no code implementations • 18 Oct 2023 • Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen
Most prior encoders rely on atom-wise features, such as angles and distances between atoms, which are not available in this context.
no code implementations • 25 May 2023 • Zheng Sun, Yi Wei, Wenxiao Jia, Long Yu
With the development of transformer-based methods, the performance of multivariate long-term time series forecasting has been significantly improved, however, the study of spatial features extracting in transformer-based model is rare and the consistency of different prediction periods is unsatisfactory due to the large span.
no code implementations • 20 Apr 2023 • Feng Guo, Zheng Sun, Yuxuan Chen, Lei Ju
In this work, we propose a novel method to infer the adversary intent and discover audio adversarial examples based on the AEs generation process.
no code implementations • 18 Apr 2023 • Feng Guo, Zheng Sun, Yuxuan Chen, Lei Ju
In this work, we explore the potential factors that impact adversarial examples (AEs) transferability in DL-based speech recognition.
no code implementations • 21 Mar 2023 • Jiawei Wang, WeiHong Lin, Chixiang Ma, Mingze Li, Zheng Sun, Lei Sun, Qiang Huo
Unlike previous methods, we formulate table separation line prediction as a line regression problem instead of an image segmentation problem and propose a new two-stage dynamic queries enhanced DETR based separation line regression approach, named DQ-DETR, to predict separation lines from table images directly.
no code implementations • 9 Aug 2022 • WeiHong Lin, Zheng Sun, Chixiang Ma, Mingze Li, Jiawei Wang, Lei Sun, Qiang Huo
We present a new table structure recognition (TSR) approach, called TSRFormer, to robustly recognizing the structures of complex tables with geometrical distortions from various table images.
Ranked #2 on Table Recognition on PubTabNet (TEDS-Struct metric)
no code implementations • 20 Oct 2020 • Xide Xia, Tianfan Xue, Wei-Sheng Lai, Zheng Sun, Abby Chang, Brian Kulis, Jiawen Chen
We present a novel algorithm for transferring artistic styles of semantically meaningful local regions of an image onto local regions of a target video while preserving its photorealism.
3 code implementations • ECCV 2020 • Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis, Jiawen Chen
Photorealistic style transfer is the task of transferring the artistic style of an image onto a content target, producing a result that is plausibly taken with a camera.
no code implementations • 22 Nov 2016 • Zewang Zhang, Zheng Sun, Jiaqi Liu, Jingwen Chen, Zhao Huo, Xiao Zhang
We further show that applying deep residual learning can boost the convergence speed of our novel deep recurret convolutional networks.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 16 Nov 2016 • Zheng Sun, Jiaqi Liu, Zewang Zhang, Jingwen Chen, Zhao Huo, Ching Hua Lee, Xiao Zhang
Creating aesthetically pleasing pieces of art, including music, has been a long-term goal for artificial intelligence research.