Search Results for author: Weiyue Wang

Found 35 papers, 7 papers with code

Towards a Better Evaluation of Metrics for Machine Translation

no code implementations WMT (EMNLP) 2020 Peter Stanchev, Weiyue Wang, Hermann Ney

An important aspect of machine translation is its evaluation, which can be achieved through the use of a variety of metrics.

Machine Translation Translation

Analysis of Positional Encodings for Neural Machine Translation

no code implementations EMNLP (IWSLT) 2019 Jan Rosendahl, Viet Anh Khoa Tran, Weiyue Wang, Hermann Ney

In this work we analyze and compare the behavior of the Transformer architecture when using different positional encoding methods.

Machine Translation Sentence +1

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting

no code implementations7 Apr 2023 Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov

To study the effect of these modular approaches, design new paradigms that mitigate these limitations, and accelerate the development of end-to-end motion forecasting models, we augment the Waymo Open Motion Dataset (WOMD) with large-scale, high-quality, diverse LiDAR data for the motion forecasting task.

Motion Forecasting

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

no code implementations24 Oct 2022 Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov

To alleviate the cost of hyperparameter tuning and iterative pseudo labeling, we develop a population-based data augmentation framework for 3D detection, named AutoPseudoAugment.

Data Augmentation Pseudo Label

Multi-Class 3D Object Detection with Single-Class Supervision

no code implementations11 May 2022 Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov

While multi-class 3D detectors are needed in many robotics applications, training them with fully labeled datasets can be expensive in labeling cost.

3D Object Detection Object +1

Transformer-Based Direct Hidden Markov Model for Machine Translation

no code implementations ACL 2021 Weiyue Wang, Zijian Yang, Yingbo Gao, Hermann Ney

The neural hidden Markov model has been proposed as an alternative to attention mechanism in machine translation with recurrent neural networks.

Machine Translation Translation

Neural Language Modeling for Named Entity Recognition

no code implementations COLING 2020 Zhihong Lei, Weiyue Wang, Christian Dugast, Hermann Ney

Named entity recognition is a key component in various natural language processing systems, and neural architectures provide significant improvements over conventional approaches.

Language Modelling named-entity-recognition +2

Investigation of Large-Margin Softmax in Neural Language Modeling

no code implementations20 May 2020 Jingjing Huo, Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney

After that, we apply the best norm-scaling setup in combination with various margins and conduct neural language models rescoring experiments in automatic speech recognition.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification

no code implementations EMNLP (IWSLT) 2019 Yingbo Gao, Christian Herold, Weiyue Wang, Hermann Ney

Prominently used in support vector machines and logistic regressions, kernel functions (kernels) can implicitly map data points into high dimensional spaces and make it easier to learn complex decision boundaries.

General Classification Language Modelling +2

uniblock: Scoring and Filtering Corpus with Unicode Block Information

1 code implementation IJCNLP 2019 Yingbo Gao, Weiyue Wang, Hermann Ney

The preprocessing pipelines in Natural Language Processing usually involve a step of removing sentences consisted of illegal characters.

Language Modelling Machine Translation +4

EED: Extended Edit Distance Measure for Machine Translation

no code implementations WS 2019 Peter Stanchev, Weiyue Wang, Hermann Ney

Over the years a number of machine translation metrics have been developed in order to evaluate the accuracy and quality of machine-generated translations.

Machine Translation Translation

The RWTH Aachen University Machine Translation Systems for WMT 2019

no code implementations WS 2019 Jan Rosendahl, Christian Herold, Yunsu Kim, Miguel Gra{\c{c}}a, Weiyue Wang, Parnia Bahar, Yingbo Gao, Hermann Ney

For the De-En task, none of the tested methods gave a significant improvement over last years winning system and we end up with the same performance, resulting in 39. 6{\%} BLEU on newstest2019.

Attribute Language Modelling +3

3DN: 3D Deformation Network

1 code implementation CVPR 2019 Weiyue Wang, Duygu Ceylan, Radomir Mech, Ulrich Neumann

Given such a source 3D model and a target which can be a 2D image, 3D model, or a point cloud acquired as a depth scan, we introduce 3DN, an end-to-end network that deforms the source model to resemble the target.

3D Shape Generation

Stochastic Dynamics for Video Infilling

no code implementations1 Sep 2018 Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann

In this paper, we introduce a stochastic dynamics video infilling (SDVI) framework to generate frames between long intervals in a video.

Neural Hidden Markov Model for Machine Translation

no code implementations ACL 2018 Weiyue Wang, Derui Zhu, Tamer Alkhouli, Zixuan Gan, Hermann Ney

Attention-based neural machine translation (NMT) models selectively focus on specific source positions to produce a translation, which brings significant improvements over pure encoder-decoder sequence-to-sequence models.

Machine Translation NMT +1

Depth-aware CNN for RGB-D Segmentation

4 code implementations ECCV 2018 Weiyue Wang, Ulrich Neumann

Convolutional neural networks (CNN) are limited by the lack of capability to handle geometric information due to the fixed grid kernel structure.

Segmentation Semantic Segmentation +1

SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

1 code implementation CVPR 2018 Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann

Experimental results on various 3D scenes show the effectiveness of our method on 3D instance segmentation, and we also evaluate the capability of SGPN to improve 3D object detection and semantic segmentation results.

3D Instance Segmentation 3D Object Detection +5

Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks

1 code implementation ICCV 2017 Weiyue Wang, Qiangui Huang, Suya You, Chao Yang, Ulrich Neumann

The 3D-ED-GAN is a 3D convolutional neural network trained with a generative adversarial paradigm to fill missing 3D data in low-resolution.

Generative Adversarial Network

Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation

no code implementations ACL 2017 Weiyue Wang, Tamer Alkhouli, Derui Zhu, Hermann Ney

Recently, the neural machine translation systems showed their promising performance and surpassed the phrase-based systems for most translation tasks.

Machine Translation Translation +1

Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning

no code implementations22 Nov 2016 Qiangui Huang, Weiyue Wang, Kevin Zhou, Suya You, Ulrich Neumann

A novel neural network architecture is built for scene labeling tasks where one of the variants of the new RNN unit, Gated Recurrent Unit with Explicit Long-range Conditioning (GRU-ELC), is used to model multi scale contextual dependencies in images.

Scene Labeling

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