Multi-Graph Transformer for Free-Hand Sketch Recognition

Multi-Graph Transformer for Free-Hand Sketch Recognition

24 December 2019

Chaitanya K. Joshi

Papers citing "Multi-Graph Transformer for Free-Hand Sketch Recognition"

14 / 14 papers shown

Title
Equipping Sketch Patches with Context-Aware Positional Encoding for Graphic Sketch Representation Sicong Zang Zhijun Fang 34 0 0 26 Mar 2024
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition Guangming Zhu Siyuan Wang Qing Cheng Kelong Wu Hao Li Liang Zhang 18 2 0 30 Nov 2023
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation Sicong Zang Shikui Tu Lei Xu 22 7 0 30 Nov 2022
Multimodal Learning with Transformers: A Survey P. Xu Xiatian Zhu David A. Clifton ViT 41 518 0 13 Jun 2022
SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks Sheng Cheng Yi Ren Yezhou Yang 53 2 0 27 Apr 2022
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction Guang-Sheng Chen Meiling Wang Yufeng Yue Qingxiang Zhang Li-xin Yuan ViT 27 17 0 17 Dec 2021
SketchLattice: Latticed Representation for Sketch Manipulation Yonggang Qi Guoyao Su Pinaki Nath Chowdhury Mingkang Li Yi-Zhe Song 33 23 0 26 Aug 2021
InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping Runshi Liu Pengda Qin Yuhong Li Weigao Wen Dong Li Kefeng Deng Qiang Wu AI4TS 13 0 0 13 Jun 2021
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting A. Bhunia Pinaki Nath Chowdhury Yongxin Yang Timothy M. Hospedales Tao Xiang Yi-Zhe Song SSL 15 58 0 25 Mar 2021
On Learning Semantic Representations for Million-Scale Free-Hand Sketches Peng-Tao Xu Yongye Huang Tongtong Yuan Tao Xiang Timothy M. Hospedales Yi-Zhe Song Liang Wang SSL 11 4 0 07 Jul 2020
StrokeCoder: Path-Based Image Generation from Single Examples using Transformers Sabine Wieluch Friedhelm Schwenker ViT GAN 6 7 0 26 Mar 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification Dongliang Chang Yifeng Ding Jiyang Xie A. Bhunia Xiaoxu Li Zhanyu Ma Ming Wu Jun Guo Yi-Zhe Song 19 300 0 11 Feb 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,791 0 17 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016