← Authors

Weiyue Wang

30 papers · 2016–2022 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (18) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (2) πŸ’Ž Century Club (30) πŸ—ƒοΈ Keyword Collector (107) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (7) ⚑ Prolific Year (6)

Conferences

ACL (8) CVPR (5) IJCNLP (4) ECCV (3) AACL (2) EMNLP (2) ICCV (2) COLING (1) INTERSPEECH (1) NIPS (1) WACV (1)

Top co-authors

Hermann Ney (18) Yingbo Gao (8) Ulrich Neumann (7) Dragomir Anguelov (5) Zijian Yang (4) Evgeniia Tokarchuk (4) Xiao Zhang (3) Qiangui Huang (3) Qiangeng Xu (3) Jan Rosendahl (3)

Keywords

neural network (7) point cloud (5) neural machine translation (5) machine translation (4) hidden markov model (4) 3d object detection (3) transfer learning (3) sequence-to-sequence model (3) named entity recognition (3) sequence labeling (2) data augmentation (2) end-to-end training (2) non-autoregressive transformer (2) attention mechanism (2) gaussian mixture model (2) synthetic datum (2) pedestrian detection (2) 3d reconstruction (2) autonomous driving (2) variational inference (2)

Papers

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds ECCV 2022
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds ECCV 2022
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels CVPR 2021
Transformer-Based Direct Hidden Markov Model for Machine Translation IJCNLP 2021
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition IJCNLP 2021
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation ICCV 2021
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition ACL 2021
Transformer-Based Direct Hidden Markov Model for Machine Translation ACL 2021
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer IJCNLP 2021
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer ACL 2021
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection CVPR 2021
Stochastic Dynamics for Video Infilling WACV 2020
Towards a Better Understanding of Label Smoothing in Neural Machine Translation AACL 2020
Predicting and Using Target Length in Neural Machine Translation AACL 2020
Neural Language Modeling for Named Entity Recognition COLING 2020
Towards a Better Evaluation of Metrics for Machine Translation EMNLP 2020
Investigation of Large-Margin Softmax in Neural Language Modeling INTERSPEECH 2020
The RWTH Aachen University Machine Translation Systems for WMT 2019 ACL 2019
uniblock: Scoring and Filtering Corpus with Unicode Block Information IJCNLP 2019
EED: Extended Edit Distance Measure for Machine Translation ACL 2019
uniblock: Scoring and Filtering Corpus with Unicode Block Information EMNLP 2019
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction NIPS 2019
3DN: 3D Deformation Network CVPR 2019
Recurrent Slice Networks for 3D Segmentation of Point Clouds CVPR 2018
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation CVPR 2018
Neural Hidden Markov Model for Machine Translation ACL 2018
Depth-aware CNN for RGB-D Segmentation ECCV 2018
Shape Inpainting Using 3D Generative Adversarial Network and Recurrent Convolutional Networks ICCV 2017
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation ACL 2017
Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation ACL 2016