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2304.07221
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Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
14 April 2023
Yaohua Zha
Jinpeng Wang
Tao Dai
Bin Chen
Zhi Wang
Shutao Xia
VLM
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Papers citing
"Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models"
44 / 44 papers shown
Title
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
Song Wang
Xiaolu Liu
Lingdong Kong
Jianyun Xu
Chunyong Hu
Gongfan Fang
Wentong Li
Jianke Zhu
Xinchao Wang
27
0
0
22 Apr 2025
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
Xu Han
Yuan Tang
Jinfeng Xu
Xianzhi Li
51
0
0
24 Mar 2025
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters
Julia Hindel
Rohit Mohan
Jelena Bratulić
Daniele Cattaneo
Thomas Brox
Abhinav Valada
3DPC
79
0
0
05 Mar 2025
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Younggun Kim
Beomsik Cho
Seonghoon Ryoo
Soomok Lee
3DPC
99
0
0
27 Jan 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
46
7
0
23 Jan 2025
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Y. Wang
Wang Chen
Kang Yang
Deying Li
Jianfei Cai
3DPC
83
3
0
17 Jan 2025
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
Taolin Zhang
J. T. Wang
Hang Guo
Tao Dai
B. Chen
Shu-Tao Xia
VLM
TTA
19
0
0
20 Oct 2024
Scene Graph Generation with Role-Playing Large Language Models
Guikun Chen
Jin Li
Wenguan Wang
VLM
48
5
0
20 Oct 2024
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders
Yaohua Zha
Tao Dai
Yanzi Wang
Hang Guo
Taolin Zhang
Zhihao Ouyang
Chunlin Fan
B. Chen
Ke Chen
Shu-Tao Xia
3DPC
28
1
0
13 Oct 2024
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Dingkang Liang
Tianrui Feng
Xin Zhou
Yumeng Zhang
Zhikang Zou
Xiang Bai
26
5
0
10 Oct 2024
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
Yunze Liu
Li Yi
Mamba
45
2
0
01 Oct 2024
Positional Prompt Tuning for Efficient 3D Representation Learning
Shaochen Zhang
Zekun Qi
Runpei Dong
Xiuxiu Bai
Xing Wei
37
2
0
21 Aug 2024
Large Point-to-Gaussian Model for Image-to-3D Generation
Longfei Lu
Huachen Gao
Tao Dai
Yaohua Zha
Zhi Hou
Junta Wu
Shu-Tao Xia
3DGS
DiffM
29
4
0
20 Aug 2024
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Jifeng Wang
Kaouther Messaoud
Yuejiang Liu
Juergen Gall
Alexandre Alahi
34
0
0
28 Jul 2024
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
Yunkang Cao
Jiangning Zhang
Luca Frittoli
Yuqi Cheng
Weiming Shen
Giacomo Boracchi
VLM
48
29
0
22 Jul 2024
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers
Mengke Li
Da Li
Guoqing Yang
Yiu-ming Cheung
Hui Huang
3DPC
48
0
0
18 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks
Hao Fang
Jiawei Kong
Bin Chen
Tao Dai
Hao Wu
Shu-Tao Xia
AAML
63
4
0
14 Jul 2024
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction
Yaohua Zha
Yanzi Wang
Tao Dai
Shu-Tao Xia
40
0
0
12 Jul 2024
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
Taolin Zhang
Jiawang Bai
Zhihe Lu
Dongze Lian
Genping Wang
Xinchao Wang
Shu-Tao Xia
28
4
0
09 Jul 2024
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision
Minglei Li
Peng Ye
Yongqi Huang
Lin Zhang
Tao Chen
Tong He
Jiayuan Fan
Wanli Ouyang
MoE
32
4
0
05 Jun 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
Yaohua Zha
Naiqi Li
Yanzi Wang
Tao Dai
Hang Guo
Bin Chen
Zhi Wang
Zhihao Ouyang
Shu-Tao Xia
Mamba
42
8
0
27 May 2024
Prompt Customization for Continual Learning
Yong Dai
Xiaopeng Hong
Yabin Wang
Zhiheng Ma
D. Jiang
Yaowei Wang
40
0
0
28 Apr 2024
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
Xu Han
Yuan Tang
Zhaoxuan Wang
Xianzhi Li
37
23
0
23 Apr 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du
Xinyao Li
Fengling Li
Ke Lu
Lei Zhu
Jingjing Li
40
15
0
05 Mar 2024
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
Xin Zhou
Dingkang Liang
Wei Xu
Xingkui Zhu
Yihan Xu
Zhikang Zou
Xiang Bai
24
26
0
03 Mar 2024
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
Hang Guo
Jinmin Li
Tao Dai
Zhihao Ouyang
Xudong Ren
Shu-Tao Xia
Mamba
55
200
0
23 Feb 2024
PointMamba: A Simple State Space Model for Point Cloud Analysis
Dingkang Liang
Xin Zhou
Wei Xu
Xingkui Zhu
Zhikang Zou
Xiaoqing Ye
Xinyu Wang
Xiang Bai
89
90
0
16 Feb 2024
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Yi Xin
Jianjiang Yang
Haodi Zhou
Junlong Du
Junlong Du
Yue Fan
Qing Li
Qing Li
Yuntao Du
VLM
70
75
0
03 Feb 2024
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
Yaohua Zha
Huizhen Ji
Jinmin Li
Rongsheng Li
Tao Dai
Bin Chen
Zhi Wang
Shu-Tao Xia
3DPC
27
23
0
17 Dec 2023
FreestyleRet: Retrieving Images from Style-Diversified Queries
Hao Li
Curise Jia
Peng Jin
Ze-Long Cheng
Kehan Li
Jialu Sui
Chang Liu
Li-ming Yuan
3DH
20
5
0
05 Dec 2023
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
Jiawang Bai
Kuofeng Gao
Shaobo Min
Shu-Tao Xia
Zhifeng Li
Wei Liu
VLM
23
36
0
26 Nov 2023
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
24
19
0
04 Oct 2023
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Rongsheng Li
Y. Li
Yinghui Li
Chaiyut Luoyiching
Hai-Tao Zheng
Nannan Zhou
Hanjing Su
RALM
13
2
0
10 Sep 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
38
18
0
31 May 2023
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
Zhang Tao
Su He
D. Tao
Bin Chen
Zhi Wang
Shutao Xia
VLM
27
21
0
18 May 2023
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
Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Bin Cui
Yu Qiao
Peng Gao
Hongsheng Li
VLM
3DPC
169
435
0
04 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
238
805
0
14 Oct 2021
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
327
2,263
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,844
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,918
0
31 Dec 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
141
622
0
21 Jul 2020
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
14,099
0
02 Dec 2016
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