Search Results for author: Lili Zhao

Found 13 papers, 4 papers with code

HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition

1 code implementation CIKM 2023 Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen

Great efforts have been made on this task with competitive performance, however, they usually treat the two subtasks, namely span detection and type classification, as mutually independent, and the integrity and correlation between subtasks have been largely ignored.

Contrastive Learning Few-shot NER +4

CLIP2TV: Align, Match and Distill for Video-Text Retrieval

no code implementations10 Nov 2021 Zijian Gao, Jingyu Liu, Weiqi Sun, Sheng Chen, Dedan Chang, Lili Zhao

Modern video-text retrieval frameworks basically consist of three parts: video encoder, text encoder and the similarity head.

Ranked #11 on Video Retrieval on MSR-VTT-1kA (using extra training data)

Representation Learning Retrieval +2

Lossless Point Cloud Attribute Compression with Normal-based Intra Prediction

no code implementations23 Jun 2021 Qian Yin, Qingshan Ren, Lili Zhao, Wenyi Wang, Jianwen Chen

In this paper, we propose a normal-based intra prediction scheme, which provides a more efficient lossless attribute compression by introducing the normals of point clouds.

Attribute Autonomous Driving

RAI-Net: Range-Adaptive LiDAR Point Cloud Frame Interpolation Network

no code implementations1 Jun 2021 Lili Zhao, Zezhi Zhu, Xuhu Lin, Xuezhou Guo, Qian Yin, Wenyi Wang, Jianwen Chen

In this paper, we propose a novel LiDAR point cloud frame interpolation method, which exploits range images (RIs) as an intermediate representation with CNNs to conduct the frame interpolation process.

Video Frame Interpolation

An Unsupervised Optical Flow Estimation For LiDAR Image Sequences

no code implementations28 May 2021 Xuezhou Guo, Xuhu Lin, Lili Zhao, Zezhi Zhu, Jianwen Chen

Among these works, the optical flow estimation for LiDAR image sequences has become a key issue, especially for the motion estimation of the inter prediction in PCC.

3D Semantic Segmentation Motion Estimation +1

BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values

no code implementations7 Jan 2021 Dai Feng, Lili Zhao

There has been increasing interest in modeling survival data using deep learning methods in medical research.

Decision Making Survival Analysis

Adverse event enrichment tests using VAERS

3 code implementations5 Jul 2020 Shuoran Li, Lili Zhao

By appropriately addressing the issues of ties and excessive zeros in AE count data, our enrichment tests performed well as demonstrated by simulation studies and analyses of VAERS data.

Methodology

Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty

no code implementations5 Mar 2020 Yongle Luo, Kun Dong, Lili Zhao, Zhiyong Sun, Chao Zhou, Bo Song

The experiment results show that the Dense2Sparse method obtained higher expected reward compared with the ones using standalone dense reward or sparse reward, and it also has a superior tolerance of system uncertainty.

Robot Manipulation

DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values

1 code implementation6 Aug 2019 Lili Zhao, Dai Feng

There has been increasing interest in modelling survival data using deep learning methods in medical research.

Survival Analysis

COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis

no code implementations CVPR 2019 Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie zhou

There are substantial instructional videos on the Internet, which enables us to acquire knowledge for completing various tasks.

Action Detection

Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification

no code implementations ECCV 2018 Yang Du, Chunfeng Yuan, Bing Li, Lili Zhao, Yangxi Li, Weiming Hu

Furthermore, since different layers in a deep network capture feature maps of different scales, we use these feature maps to construct a spatial pyramid and then utilize multi-scale information to obtain more accurate attention scores, which are used to weight the local features in all spatial positions of feature maps to calculate attention maps.

Action Classification Classification +1

Deep Hashing with Category Mask for Fast Video Retrieval

1 code implementation22 Dec 2017 Xu Liu, Lili Zhao, Dajun Ding, Yajiao Dong

This paper proposes an end-to-end deep hashing framework with category mask for fast video retrieval.

Code Generation Deep Hashing +2

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