Ye Yuan

40

Papers

517

Total Citations

Papers (40)

DLow: Diversifying Latent Flows for Diverse Human Motion Prediction

Review Networks for Caption Generation

NeurIPS 2016arXiv

GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning

Efficient Non-Line-of-Sight Imaging from Transient Sinograms

PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios

On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving

AdaHuman: Animatable Detailed 3D Human Generation with Compositional Multiview Diffusion

BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation

Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization

NeurIPS 2025arXiv

Generative Hybrid Representations for Activity Forecasting With No-Regret Learning

State-Aware Tracker for Real-Time Video Object Segmentation

Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation

FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding

SimPoE: Simulated Character Control for 3D Human Pose Estimation

GLAMR: Global Occlusion-Aware Human Mesh Recovery With Dynamic Cameras

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

ABD-Net: Attentive but Diverse Person Re-Identification

Ego-Pose Estimation and Forecasting As Real-Time PD Control

Temporal Knowledge Consistency for Unsupervised Visual Representation Learning

AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting

PhysDiff: Physics-Guided Human Motion Diffusion Model

Learning Human Dynamics in Autonomous Driving Scenarios

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition

Syntax-Aware Network for Handwritten Mathematical Expression Recognition

SimAvatar: Simulation-Ready Avatars with Layered Hair and Clothing

GENMO: A GENeralist Model for Human MOtion

GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video Diffusion

Prompt Tuning In a Compact Attribute Space

Real-Time Neural Denoising with Render-Aware Knowledge Distillation

Keypoint-based Progressive Chain-of-Thought Distillation for LLMs

An Iterative Min-Min Optimization Method for Sparse Bayesian Learning

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Scalable Graph Neural Networks via Bidirectional Propagation

Beta R-CNN: Looking into Pedestrian Detection from Another Perspective

Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis

Dynamics-regulated kinematic policy for egocentric pose estimation

Embodied Scene-aware Human Pose Estimation

Reusing Pretrained Models by Multi-linear Operators for Efficient Training

BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction

Importance-aware Co-teaching for Offline Model-based Optimization