Search Results for author: He Kong

Found 5 papers, 3 papers with code

Asynchronous Microphone Array Calibration using Hybrid TDOA Information

2 code implementations9 Mar 2024 Chengjie Zhang, Jiang Wang, He Kong

Asynchronous microphone array calibration is a prerequisite for most audition robot applications.

ScreenAgent: A Vision Language Model-driven Computer Control Agent

1 code implementation9 Feb 2024 Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu, Xueyuan Leng, He Kong, Yi Chang, Qi Wang

Additionally, we construct the ScreenAgent Dataset, which collects screenshots and action sequences when completing a variety of daily computer tasks.

Language Modelling

Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction

no code implementations10 Jan 2024 Yu Liu, Yuexin Zhang, Kunming Li, Yongliang Qiao, Stewart Worrall, You-Fu Li, He Kong

To overcome this limitation, this paper proposes a graph transformer structure to improve prediction performance, capturing the differences between the various sites and scenarios contained in the datasets.

Autonomous Vehicles Domain Adaptation +2

On Embeddings and Inverse Embeddings of Input Design for Regularized System Identification

no code implementations27 Sep 2022 Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu

For the emerging regularized system identification, the study on input design has just started, and it is often formulated as a non-convex optimization problem that minimizes a scalar measure of the Bayesian mean squared error matrix subject to certain constraints, and the state-of-art method is the so-called quadratic mapping and inverse embedding (QMIE) method, where a time domain inverse embedding (TDIE) is proposed to find the inverse of the quadratic mapping.

Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search

1 code implementation30 Jan 2020 Stuart Eiffert, He Kong, Navid Pirmarzdashti, Salah Sukkarieh

State of the art methods for robotic path planning in dynamic environments, such as crowds or traffic, rely on hand crafted motion models for agents.

Collision Avoidance motion prediction

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