Search Results for author: Ziyu Zhu

Found 7 papers, 3 papers with code

3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment

1 code implementation ICCV 2023 Ziyu Zhu, Xiaojian Ma, Yixin Chen, Zhidong Deng, Siyuan Huang, Qing Li

3D vision-language grounding (3D-VL) is an emerging field that aims to connect the 3D physical world with natural language, which is crucial for achieving embodied intelligence.

Dense Captioning Question Answering +3

EasyMergeR: an interactive Shiny application to manipulate multiple XLSX files of multiple sheets

no code implementations8 Aug 2023 Ziyu Zhu, Ximing Xu

The integration of sequencing data with clinical information is a widely accepted strategy in bioinformatics and health informatics.

Stabilizing GANs' Training with Brownian Motion Controller

no code implementations18 Jun 2023 Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu

We theoretically prove that the training process of DiracGANs-BMC is globally exponential stable and derive bounds on the rate of convergence.

ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression

no code implementations20 Nov 2022 Yiqi Jin, Ziyu Zhu, Tongda Xu, Yuhuan Lin, Yan Wang

For octree-based point cloud compression, previous works show that the information of ancestor nodes and sibling nodes are equally important for predicting current node.

DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction

1 code implementation8 Mar 2022 Jiajun Fei, Ziyu Zhu, Wenlei Liu, Zhidong Deng, Mingyang Li, Huanjun Deng, Shuo Zhang

We strictly prove that any permutation-invariant function implemented by DuMLP-Pin can be decomposed into two or more permutation-equivariant ones in a dot-product way as the cardinality of the given input set is greater than a threshold.

Attribute Point Cloud Classification

An encoding framework with brain inner state for natural image identification

no code implementations22 Aug 2019 Hao Wu, Ziyu Zhu, Jiayi Wang, Nanning Zheng, Badong Chen

The framework comprises two parts: forward encoding model that deals with visual stimuli and inner state model that captures influence from intrinsic connections in the brain.

Brain Decoding

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