Search Results for author: Bin Fang

Found 16 papers, 3 papers with code

Leveraging Relaxed Equilibrium by Lazy Transition for Sequence Modeling

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.

LAMBADA Learning to Execute +2

Vocabulary-informed Language Encoding

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.

Machine Translation Translation +1

Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset

no code implementations14 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.

Sentence

A Lightweight Parallel Framework for Blind Image Quality Assessment

no code implementations19 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.

Blind Image Quality Assessment

Towards Generalizable Data Protection With Transferable Unlearnable Examples

no code implementations18 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.

Re-thinking Data Availablity Attacks Against Deep Neural Networks

no code implementations18 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.

Transformer-based dimensionality reduction

no code implementations15 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.

Data Visualization Dimensionality Reduction +2

ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions

no code implementations4 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.

3D Human Reconstruction

Elastic Tactile Simulation Towards Tactile-Visual Perception

2 code implementations11 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.

Almost Free Semantic Draft for Neural Machine Translation

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.

Machine Translation Sentence +1

Elastic Interaction of Particles for Robotic Tactile Simulation

no code implementations23 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.

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

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.

Translation Unsupervised Image-To-Image Translation

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance

no code implementations16 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.

reinforcement-learning Reinforcement Learning (RL)

Attention-based Transfer Learning for Brain-computer Interface

no code implementations25 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.

Brain Computer Interface Classification +4

PointNetGPD: Detecting Grasp Configurations from Point Sets

4 code implementations17 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

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