learning executable motions from human videos offers a scalable solution for humanoid robots to acquire demonstration motions. However, existing pipelines typically first construct…
SalientGS: Unified SfM-to-3DGS with Importance-Guided MCMC Gaussian Allocation
Tianyu Xiong, Rui Li, Suning Ge +1
Reconstructing 3D scenes from unordered images remains bottlenecked by expensive Structure-from-Motion (SfM) preprocessing and frozen pose interfaces. We present SalientGS, a unifi…
PressMimic: Pressure-Guided Motion Capture and Control for Humanoid Robot Imitation
Yi Lu, Shenghao Ren, Tianyu Xiong +6
Humanoid motion imitation requires not only accurate perception of human kinematics but also faithful reproduction of physical interactions with the environment. However, existing…
Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields
Tianyu Xiong, Skylar Wurster, Han-Wei Shen
Implicit Neural Representations (INRs) have emerged as promising surrogates for large 3D scientific simulations due to their ability to continuously model spatial and conditional f…
GloSplat: Joint Pose-Appearance Optimization for Faster and More Accurate 3D Reconstruction
Tianyu Xiong, Rui Li, Linjie Li +1
Feature extraction, matching, structure from motion (SfM), and novel view synthesis (NVS) have traditionally been treated as separate problems with independent optimization objecti…
DiffPose-Animal: A Language-Conditioned Diffusion Framework for Animal Pose Estimation
Tianyu Xiong, Dayi Tan, Wei Tian
Animal pose estimation is a fundamental task in computer vision, with growing importance in ecological monitoring, behavioral analysis, and intelligent livestock management. Compar…
FA-INR: Adaptive Implicit Neural Representations for Interpretable Exploration of Simulation Ensembles
Ziwei Li, Yuhan Duan, Tianyu Xiong +3
Surrogate models are essential for efficient exploration of large-scale ensemble simulations. Implicit neural representations (INRs) provide a compact and continuous framework for…
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
Tianyu Xiong, Skylar W. Wurster, Hanqi Guo +2
Feature grid Scene Representation Networks (SRNs) have been applied to scientific data as compact functional surrogates for analysis and visualization. As SRNs are black-box lossy…
Multi-Tower Multi-Interest Recommendation with User Representation Repel
Tianyu Xiong, Xiaohan Yu
In the era of information overload, the value of recommender systems has been profoundly recognized in academia and industry alike. Multi-interest sequential recommendation, in par…
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu, Guoshun Nan, Tianyu Xiong +6
Graph convolution networks (GCNs) are extensively utilized in various graph tasks to mine knowledge from spatial data. Our study marks the pioneering attempt to quantitatively inve…
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization
Skylar Wolfgang Wurster, Tianyu Xiong, Han-Wei Shen +2
Scene representation networks (SRNs) have been recently proposed for compression and visualization of scientific data. However, state-of-the-art SRNs do not adapt the allocation of…
Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset
Haoyu Li, Tianyu Xiong, Han-Wei Shen
Particle tracing through numerical integration is a well-known approach to generating pathlines for visualization. However, for particle simulations, the computation of pathlines i…