6 citations · 6 across the 11 of their papers we have counts for
11 papers
Decoupled Object-Centric Video Understanding for Generating Robotic Manipulation Commands
Thanh Nguyen Canh, Thanh-Tuan Tran, Haolan Zhang +3
Translating video demonstrations into executable robot commands remains challenging because existing methods often fail to identify which objects are functionally involved in the d…
Con-DSO: Learning Short-Horizon Consistency Priors for RGB-D Direct Sparse Odometry
Haolan Zhang, Thanh Nguyen Canh, Chenghao Li +3
RGB-D direct visual odometry (VO) benefits from metric depth measurements but often degrades in the presence of dynamic objects, occlusions, illumination changes, and unreliable de…
Visual Prompt Guided Unified Pushing Policy
Hieu Bui, Ziyan Gao, Yuya Hosoda +1
As one of the simplest non-prehensile manipulation skills, pushing has been widely studied as an effective means to rearrange objects. Existing approaches, however, typically rely…
Human-to-Robot Interaction: Learning from Video Demonstration for Robot Imitation
Thanh Nguyen Canh, Thanh-Tuan Tran, Haolan Zhang +3
Learning from Demonstration (LfD) offers a promising paradigm for robot skill acquisition. Recent approaches attempt to extract manipulation commands directly from video demonstrat…
Online 3D Bin Packing with Fast Stability Validation and Stable Rearrangement Planning
Ziyan Gao, Lijun Wang, Yuntao Kong +1
The Online Bin Packing Problem (OBPP) is a sequential decision-making task in which each item must be placed immediately upon arrival, with no knowledge of future arrivals. Althoug…
HMAFlow: Learning More Accurate Optical Flow via Hierarchical Motion Field Alignment
Dianbo Ma, Kousuke Imamura, Ziyan Gao +2
Optical flow estimation is a fundamental and long-standing visual task. In this work, we present a novel method, dubbed HMAFlow, to improve optical flow estimation in challenging s…
An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable Placement
Peiwen Zhou, Ziyan Gao, Chenghao Li +1
This paper presents an efficient deep reinforcement learning (DRL) framework for online 3D bin packing (3D-BPP). The 3D-BPP is an NP-hard problem significant in logistics, warehous…
SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction
Wei Wu, Xiaoxin Feng, Ziyan Gao +1
Data-driven autonomous driving motion generation tasks are frequently impacted by the limitations of dataset size and the domain gap between datasets, which precludes their extensi…
BERP: A Blind Estimator of Room Parameters for Single-Channel Noisy Speech Signals
Lijun Wang, Yixian Lu, Ziyan Gao +4
Room acoustical parameters (RAPs), room geometrical parameters (RGPs) and instantaneous occupancy level are essential metrics for parameterizing the room acoustical characteristics…
Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking
Dianbo Ma, Jianqiang Xiao, Ziyan Gao +1
In this work, we propose a novel staged depthwise correlation and feature fusion network, named DCFFNet, to further optimize the feature extraction for visual tracking. We build ou…
Multi-objective Non-cooperative Game Model for Cost-based Task Scheduling in Computational Grid
Ziyan Gao, Yong Wang, Yifan Gao +1
Task scheduling is an important and complex problem in computational grid. A computational grid often covers a range of different kinds of nodes, which offers a complex environment…