papers

Publications (17)

cs.RO2024

Person Re-Identification for Robot Person Following with Online Continual Learning

Hanjing Ye, Jieting Zhao, Yu Zhan +3

Robot person following (RPF) is a crucial capability in human-robot interaction (HRI) applications, allowing a robot to persistently follow a designated person. In practical RPF sc…

cs.RO2026

Follow-Bench: A Unified Motion Planning Benchmark for Socially-Aware Robot Person Following

Hanjing Ye, Weixi Situ, Jianwei Peng +4

Robot person following (RPF) -- mobile robots that follow and assist a specific person -- has emerging applications in personal assistance, security patrols, eldercare, and logisti…

cs.CV2022

Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization

Yu Zhan, Fenghai Li, Renliang Weng +1

In this paper, we propose a novel monocular ray-based 3D (Ray3D) absolute human pose estimation with calibrated camera. Accurate and generalizable absolute 3D human pose estimation…

cs.CV2026

Can Single-View Mesh Reconstruction Generalize to Robot Camera Rotation?

Yu Zhan, Guangcheng Chen, Hanjing Ye +4

Single-view mesh reconstruction predicts object meshes and spatial layouts from a single observation, making it attractive for fast robot spatial reasoning and real-to-sim digital…

physics.app-ph2025

A new approach for the inversion of residual stress based on acoustoelasticity theory and full waveform inversion

Maoyu Xu, Hongjian Zhao, Changsheng Liu +1

Acoustoelasticity theory has been widely used to evaluate the residual stress (or prestress), almost all the available ultrasonic stress detection methods are based on the relation…

cs.CV2025

Monocular Person Localization under Camera Ego-motion

Yu Zhan, Hanjing Ye, Hong Zhang

Localizing a person from a moving monocular camera is critical for Human-Robot Interaction (HRI). To estimate the 3D human position from a 2D image, existing methods either depend…

cs.LG2023

HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks

Chao Hu, Ruishi Yu, Binqi Zeng +5

Hypergraph neural networks (HGNN) have shown superior performance in various deep learning tasks, leveraging the high-order representation ability to formulate complex correlations…

cs.RO2024

Human Orientation Estimation under Partial Observation

Jieting Zhao, Hanjing Ye, Yu Zhan +2

Reliable Human Orientation Estimation (HOE) from a monocular image is critical for autonomous agents to understand human intention. Significant progress has been made in HOE under…

cs.CV2019

Instance Search via Instance Level Segmentation and Feature Representation

Yu Zhan, Wan-Lei Zhao

Instance search is an interesting task as well as a challenging issue due to the lack of effective feature representation. In this paper, an instance level feature representation b…

cs.RO2025

TPT-Bench: A Large-Scale, Long-Term and Robot-Egocentric Dataset for Benchmarking Target Person Tracking

Hanjing Ye, Yu Zhan, Weixi Situ +6

Tracking a target person from robot-egocentric views is crucial for developing autonomous robots that provide continuous personalized assistance or collaboration in Human-Robot Int…

cs.LG2026

Fitting Unknown Number of Hyperplanes with Manifold Optimization

Zhiqin Cheng, Yu Zhan, Mingjin Zhang +2

Fitting an unknown number of hyperplanes to data is a fundamental yet challenging problem in machine learning, characterized by its non-convexity, non-differentiability, and unknow…

cs.CV2026

SoulX-FlashTalk: Real-Time Infinite Streaming of Audio-Driven Avatars via Self-Correcting Bidirectional Distillation

Le Shen, Qian Qiao, Tan Yu +7

Deploying massive diffusion models for real-time, infinite-duration, audio-driven avatar generation presents a significant engineering challenge, primarily due to the conflict betw…

cs.RO2025

MfNeuPAN: Proactive End-to-End Navigation in Dynamic Environments via Direct Multi-Frame Point Constraints

Yiwen Ying, Hanjing Ye, Senzi Luo +4

Obstacle avoidance in complex and dynamic environments is a critical challenge for real-time robot navigation. Model-based and learning-based methods often fail in highly dynamic s…

physics.app-ph2024

The weak form method for acoustoelastic simulation with arbitrary prestress

Xu Maoyu, Changsheng Liu, Yu Zhan

Acoustoelastic theory has been widely used to evaluate the residual stress (or prestress). However, most of the research remains focused on plate under simple tensile stress condit…

cs.RO2025

Adap-RPF: Adaptive Trajectory Sampling for Robot Person Following in Dynamic Crowded Environments

Weixi Situ, Hanjing Ye, Jianwei Peng +2

Robot person following (RPF) is a core capability in human-robot interaction, enabling robots to assist users in daily activities, collaborative work, and other service scenarios.…

cs.RO2025

RPF-Search: Field-based Search for Robot Person Following in Unknown Dynamic Environments

Hanjing Ye, Kuanqi Cai, Yu Zhan +3

Autonomous robot person-following (RPF) systems are crucial for personal assistance and security but suffer from target loss due to occlusions in dynamic, unknown environments. Cur…

cs.RO2026

Learning Robot Visual Navigation in Crowds via Intention-Aware Scene Representations

Han Bao, Bingyi Xia, Hanjing Ye +5

Robot crowd navigation requires the ability to infer human intentions while accounting for the structural constraints of the environment. Currently, deep reinforcement learning (DR…