Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 544 papers shown

Title
Learning (Approximately) Equivariant Networks via Constrained Optimization Andrei Manolache Luiz F.O. Chamon Mathias Niepert 12 0 0 19 May 2025
Attention on the Sphere Boris Bonev Max Rietmann Andrea Paris Alberto Carpentieri Thorsten Kurth 34 0 0 16 May 2025
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 58 0 0 07 May 2025
AtlasD: Automatic Local Symmetry Discovery Manu Bhat Jonghyun Park Jianke Yang Nima Dehmamy Robin Walters Rose Yu 26 0 0 15 Apr 2025
You Need a Transition Plane: Bridging Continuous Panoramic 3D Reconstruction with Perspective Gaussian Splatting Zhijie Shen Chunyu Lin Shujuan Huang Lang Nie K. Liao Yao Zhao 3DGS 37 0 0 12 Apr 2025
Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation Yu Qi Yuanchen Ju Tianming Wei Chi Chu Lawson L. S. Wong Huazhe Xu 37 1 0 09 Apr 2025
Equivariant Spherical CNNs for Accurate Fiber Orientation Distribution Estimation in Neonatal Diffusion MRI with Reduced Acquisition Time Haykel Snoussi Davood Karimi DiffM MedIm 46 0 0 02 Apr 2025
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model Jannik Endres Oliver Hahn Charles Corbière Simone Schaub-Meyer Stefan Roth Alexandre Alahi MDE 41 0 0 30 Mar 2025
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing Aditi Tiwari Klara Nahrstedt 44 1 0 17 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 58 1 0 14 Mar 2025
SO(3)-Equivariant Neural Networks for Learning Vector Fields on Spheres Francesco Ballerin Nello Blaser E. Grong 67 0 0 13 Mar 2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines Olaya Álvarez-Tunón Yury Brodskiy Erdal Kayacan 75 6 0 04 Mar 2025
Generalization Bounds for Equivariant Networks on Markov Data Hui Li Zhiguo Wang Bohui Chen Li Sheng 29 0 0 01 Mar 2025
EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching Dongki Jung Jaehoon Choi Yonghan Lee Somi Jeong T. Lee Dinesh Manocha Suyong Yeon 73 1 0 28 Feb 2025
Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Rongzhao He Weihao Zheng Leilei Zhao Ying Wang Dalin Zhu Dan Wu Bin Hu Mamba 95 0 0 21 Feb 2025
Equivariant Masked Position Prediction for Efficient Molecular Representation Junyi An Chao Qu Yun-Fei Shi XinHao Liu Qianwei Tang Fenglei Cao Yuan Qi 45 0 0 12 Feb 2025
SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Q. Yan Qiang Wang Kaiyong Zhao Jie Chen Bo Li Xiaowen Chu F. Deng 3DGS MDE 54 0 0 09 Feb 2025
Level-Set Parameters: Novel Representation for 3D Shape Analysis Huan Lei Hongdong Li Andreas Geiger Anthony Dick 79 0 0 18 Dec 2024
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 97 2 0 16 Dec 2024
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 37 0 0 11 Nov 2024
Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance Tomáš Karella Adam Harmanec J. Kotera Jan Blažek F. Šroubek 52 1 0 06 Nov 2024
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features Zhuoshuo Li Jiong Zhang Youbing Zeng Jiaying Lin Dan Zhang Jianjia Zhang Duan Xu H. Kim Bingguang Liu Mengting Liu 34 0 0 05 Nov 2024
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction Jongmin Lee Minsu Cho 46 1 0 01 Nov 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 45 0 0 13 Oct 2024
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration Xueyang Kang Zhaoliang Luan Kourosh Khoshelham Bing Wang 3DPC 36 0 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 45 1 0 07 Oct 2024
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry Akiyoshi Sannai Yuuki Takai Matthieu Cordonnier 258 0 0 25 Sep 2024
Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal Gabriele Cesa 40 0 0 13 Sep 2024
UMERegRobust -- Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration Yuval Haitman Amit Efraim J. Francos 3DPC 37 1 0 22 Aug 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 48 4 0 12 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong-Son Hy 48 0 0 11 Aug 2024
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos Heeseung Yun Ruohan Gao Ishwarya Ananthabhotla Anurag Kumar Jacob Donley Chao Li Gunhee Kim V. Ithapu Calvin Murdock 58 2 0 09 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs Soutrik Roy Chowdhury 38 0 0 08 Aug 2024
The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups Miguel A. Saavedra-Ruiz Steven A. Parkison Ria Arora James Richard Forbes Liam Paull 28 0 0 01 Aug 2024
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning Ray Zhang Zheming Zhou Min Sun Omid Ghasemalizadeh Cheng-Hao Kuo Ryan Eustice Maani Ghaffari Arnie Sen 3DPC 45 1 0 29 Jul 2024
Deep Spherical Superpixels Rémi Giraud Michael Clement MDE 59 0 0 24 Jul 2024
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving Anam Manzoor Aryan Singh Ganesh Sistu Reenu Mohandas E. Grua Anthony G. Scanlan Ciarán Eising 45 2 0 23 Jul 2024
360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolation Wenxuan Lu Mengshun Hu Yansheng Qiu Liang Liao Zheng Wang 56 0 0 19 Jul 2024
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds Yanbo Wang Wentao Zhao Chuan Cao Tianchen Deng Jingchuan Wang Weidong Chen 3DPC 44 5 0 16 Jul 2024
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning Augustine N. Mavor-Parker Matthew J. Sargent Caswell Barry Lewis D. Griffin Clare Lyle 49 2 0 09 Jul 2024
FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields Shihao Shao Haoran Geng Zun Wang Qinghua Cui 3DV 56 0 0 02 Jul 2024
Learning Modality Knowledge Alignment for Cross-Modality Transfer Wenxuan Ma Shuang Li Lincan Cai Jingxuan Kang 42 1 0 27 Jun 2024
Molecule Graph Networks with Many-body Equivariant Interactions Zetian Mao Jiawen Li Chen Liang Diptesh Das Masato Sumita Koji Tsuda Kelin Xia Koji Tsuda 45 1 0 19 Jun 2024
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation Lincan Cai Shuang Li Wenxuan Ma Jingxuan Kang Binhui Xie Zixun Sun Chengwei Zhu MoE MoMe 42 0 0 13 Jun 2024
FSH3D: 3D Representation via Fibonacci Spherical Harmonics Zikuan Li Anyi Huang Wenru Jia Qiaoyun Wu Mingqiang Wei Jun Wang 37 0 0 12 Jun 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 64 0 0 10 Jun 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain Jun Liu Jiantao Zhou Jiandian Zeng Jinyu Tian Zheng Li 46 0 0 05 Jun 2024
Learning equivariant tensor functions with applications to sparse vector recovery Wilson Gregory Josué Tonelli-Cueto Nicholas F. Marshall Andrew S. Lee Soledad Villar 44 1 0 03 Jun 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 33 1 0 29 May 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 42 1 0 24 May 2024