ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.08134
  4. Cited By
Parameter is Not All You Need: Starting from Non-Parametric Networks for
  3D Point Cloud Analysis

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

14 March 2023
Renrui Zhang
Liuhui Wang
Ziyu Guo
Yali Wang
Peng Gao
Hongsheng Li
Jianbo Shi
    3DPC
ArXivPDFHTML

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

37 / 37 papers shown
Title
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Yunhong Wang
Wang Chen
Kang Yang
Deying Li
Jianfei Cai
3DPC
83
3
0
17 Jan 2025
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
Xianlong Wang
Minghui Li
Wei Liu
Hangtao Zhang
Shengshan Hu
Yechao Zhang
Ziqi Zhou
Hai Jin
3DPC
MU
42
6
0
04 Oct 2024
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
Yan Chen
Di Huang
Zhichao Liao
Xi Cheng
Xinghui Li
Lone Zeng
3DPC
53
1
0
07 Sep 2024
3D Point Cloud Network Pruning: When Some Weights Do not Matter
3D Point Cloud Network Pruning: When Some Weights Do not Matter
Amrijit Biswas
M. Hossain
M. M. L. Elahi
A. Cheraghian
Fuad Rahman
Nabeel Mohammed
Shafin Rahman
3DPC
26
1
0
26 Aug 2024
Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds
Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds
Kai Liu
Kang-Soo You
Pan Gao
DiffM
31
0
0
20 Aug 2024
GPSFormer: A Global Perception and Local Structure Fitting-based
  Transformer for Point Cloud Understanding
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding
Changshuo Wang
Meiqing Wu
S. Lam
Xin Ning
Shangshu Yu
Ruiping Wang
Weijun Li
T. Srikanthan
49
14
0
18 Jul 2024
Efficient and Generic Point Model for Lossless Point Cloud Attribute
  Compression
Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
Kang-Soo You
Pan Gao
Zhan Ma
3DPC
19
2
0
10 Apr 2024
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D
  Scene Segmentation
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
Xiangyang Zhu
Renrui Zhang
Bowei He
Ziyu Guo
Jiaming Liu
Han Xiao
Chaoyou Fu
Hao Dong
Peng Gao
3DPC
39
9
0
05 Apr 2024
PartSTAD: 2D-to-3D Part Segmentation Task Adaptation
PartSTAD: 2D-to-3D Part Segmentation Task Adaptation
Hyunjin Kim
Minhyuk Sung
51
8
0
11 Jan 2024
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework
  on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous
  Modalities
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities
Runwei Guan
Haocheng Zhao
Shanliang Yao
Ka Lok Man
Xiaohui Zhu
...
Yong Yue
Jeremy S. Smith
Eng Gee Lim
Weiping Ding
Yutao Yue
23
4
0
14 Dec 2023
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D
  Images in Unsupervised Reconstruction
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction
Hongbin Lin
Juangui Xu
Qingfeng Xu
Zhengyu Hu
Handing Xu
Yunzhi Chen
Yongjun Hu
Zhenguo Nie
3DPC
22
0
0
10 Dec 2023
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
Yiwen Tang
Ivan Tang
Ray Gu
Dong Wang
Eric Zhang
Bin Zhao
Xuelong Li
3DPC
29
20
0
04 Oct 2023
ImageBind-LLM: Multi-modality Instruction Tuning
ImageBind-LLM: Multi-modality Instruction Tuning
Jiaming Han
Renrui Zhang
Wenqi Shao
Peng Gao
Peng-Tao Xu
...
Yafei Wen
Xiaoxin Chen
Xiangyu Yue
Hongsheng Li
Yu Qiao
MLLM
49
116
0
07 Sep 2023
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D
  Understanding, Generation, and Instruction Following
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
Ziyu Guo
Renrui Zhang
Xiangyang Zhu
Yiwen Tang
Xianzheng Ma
...
Ke Chen
Peng Gao
Xianzhi Li
Hongsheng Li
Pheng-Ann Heng
MLLM
35
125
0
01 Sep 2023
WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks
  for Autonomous Driving on Water Surfaces
WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces
Shanliang Yao
Runwei Guan
Zhaodong Wu
Yi Ni
Zile Huang
...
H. Seo
Ka Lok Man
Jieming Ma
Xiaohui Zhu
Yutao Yue
26
23
0
13 Jul 2023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in
  Autonomous Driving: A Comprehensive Review
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
Shanliang Yao
Runwei Guan
Xiaoyu Huang
Zhuoxiao Li
Xiangyu Sha
...
Eng Gee Lim
H. Seo
Ka Lok Man
Xiaohui Zhu
Yutao Yue
41
91
0
20 Apr 2023
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior
  Refinement
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement
Xiang-yu Zhu
Renrui Zhang
Bowei He
A-Long Zhou
Dong Wang
Bingyan Zhao
Peng Gao
VLM
32
79
0
03 Apr 2023
ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with
  GPT and Prototype Guidance
ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance
Zoey Guo
Yiwen Tang
Renrui Zhang
Dong Wang
Zhigang Wang
Bin Zhao
Xuelong Li
35
53
0
29 Mar 2023
Revisiting Multimodal Representation in Contrastive Learning: From Patch
  and Token Embeddings to Finite Discrete Tokens
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
Yuxiao Chen
Jianbo Yuan
Yu Tian
Shijie Geng
Xinyu Li
Ding Zhou
Dimitris N. Metaxas
Hongxia Yang
14
33
0
27 Mar 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D
  Object Detection
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
Anthony Chen
Kevin Zhang
Renrui Zhang
Zihan Wang
Yuheng Lu
Yandong Guo
Shanghang Zhang
3DPC
70
60
0
14 Mar 2023
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware
  Attention
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
Shijie Geng
Jianbo Yuan
Yu Tian
Yuxiao Chen
Yongfeng Zhang
CLIP
VLM
46
44
0
06 Mar 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong
  Few-shot Learners
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Renrui Zhang
Xiangfei Hu
Bohao Li
Siyuan Huang
Hanqiu Deng
Hongsheng Li
Yu Qiao
Peng Gao
VLM
MLLM
40
170
0
03 Mar 2023
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Renrui Zhang
Liuhui Wang
Ziyu Guo
Jianbo Shi
3DPC
32
10
0
01 Mar 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud
  Pre-training
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Ziyu Guo
Renrui Zhang
Longtian Qiu
Xianzhi Li
Pheng-Ann Heng
3DPC
30
52
0
27 Feb 2023
Learning 3D Representations from 2D Pre-trained Models via
  Image-to-Point Masked Autoencoders
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Renrui Zhang
Liuhui Wang
Yu Qiao
Peng Gao
Hongsheng Li
3DPC
41
125
0
13 Dec 2022
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
Xiangyang Zhu
Renrui Zhang
Bowei He
Ziyu Guo
Ziyao Zeng
Zipeng Qin
Shanghang Zhang
Peng Gao
VLM
30
136
0
21 Nov 2022
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual
  Grounding
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
Yanmin Wu
Xinhua Cheng
Renrui Zhang
Zesen Cheng
Jian Zhang
53
63
0
29 Sep 2022
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention
Ziyu Guo
Renrui Zhang
Longtian Qiu
Xianzheng Ma
Xupeng Miao
Xuming He
Bin Cui
VLM
AAML
59
109
0
28 Sep 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
178
244
0
28 May 2022
PointCLIP: Point Cloud Understanding by CLIP
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Bin Cui
Yu Qiao
Peng Gao
Hongsheng Li
VLM
3DPC
175
435
0
04 Dec 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang
Rongyao Fang
Wei Zhang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
192
385
0
06 Nov 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
348
2,271
0
02 Sep 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
151
283
0
04 May 2021
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
122
270
0
09 Sep 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
152
769
0
30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
171
1,940
0
24 Oct 2016
1