Search Results for author: Shu Li

Found 8 papers, 1 papers with code

Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation

no code implementations10 May 2024 Qibin Liu, Chase Shimmin, Xiulong Liu, Eli Shlizerman, Shu Li, Shih-Chieh Hsu

We introduce a novel machine learning method developed for the fast simulation of calorimeter detector response, adapting vector-quantized variational autoencoder (VQ-VAE).

Efficient Text-driven Motion Generation via Latent Consistency Training

no code implementations5 May 2024 Mengxian Hu, Minghao Zhu, Xun Zhou, Qingqing Yan, Shu Li, Chengju Liu, Qijun Chen

Motion diffusion models excel at text-driven motion generation but struggle with real-time inference since motion sequences are time-axis redundant and solving reverse diffusion trajectory involves tens or hundreds of sequential iterations.


Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity

no code implementations2 Feb 2024 Shu Li, Jingxuan Yang, Honglin He, Yi Zhang, Jianming Hu, Shuo Feng

To alleviate the considerable uncertainty inherent in a small testing scenario set, we frame the FST problem as an optimization problem and search for the testing scenario set based on neighborhood coverage and similarity.

Autonomous Vehicles

Polynomial Width is Sufficient for Set Representation with High-dimensional Features

no code implementations8 Jul 2023 Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li

To investigate the minimal value of $L$ that achieves sufficient expressive power, we present two set-element embedding layers: (a) linear + power activation (LP) and (b) linear + exponential activations (LE).

Inductive Bias

PASTS: Progress-Aware Spatio-Temporal Transformer Speaker For Vision-and-Language Navigation

no code implementations19 May 2023 Liuyi Wang, Chengju Liu, Zongtao He, Shu Li, Qingqing Yan, Huiyi Chen, Qijun Chen

The experimental results demonstrate that PASTS outperforms all existing speaker models and successfully improves the performance of previous VLN models, achieving state-of-the-art performance on the standard Room-to-Room (R2R) dataset.

Data Augmentation Vision and Language Navigation

MLANet: Multi-Level Attention Network with Sub-instruction for Continuous Vision-and-Language Navigation

1 code implementation2 Mar 2023 Zongtao He, Liuyi Wang, Shu Li, Qingqing Yan, Chengju Liu, Qijun Chen

For a better performance in continuous VLN, we design a multi-level instruction understanding procedure and propose a novel model, Multi-Level Attention Network (MLANet).

Navigate Vision and Language Navigation

A density peaks clustering algorithm with sparse search and K-d tree

no code implementations2 Mar 2022 Yunxiao Shan, Shu Li, Fuxiang Li, Yuxin Cui, Shuai Li, Ming Zhou, Xiang Li

It is proved that the algorithm can effectively reduce the computational complexity of the original DPC from $O(n^2K)$ to $O(n(n^{1-1/K}+k))$.

2k Clustering

MiSC: Mixed Strategies Crowdsourcing

no code implementations17 May 2019 Ching-Yun Ko, Rui Lin, Shu Li, Ngai Wong

Popular crowdsourcing techniques mostly focus on evaluating workers' labeling quality before adjusting their weights during label aggregation.

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