Search Results for author:
Found 17 papers, 1 papers with code
Learning Gaussian Instance Segmentation in Point Clouds
This paper presents a novel method for instance segmentation of 3D point clouds.
Ranked #9 on
3D Instance Segmentation
on S3DIS
(mPrec metric)
Silhouette-Net: 3D Hand Pose Estimation from Silhouettes
3D hand pose estimation has received a lot of attention for its wide range of applications and has made great progress owing to the development of deep learning.
Learning to Distill: The Essence Vector Modeling Framework
The D-EV model not only inherits the advantages of the EV model but also can infer a more robust representation for a given spoken paragraph against imperfect speech recognition.
Novel Word Embedding and Translation-based Language Modeling for Extractive Speech Summarization
Word embedding methods revolve around learning continuous distributed vector representations of words with neural networks, which can capture semantic and/or syntactic cues, and in turn be used to induce similarity measures among words, sentences and documents in context.
Improved Spoken Document Summarization with Coverage Modeling Techniques
In addition to MMR, there is only a dearth of research concentrating on reducing redundancy or increasing diversity for the spoken document summarization task, as far as we are aware.
Leveraging Word Embeddings for Spoken Document Summarization
Owing to the rapidly growing multimedia content available on the Internet, extractive spoken document summarization, with the purpose of automatically selecting a set of representative sentences from a spoken document to concisely express the most important theme of the document, has been an active area of research and experimentation.
