Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction

12 January 2023

Dang Nguyen

Papers citing "Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction"

47 / 47 papers shown

Title
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances Sloan Nietert Ritwik Sadhu Ziv Goldfeld Kengo Kato 68 39 0 17 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Zhaolin Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 50 22 0 27 Sep 2022
Sliced Wasserstein Variational Inference Mingxuan Yi Song Liu 61 20 0 26 Jul 2022
Template based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 78 20 0 31 May 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen Nhat Ho 52 25 0 04 Apr 2022
Point-set Distances for Learning Representations of 3D Point Clouds Trung Nguyen Quang Pham Tam Le Tung Pham Nhat Ho Binh-Son Hua 3DPC 65 72 0 08 Feb 2021
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 103 749 0 17 Dec 2020
PCT: Point cloud transformer Meng-Hao Guo Junxiong Cai Zheng-Ning Liu Tai-Jiang Mu Ralph Robert Martin Shimin Hu ViT 3DPC 143 1,616 0 17 Dec 2020
Point Transformer Nico Engel Vasileios Belagiannis Klaus C. J. Dietmayer 3DPC 176 1,994 0 02 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 654 41,103 0 22 Oct 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 218 5,080 0 08 Oct 2020
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Khai Nguyen S. Nguyen Nhat Ho Tung Pham Hung Bui 84 21 0 05 Oct 2020
Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation Rui Li Jianlin Su Chenxi Duan Shunyi Zheng 3DV 40 38 0 29 Jul 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 201 1,771 0 29 Jun 2020
Linformer: Self-Attention with Linear Complexity Sinong Wang Belinda Z. Li Madian Khabsa Han Fang Hao Ma 213 1,706 0 08 Jun 2020
Learning Texture Transformer Network for Image Super-Resolution Fuzhi Yang Huan Yang Jianlong Fu Hongtao Lu B. Guo SupR ViT 74 724 0 07 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 789 42,055 0 28 May 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 402 13,048 0 26 May 2020
Streaming Transformer-based Acoustic Models Using Self-attention with Augmented Memory Chunyang Wu Yongqiang Wang Yangyang Shi Ching-Feng Yeh Frank Zhang RALM 62 63 0 16 May 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 125 204 0 07 Feb 2020
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching Quang Pham Mikaela Angelina Uy Binh-Son Hua D. Nguyen Gemma Roig Sai-Kit Yeung 3DPC 3DV 69 73 0 21 Nov 2019
Approximate Bayesian Computation with the Sliced-Wasserstein Distance Kimia Nadjahi Valentin De Bortoli Alain Durmus Roland Badeau Umut Simsekli 53 26 0 28 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 427 20,181 0 23 Oct 2019
Transformer-based Acoustic Modeling for Hybrid Speech Recognition Yongqiang Wang Abdel-rahman Mohamed Duc Le Chunxi Liu Alex Xiao ... Xiaohui Zhang Frank Zhang Christian Fuegen Geoffrey Zweig M. Seltzer 52 249 0 22 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 659 24,464 0 26 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 99 668 0 28 Jun 2019
Max-Sliced Wasserstein Distance and its use for GANs Ishani Deshpande Yuan-Ting Hu Ruoyu Sun A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Zhizhen Zhao David A. Forsyth Alex Schwing GAN 43 201 0 11 Apr 2019
Cross-Modal Self-Attention Network for Referring Image Segmentation Linwei Ye Mrigank Rochan Zhi Liu Yang Wang EgoV 52 477 0 09 Apr 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling Jiancheng Yang Qiang Zhang Bingbing Ni Linguo Li Jinxian Liu Mengdie Zhou Qi Tian 3DPC 82 381 0 06 Apr 2019
VideoBERT: A Joint Model for Video and Language Representation Learning Chen Sun Austin Myers Carl Vondrick Kevin Patrick Murphy Cordelia Schmid VLM SSL 79 1,246 0 03 Apr 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee Tanmay Batra M. H. Baig Daniel Ulbricht 135 542 0 10 Mar 2019
Efficient Attention: Attention with Linear Complexities Zhuoran Shen Mingyuan Zhang Haiyu Zhao Shuai Yi Hongsheng Li 92 531 0 04 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 119 274 0 01 Oct 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 104 384 0 03 Apr 2018
Generative Modeling using the Sliced Wasserstein Distance Ishani Deshpande Ziyu Zhang Alex Schwing GAN 55 226 0 29 Mar 2018
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation B. Damodaran B. Kellenberger Rémi Flamary D. Tuia Nicolas Courty OT OOD 80 466 0 27 Mar 2018
Wasserstein Auto-Encoders Ilya O. Tolstikhin Olivier Bousquet Sylvain Gelly B. Schölkopf DRL 119 1,057 0 05 Nov 2017
Multilevel Clustering via Wasserstein Means Nhat Ho X. Nguyen Mikhail Yurochkin Hung Bui Viet Huynh Dinh Q. Phung 55 148 0 13 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 173 630 0 01 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,320 0 02 Dec 2016
Directional Statistics in Machine Learning: a Brief Review S. Sra HAI 54 43 0 01 May 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 162 5,530 0 09 Dec 2015
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 145 1,121 0 02 Jul 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 215 4,262 0 04 Jun 2013