Search Results for author: Ziyu Guo

Found 26 papers, 16 papers with code

TripletMix: Triplet Data Augmentation for 3D Understanding

no code implementations28 May 2024 Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng

Data augmentation has proven to be a vital tool for enhancing the generalization capabilities of deep learning models, especially in the context of 3D vision where traditional datasets are often limited.

3D Object Recognition Data Augmentation +1

LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

no code implementations26 Feb 2024 Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng

We further design an adaptive weight assignment approach that balances the generalization ability of the LLM and the domain expertise of the old CL model.

Continual Learning Language Modelling +3

HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

1 code implementation14 Sep 2023 Ziyu Guo, Weiqin Zhao, Shujun Wang, Lequan Yu

Considering that the information from different resolutions is complementary and can benefit each other during the learning process, we further design a novel Bidirectional Interaction block to establish communication between different levels within the WSI pyramids.

Graph Neural Network whole slide images

Less is More: Towards Efficient Few-shot 3D Semantic Segmentation via Training-free Networks

1 code implementation24 Aug 2023 Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Hao Dong, Peng Gao

However, the prior pre-training stage not only introduces excessive time overhead, but also incurs a significant domain gap on `unseen' classes.

3D Semantic Segmentation Few-shot 3D semantic segmentation +1

Personalize Segment Anything Model with One Shot

1 code implementation4 May 2023 Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Xianzheng Ma, Hao Dong, Peng Gao, Hongsheng Li

Driven by large-data pre-training, Segment Anything Model (SAM) has been demonstrated as a powerful and promptable framework, revolutionizing the segmentation models.

Personalized Segmentation Segmentation +4

Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

2 code implementations14 Mar 2023 Renrui Zhang, Liuhui Wang, Ziyu Guo, Yali Wang, Peng Gao, Hongsheng Li, Jianbo Shi

We present a Non-parametric Network for 3D point cloud analysis, Point-NN, which consists of purely non-learnable components: farthest point sampling (FPS), k-nearest neighbors (k-NN), and pooling operations, with trigonometric functions.

Supervised Only 3D Point Cloud Classification Training-free 3D Part Segmentation +1

Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis

no code implementations1 Mar 2023 Renrui Zhang, Liuhui Wang, Ziyu Guo, Jianbo Shi

Performances on standard 3D point cloud benchmarks have plateaued, resulting in oversized models and complex network design to make a fractional improvement.

3D Object Detection object-detection

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training

no code implementations27 Feb 2023 Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng

In this paper, we explore how the 2D modality can benefit 3D masked autoencoding, and propose Joint-MAE, a 2D-3D joint MAE framework for self-supervised 3D point cloud pre-training.

Decoder Point Cloud Pre-training +1

PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

2 code implementations ICCV 2023 Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao

In this paper, we first collaborate CLIP and GPT to be a unified 3D open-world learner, named as PointCLIP V2, which fully unleashes their potential for zero-shot 3D classification, segmentation, and detection.

3D Classification 3D Object Detection +11

Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface

no code implementations15 Nov 2022 Zihan Yang, Peng Chen, Ziyu Guo, Dahai Ni

In this work, we consider the Direction-of-Arrival (DOA) estimation problem in a low-cost architecture where only one antenna as the receiver is aided by a reconfigurable intelligent surface (RIS).

CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention

1 code implementation28 Sep 2022 Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui

Contrastive Language-Image Pre-training (CLIP) has been shown to learn visual representations with great transferability, which achieves promising accuracy for zero-shot classification.

Training-free 3D Point Cloud Classification Transfer Learning +1

Can Language Understand Depth?

1 code implementation3 Jul 2022 Renrui Zhang, Ziyao Zeng, Ziyu Guo, Yafeng Li

To our best knowledge, we are the first to conduct zero-shot adaptation from the semantic language knowledge to quantified downstream tasks and perform zero-shot monocular depth estimation.

Image Classification Monocular Depth Estimation

Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

3 code implementations28 May 2022 Renrui Zhang, Ziyu Guo, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao, Hongsheng Li, Peng Gao

By fine-tuning on downstream tasks, Point-M2AE achieves 86. 43% accuracy on ScanObjectNN, +3. 36% to the second-best, and largely benefits the few-shot classification, part segmentation and 3D object detection with the hierarchical pre-training scheme.

Ranked #5 on 3D Point Cloud Linear Classification on ModelNet40 (using extra training data)

3D Object Detection 3D Point Cloud Linear Classification +6

A RIS-Based Vehicle DOA Estimation Method With Integrated Sensing and Communication System

1 code implementation25 Apr 2022 Zhimin Chen, Peng Chen, Ziyu Guo, Yudong Zhang, Xianbin Wang

A novel estimation method is proposed in the scenario with a receiver using only one full-functional channel, where multiple measurements for the DOA estimation are achieved by controlling the reflection matrix (measurement matrix) in the RIS.

Reconfigurable Intelligent Surface Aided Sparse DOA Estimation Method With Non-ULA

no code implementations19 Mar 2022 Peng Chen, Zihan Yang, Zhimin Chen, Ziyu Guo

The direction of arrival (DOA) estimation problem is addressed in this letter.

PointCLIP: Point Cloud Understanding by CLIP

2 code implementations CVPR 2022 Renrui Zhang, Ziyu Guo, Wei zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li

On top of that, we design an inter-view adapter to better extract the global feature and adaptively fuse the few-shot knowledge learned from 3D into CLIP pre-trained in 2D.

3D Open-Vocabulary Instance Segmentation Few-Shot Learning +7

VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts

no code implementations4 Dec 2021 Longtian Qiu, Renrui Zhang, Ziyu Guo, Ziyao Zeng, Zilu Guo, Yafeng Li, Guangnan Zhang

Contrastive Language-Image Pre-training (CLIP) has drawn increasing attention recently for its transferable visual representation learning.

Language Modelling Representation Learning +1

Improved Heatmap-based Landmark Detection

no code implementations12 Oct 2021 Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li

This paper proposes a landmark detection network for detecting sutures in endoscopic pictures, which solves the problem of a variable number of suture points in the images.

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