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Learnable Fourier Features for Multi-Dimensional Spatial Positional
  Encoding
v1v2v3 (latest)

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

5 June 2021
Yang Li
Si Si
Gang Li
Cho-Jui Hsieh
Samy Bengio
ArXiv (abs)PDFHTML

Papers citing "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding"

50 / 50 papers shown
Title
LEO-VL: Towards 3D Vision-Language Generalists via Data Scaling with Efficient Representation
J. Huang
Xiaojian Ma
Xiongkun Linghu
Yue Fan
Junchao He
...
Qing Li
Song-Chun Zhu
Yixin Chen
Baoxiong Jia
Siyuan Huang
72
0
0
11 Jun 2025
Neural Functions for Learning Periodic Signal
Neural Functions for Learning Periodic Signal
Woojin Cho
Minju Jo
Kookjin Lee
Noseong Park
75
1
0
11 Jun 2025
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
Menglin Kong
Vincent Zhihao Zheng
Xudong Wang
Lijun Sun
AI4TS
29
0
0
01 Jun 2025
DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets
DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets
Bayu Adhi Tama
Mansa Krishna
Homayra Alam
Mostafa Cham
Omar Faruque
Gong Cheng
Jianwu Wang
Mathieu Morlighem
Vandana Janeja
35
0
0
29 May 2025
Learning to Adapt to Position Bias in Vision Transformer Classifiers
Learning to Adapt to Position Bias in Vision Transformer Classifiers
Robert-Jan Bruintjes
Jan van Gemert
162
0
0
19 May 2025
Geography-Aware Large Language Models for Next POI Recommendation
Geography-Aware Large Language Models for Next POI Recommendation
Zhao Liu
Wei Liu
Huajie Zhu
Jianxing Yu
Jian Yin
Wang-Chien Lee
Shun Wang
59
0
0
18 May 2025
POET: Prompt Offset Tuning for Continual Human Action Adaptation
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg
Joseph K J
V. Balasubramanian
Necati Cihan Camgöz
Chengde Wan
Kenrick Kin
Weiguang Si
Shugao Ma
Fernando de la Torre
131
0
0
25 Apr 2025
LOOPE: Learnable Optimal Patch Order in Positional Embeddings for Vision Transformers
LOOPE: Learnable Optimal Patch Order in Positional Embeddings for Vision Transformers
M. Chowdhury
Md Rifat Ur Rahman
Akil Ahmad Taki
59
0
0
19 Apr 2025
Few-shot Personalized Scanpath Prediction
Few-shot Personalized Scanpath Prediction
Ruoyu Xue
Jingyi Xu
Sounak Mondal
Hieu Le
G. Zelinsky
Minh Hoai
D. Samaras
83
0
0
07 Apr 2025
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching
Zizhuo Li
Yifan Lu
Linfeng Tang
Shanghang Zhang
Jiayi Ma
114
1
0
31 Mar 2025
Understanding the Limits of Deep Tabular Methods with Temporal Shift
Understanding the Limits of Deep Tabular Methods with Temporal Shift
Hao-Run Cai
Han-Jia Ye
AI4TS
116
4
0
27 Feb 2025
Generative Feature Training of Thin 2-Layer Networks
Generative Feature Training of Thin 2-Layer Networks
J. Hertrich
Sebastian Neumayer
GAN
156
2
0
11 Nov 2024
AutoGameUI: Constructing High-Fidelity Game UIs via Multimodal Learning
  and Interactive Web-Based Tool
AutoGameUI: Constructing High-Fidelity Game UIs via Multimodal Learning and Interactive Web-Based Tool
Zhongliang Tang
Mengchen Tan
Fei Xia
Qingrong Cheng
Hao Jiang
Yize Zhang
53
0
0
06 Nov 2024
Federated Transformer: Multi-Party Vertical Federated Learning on
  Practical Fuzzily Linked Data
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
Zhaomin Wu
Junyi Hou
Yiqun Diao
Bingsheng He
FedML
69
3
0
23 Oct 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with
  Tabular Node Features
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov
Oleg Platonov
Liudmila Prokhorenkova
LMTD
63
1
0
22 Sep 2024
DAP: Diffusion-based Affordance Prediction for Multi-modality Storage
DAP: Diffusion-based Affordance Prediction for Multi-modality Storage
Haonan Chang
Kowndinya Boyalakuntla
Yuhan Liu
Xinyu Zhang
Liam Schramm
Abdeslam Boularias
96
0
0
31 Aug 2024
Deep Learning without Global Optimization by Random Fourier Neural Networks
Deep Learning without Global Optimization by Random Fourier Neural Networks
Owen Davis
Gianluca Geraci
Mohammad Motamed
BDL
133
0
0
16 Jul 2024
An Effective-Efficient Approach for Dense Multi-Label Action Detection
An Effective-Efficient Approach for Dense Multi-Label Action Detection
Faegheh Sardari
Armin Mustafa
Philip J. B. Jackson
Adrian Hilton
152
0
0
10 Jun 2024
Vectorized Conditional Neural Fields: A Framework for Solving
  Time-dependent Parametric Partial Differential Equations
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
Jan Hagnberger
Marimuthu Kalimuthu
Daniel Musekamp
Mathias Niepert
AI4TSAI4CE
98
5
0
06 Jun 2024
LookHere: Vision Transformers with Directed Attention Generalize and
  Extrapolate
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
A. Fuller
Daniel G. Kyrollos
Yousef Yassin
James R. Green
109
3
0
22 May 2024
Unifying 3D Vision-Language Understanding via Promptable Queries
Unifying 3D Vision-Language Understanding via Promptable Queries
Ziyu Zhu
Zhuofan Zhang
Xiaojian Ma
Xuesong Niu
Yixin Chen
Baoxiong Jia
Zhidong Deng
Siyuan Huang
Qing Li
110
32
0
19 May 2024
Multi-agent transformer-accelerated RL for satisfaction of STL
  specifications
Multi-agent transformer-accelerated RL for satisfaction of STL specifications
Albin Larsson Forsberg
Alexandros Nikou
Aneta Vulgarakis Feljan
Jana Tumova
61
1
0
23 Mar 2024
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
Yan Lin
Jilin Hu
Shengnan Guo
Bin Yang
Christian S. Jensen
Youfang Lin
Huaiyu Wan
110
0
0
11 Feb 2024
A self-supervised framework for learning whole slide representations
A self-supervised framework for learning whole slide representations
X. Hou
Cheng Jiang
A. Kondepudi
Yiwei Lyu
Asadur Chowdury
Honglak Lee
Todd C. Hollon
MedIm
85
6
0
09 Feb 2024
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event
  Prediction
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction
Tingsong Xiao
Zelin Xu
Wenchong He
Jim Su
Yupu Zhang
...
Jason Petho
Jiang Bian
P. Tighe
Parisa Rashidi
Zhe Jiang
AI4TS
67
4
0
03 Feb 2024
SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of
  Lumbar Spine MRI
SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of Lumbar Spine MRI
Jiasong Chen
Linchen Qian
Linhai Ma
Timur Urakov
Weiyong Gu
Liang Liang
MedIm
70
7
0
17 Jan 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted
  Augmentations
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
Helen Qu
Sang Michael Xie
89
5
0
08 Jan 2024
A Hierarchical Spatial Transformer for Massive Point Samples in
  Continuous Space
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
Wenchong He
Zhe Jiang
Tingsong Xiao
Zelin Xu
Shigang Chen
Ronald Fick
Miles Medina
Christine Angelini
92
17
0
08 Nov 2023
Radar Instance Transformer: Reliable Moving Instance Segmentation in
  Sparse Radar Point Clouds
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds
Matthias Zeller
Vardeep S. Sandhu
Benedikt Mersch
D. Hristopulos
Michael Heidingsfeld
Cyrill Stachniss
100
10
0
28 Sep 2023
PAT: Position-Aware Transformer for Dense Multi-Label Action Detection
PAT: Position-Aware Transformer for Dense Multi-Label Action Detection
Faegheh Sardari
A. Mustafa
Philip J. B. Jackson
A. Hilton
ViT
96
6
0
09 Aug 2023
STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning
  for Urban Traffic Forecasting
STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting
Lincan Li
Kaixiang Yang
Feng Luo
Jichao Bi
AI4TS
62
3
0
05 Jul 2023
LightGlue: Local Feature Matching at Light Speed
LightGlue: Local Feature Matching at Light Speed
Philipp Lindenberger
Paul-Edouard Sarlin
Marc Pollefeys
3DVVLM
132
451
0
23 Jun 2023
Deep Multiple Instance Learning with Distance-Aware Self-Attention
Deep Multiple Instance Learning with Distance-Aware Self-Attention
Georg Wolflein
Lucie Charlotte Magister
Pietro Lio
David J. Harrison
Ognjen Arandjelovic
63
3
0
17 May 2023
Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
Zhibo Yang
Sounak Mondal
Seoyoung Ahn
Ruoyu Xue
G. Zelinsky
Minh Hoai
Dimitris Samaras
54
12
0
16 Mar 2023
Localizing Moments in Long Video Via Multimodal Guidance
Localizing Moments in Long Video Via Multimodal Guidance
Wayner Barrios
Mattia Soldan
Alberto M. Ceballos-Arroyo
Fabian Caba Heilbron
Guohao Li
89
21
0
26 Feb 2023
Semantics-enhanced Temporal Graph Networks for Content Popularity
  Prediction
Semantics-enhanced Temporal Graph Networks for Content Popularity Prediction
Jianhang Zhu
Rongpeng Li
Xianfu Chen
S. Mao
Jianjun Wu
Zhifeng Zhao
55
7
0
29 Jan 2023
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data
Matthias Zeller
Jens Behley
Michael Heidingsfeld
C. Stachniss
95
24
0
07 Dec 2022
PIP: Positional-encoding Image Prior
PIP: Positional-encoding Image Prior
Nimrod Shabtay
Eli Schwartz
Raja Giryes
67
6
0
25 Nov 2022
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global
  Interactions
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
Anson Bastos
Abhishek Nadgeri
Kuldeep Singh
Toyotaro Suzumura
Manish Singh
80
8
0
22 Nov 2022
A unified model for continuous conditional video prediction
A unified model for continuous conditional video prediction
Xi Ye
Guillaume-Alexandre Bilodeau
AI4TS
77
8
0
11 Oct 2022
City-scale Incremental Neural Mapping with Three-layer Sampling and
  Panoptic Representation
City-scale Incremental Neural Mapping with Three-layer Sampling and Panoptic Representation
Yongliang Shi
Runyi Yang
Pengfei Li
Zirui Wu
Hao Zhao
Guyue Zhou
3DPC
94
8
0
28 Sep 2022
Pre-training General Trajectory Embeddings with Maximum Multi-view
  Entropy Coding
Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding
Yan Lin
Huaiyu Wan
Shengnan Guo
Jilin Hu
Christian S. Jensen
Youfang Lin
AI4TS
88
22
0
29 Jul 2022
Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution
  Mass Spectrometry Data
Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data
G. Voronov
Rose Lightheart
Joe Davison
Christoph A. Krettler
David Healey
Thomas Butler
92
9
0
06 Jul 2022
Your Transformer May Not be as Powerful as You Expect
Your Transformer May Not be as Powerful as You Expect
Shengjie Luo
Shanda Li
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
Di He
139
54
0
26 May 2022
Generalized Classification of Satellite Image Time Series with Thermal
  Positional Encoding
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding
Joachim Nyborg
Charlotte Pelletier
Ira Assent
75
19
0
17 Mar 2022
On Embeddings for Numerical Features in Tabular Deep Learning
On Embeddings for Numerical Features in Tabular Deep Learning
Yura Gorishniy
Ivan Rubachev
Artem Babenko
LMTD
115
181
0
10 Mar 2022
Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at
  Scale
Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at Scale
Gang Li
Gilles Baechler
Manuel Tragut
Yang Li
82
49
0
11 Jan 2022
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface
  Modeling
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling
Yang Li
Gang Li
Xin Zhou
Mostafa Dehghani
A. Gritsenko
MLLM
92
36
0
10 Dec 2021
SoK: Vehicle Orientation Representations for Deep Rotation Estimation
SoK: Vehicle Orientation Representations for Deep Rotation Estimation
Huahong Tu
Siyuan Peng
Vladimir Leung
Richard Gao
3DPC
77
1
0
08 Dec 2021
Can Vision Transformers Perform Convolution?
Can Vision Transformers Perform Convolution?
Shanda Li
Xiangning Chen
Di He
Cho-Jui Hsieh
ViT
110
21
0
02 Nov 2021
1