research
∙
10/24/2022
Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech
Language barriers present a great challenge in our increasingly connecte...
share
research
∙
10/13/2022
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds
3D object detection in point clouds is a core component for modern robot...
research
∙
05/11/2022
Multi-Class 3D Object Detection with Single-Class Supervision
While multi-class 3D detectors are needed in many robotics applications,...
research
∙
10/12/2021
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition
Data processing is an important step in various natural language process...
research
∙
09/27/2021
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer
Pivot-based neural machine translation (NMT) is commonly used in low-res...
research
∙
09/27/2021
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer
Complex natural language applications such as speech translation or pivo...
research
∙
08/15/2021
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
In autonomous driving, a LiDAR-based object detector should perform reli...
research
∙
05/20/2020
Investigation of Large-Margin Softmax in Neural Language Modeling
To encourage intra-class compactness and inter-class separability among ...
research
∙
10/28/2019
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Prominently used in support vector machines and logistic regressions, ke...
research
∙
08/26/2019
uniblock: Scoring and Filtering Corpus with Unicode Block Information
The preprocessing pipelines in Natural Language Processing usually invol...
research
∙
05/26/2019
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
Reconstructing 3D shapes from single-view images has been a long-standin...
research
∙
03/08/2019
3DN: 3D Deformation Network
Applications in virtual and augmented reality create a demand for rapid ...
research
∙
03/19/2018
Depth-aware CNN for RGB-D Segmentation
Convolutional neural networks (CNN) are limited by the lack of capabilit...
research
∙
02/13/2018
Recurrent Slice Networks for 3D Segmentation on Point Clouds
In this paper, we present a conceptually simple and powerful framework, ...
research
∙
11/23/2017
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
We introduce Similarity Group Proposal Network (SGPN), a simple and intu...
research
∙
11/17/2017
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks
Recent advances in convolutional neural networks have shown promising re...
research
∙
11/22/2016
Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning
Recurrent neural network (RNN), as a powerful contextual dependency mode...
research
∙
02/16/2016
