no code implementations • ACL 2022 • Xi Ai, Bin Fang
In sequence modeling, certain tokens are usually less ambiguous than others, and representations of these tokens require fewer refinements for disambiguation.
no code implementations • COLING 2022 • Xi Ai, Bin Fang
A Multilingual model relies on language encodings to identify input languages because the multilingual model has to distinguish between the input and output languages or among all the languages for cross-lingual tasks.
no code implementations • 14 Mar 2024 • Ning Cheng, You Li, Jing Gao, Bin Fang, Jinan Xu, Wenjuan Han
Tactility provides crucial support and enhancement for the perception and interaction capabilities of both humans and robots.
no code implementations • 19 Feb 2024 • Qunyue Huang, Bin Fang
The batch-level quality comparison task is formulated to enhance the training data and thus improve the robustness of the latent representations.
no code implementations • 18 May 2023 • Bin Fang, Bo Li, Shuang Wu, Tianyi Zheng, Shouhong Ding, Ran Yi, Lizhuang Ma
One of the crucial factors contributing to this success has been the access to an abundance of high-quality data for constructing machine learning models.
no code implementations • 18 May 2023 • Bin Fang, Bo Li, Shuang Wu, Ran Yi, Shouhong Ding, Lizhuang Ma
The unauthorized use of personal data for commercial purposes and the clandestine acquisition of private data for training machine learning models continue to raise concerns.
no code implementations • 21 Feb 2023 • Yuhong Deng, Xiaofeng Guo, Yixuan Wei, Kai Lu, Bin Fang, Di Guo, Huaping Liu, Fuchun Sun
A composite robotic hand composed of a suction cup and a gripper is designed for grasping the object stably.
no code implementations • 15 Oct 2022 • Ruisheng Ran, Tianyu Gao, Bin Fang
Recently, Transformer is much popular and plays an important role in the fields of Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision (CV), etc.
no code implementations • 4 Oct 2022 • Anjun Chen, Xiangyu Wang, Kun Shi, Shaohao Zhu, Bin Fang, Yingfeng Chen, Jiming Chen, Yuchi Huo, Qi Ye
However, combining RGB and mmWave signals for robust all-weather 3D human reconstruction is still an open challenge, given the sparse nature of mmWave and the vulnerability of RGB images.
2 code implementations • 11 Aug 2021 • Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li
By contrast, EIP models the tactile sensor as a group of coordinated particles, and the elastic property is applied to regulate the deformation of particles during contact.
no code implementations • NAACL 2021 • Xi Ai, Bin Fang
In this work, to inject global information but also save cost, we present an efficient method to sample and consider a semantic draft as global information from semantic space for decoding with almost free of cost.
no code implementations • 23 Nov 2020 • Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun
At its core, EIP models the tactile sensor as a group of coordinated particles, and the elastic theory is applied to regulate the deformation of particles during the contact process.
2 code implementations • CVPR 2020 • Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang
The proposed architecture, termed as NICE-GAN, exhibits two advantageous patterns over previous approaches: First, it is more compact since no independent encoding component is required; Second, this plug-in encoder is directly trained by the adversary loss, making it more informative and trained more effectively if a multi-scale discriminator is applied.
no code implementations • 16 Nov 2019 • Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu
In this paper, we study Reinforcement Learning from Demonstrations (RLfD) that improves the exploration efficiency of Reinforcement Learning (RL) by providing expert demonstrations.
no code implementations • 25 Apr 2019 • Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang
Different functional areas of the human brain play different roles in brain activity, which has not been paid sufficient research attention in the brain-computer interface (BCI) field.
4 code implementations • 17 Sep 2018 • Hongzhuo Liang, Xiaojian Ma, Shuang Li, Michael Görner, Song Tang, Bin Fang, Fuchun Sun, Jianwei Zhang
In this paper, we propose an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
Robotics