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Image Transformer

15 February 2018

Papers citing "Image Transformer"

50 / 837 papers shown

Title
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 383 5,146 0 08 Oct 2020
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 202 1,605 0 30 Sep 2020
Attention that does not Explain Away Nan Ding Xinjie Fan Zhenzhong Lan Dale Schuurmans Radu Soricut 54 3 0 29 Sep 2020
Knowledge Fusion Transformers for Video Action Recognition Ganesh Samarth Sheetal Ojha Nikhil Pareek ViT 59 1 0 29 Sep 2020
DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement S. Iizuka E. Simo-Serra 153 39 0 18 Sep 2020
Efficient Transformers: A Survey Yi Tay Mostafa Dehghani Dara Bahri Donald Metzler VLM 250 1,137 0 14 Sep 2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition Liangzhi Li Bowen Wang Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara OCL 90 51 0 14 Sep 2020
SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization Xuefeng Hu Zhihan Zhang Zhenye Jiang Syomantak Chaudhuri Zhenheng Yang Ram Nevatia 3DPC 68 199 0 01 Sep 2020
Langevin Cooling for Domain Translation Vignesh Srinivasan Klaus-Robert Muller Wojciech Samek Shinichi Nakajima 74 1 0 31 Aug 2020
HittER: Hierarchical Transformers for Knowledge Graph Embeddings Sanxing Chen Xiaodong Liu Jianfeng Gao Jian Jiao Ruofei Zhang Yangfeng Ji 93 113 0 28 Aug 2020
Skeleton-based Action Recognition via Spatial and Temporal Transformer Networks Chiara Plizzari Marco Cannici Matteo Matteucci ViT MedIm 84 312 0 17 Aug 2020
The Chess Transformer: Mastering Play using Generative Language Models David Noever Matt Ciolino Josh Kalin 116 38 0 02 Aug 2020
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images Sachin Mehta Ximing Lu D. Weaver J. Elmore Hannaneh Hajishirzi Linda G. Shapiro 43 5 0 25 Jul 2020
Conformer-Kernel with Query Term Independence for Document Retrieval Bhaskar Mitra Sebastian Hofstatter Hamed Zamani Nick Craswell 61 21 0 20 Jul 2020
Kernelized Memory Network for Video Object Segmentation Hongje Seong Junhyuk Hyun Euntai Kim VOS 75 197 0 16 Jul 2020
Autoregressive Unsupervised Image Segmentation Yassine Ouali C´eline Hudelot Myriam Tami SSL 99 87 0 16 Jul 2020
Attention as Activation Yimian Dai Stefan Oehmcke Fabian Gieseke Yiquan Wu Kobus Barnard 52 9 0 15 Jul 2020
Can neural networks acquire a structural bias from raw linguistic data? Alex Warstadt Samuel R. Bowman AI4CE 62 54 0 14 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 152 919 0 08 Jul 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes Andrew Y. K. Foong W. Bruinsma Jonathan Gordon Yann Dubois James Requeima Richard Turner BDL 93 78 0 02 Jul 2020
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs Kian Ahrabian Daniel Tarlow Hehuimin Cheng Jin L. C. Guo 60 3 0 02 Jul 2020
Sliced Iterative Normalizing Flows B. Dai U. Seljak 89 37 0 01 Jul 2020
Data Movement Is All You Need: A Case Study on Optimizing Transformers A. Ivanov Nikoli Dryden Tal Ben-Nun Shigang Li Torsten Hoefler 147 135 0 30 Jun 2020
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data F. Tonolini Pablo G. Moreno Andreas C. Damianou Roderick Murray-Smith 40 1 0 30 Jun 2020
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures Julien Launay Iacopo Poli Franccois Boniface Florent Krzakala 127 64 0 23 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 120 32 0 22 Jun 2020
Sparse GPU Kernels for Deep Learning Trevor Gale Matei A. Zaharia C. Young Erich Elsen 99 234 0 18 Jun 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 156 297 0 17 Jun 2020
Density of States Estimation for Out-of-Distribution Detection Warren Morningstar Cusuh Ham Andrew Gallagher Balaji Lakshminarayanan Alexander A. Alemi Joshua V. Dillon OODD 114 85 0 16 Jun 2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity Sang-gil Lee Sungwon Kim Sungroh Yoon 77 17 0 11 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 103 276 0 09 Jun 2020
Visual Transformers: Token-based Image Representation and Processing for Computer Vision Bichen Wu Chenfeng Xu Xiaoliang Dai Alvin Wan Peizhao Zhang Zhicheng Yan Masayoshi Tomizuka Joseph E. Gonzalez Kurt Keutzer Peter Vajda ViT 111 565 0 05 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 160 100 0 05 Jun 2020
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Peter Hawkins Jared Davis David Belanger Lucy J. Colwell Adrian Weller 100 86 0 05 Jun 2020
GMAT: Global Memory Augmentation for Transformers Ankit Gupta Jonathan Berant RALM 81 50 0 05 Jun 2020
milliEgo: Single-chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion Chris Xiaoxuan Lu Muhamad Risqi U. Saputra Peijun Zhao Yasin Almalioglu Pedro Porto Buarque de Gusmão Changhao Chen Ke Sun A. Trigoni Andrew Markham 64 5 0 03 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 530 13,239 0 26 May 2020
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis Rafael Valle Kevin J. Shih R. Prenger Bryan Catanzaro 96 121 0 12 May 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network Jinkyu Kim Mayank Bansal 96 13 0 08 May 2020
Multi-scale Transformer Language Models Sandeep Subramanian R. Collobert MarcÁurelio Ranzato Y-Lan Boureau 63 13 0 01 May 2020
Progressive Transformers for End-to-End Sign Language Production Ben Saunders Necati Cihan Camgöz Richard Bowden SLR 79 135 0 30 Apr 2020
Exploring Self-attention for Image Recognition Hengshuang Zhao Jiaya Jia V. Koltun SSL 100 792 0 28 Apr 2020
A Spatio-temporal Transformer for 3D Human Motion Prediction Emre Aksan Manuel Kaufmann Peng Cao Otmar Hilliges ViT 97 231 0 18 Apr 2020
Understanding the Difficulty of Training Transformers Liyuan Liu Xiaodong Liu Jianfeng Gao Weizhu Chen Jiawei Han AI4CE 96 259 0 17 Apr 2020
Highway Transformer: Self-Gating Enhanced Self-Attentive Networks Yekun Chai Jin Shuo Xinwen Hou 48 17 0 17 Apr 2020
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring Maitreya Suin Kuldeep Purohit A. N. Rajagopalan 3DV 78 283 0 11 Apr 2020
Telling BERT's full story: from Local Attention to Global Aggregation Damian Pascual Gino Brunner Roger Wattenhofer 57 19 0 10 Apr 2020
Normalizing Flows with Multi-Scale Autoregressive Priors Shweta Mahajan Apratim Bhattacharyya Mario Fritz Bernt Schiele Stefan Roth BDL DRL 53 17 0 08 Apr 2020
Variational Transformers for Diverse Response Generation Zhaojiang Lin Genta Indra Winata Peng Xu Zihan Liu Pascale Fung DRL 78 51 0 28 Mar 2020
Actor-Transformers for Group Activity Recognition Kirill Gavrilyuk Ryan Sanford Mehrsan Javan Cees G. M. Snoek ViT 73 182 0 28 Mar 2020