465 citations
- Tsinghua UniversityCN36 papers
- Beijing National Research Center for Information Science and TechnologyCN18 papers
- Tencent (China)CN4 papers
- Microsoft (United States)US3 papers
- Universität HamburgDE3 papers
- Beijing University of Posts and TelecommunicationsCN2 papers
- Carnegie Mellon UniversityUS2 papers
- Georgia Institute of TechnologyUS2 papers
- University of California, Los AngelesUS2 papers
- University of Hong KongHK2 papers
- Alibaba Group (China)CN1 paper
- Beihang UniversityCN1 paper
36 papers
Resolution Switchable Networks for Runtime Efficient Image Recognition
Yikai Wang, Fuchun Sun, Duo Li +1
We propose a general method to train a single convolutional neural network which is capable of switching image resolutions at inference. Thus the running speed can be selected to m…
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation
Yansong Tang, Jiwen Lu, Jie Zhou
Thanks to the substantial and explosively inscreased instructional videos on the Internet, novices are able to acquire knowledge for completing various tasks. Over the past decade,…
A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
Shuang Li, Jiaxi Jiang, Philipp Ruppel +5
In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking me…
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier
Ting-En Lin, Hua Xu
With the maturity and popularity of dialogue systems, detecting user's unknown intent in dialogue systems has become an important task. It is also one of the most challenging tasks…
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
Qi Zhu, Zheng Zhang, Yan Fang +7
We present ConvLab-2, an open-source toolkit that enables researchers to build task-oriented dialogue systems with state-of-the-art models, perform an end-to-end evaluation, and di…
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
Houyu Zhang, Zhenghao Liu, Chenyan Xiong +1
Human conversations naturally evolve around related concepts and scatter to multi-hop concepts. This paper presents a new conversation generation model, ConceptFlow, which leverage…