World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6857
World Ranking
9726
National Ranking
4110

Overview

Zhu Liu is affiliated with Amazon in the United States and works primarily in the fields of Computer Science and Engineering. Their research portfolio comprises a significant focus on Computer Vision and Pattern Recognition, contributing extensively to related subfields such as Media Technology, Biomedical Engineering, Computer Networks and Communications, and Artificial Intelligence.

The scientist's work spans several core topics, reflecting a wide-ranging engagement with image processing and analysis. Key areas of interest include:

  • Advanced Image Fusion Techniques
  • Image Enhancement Techniques
  • Visual Attention and Saliency Detection
  • Advanced Vision and Imaging
  • Remote-Sensing Image Classification
  • Image Processing Techniques and Applications
  • Photoacoustic and Ultrasonic Imaging

Zhu Liu has contributed to multiple recent papers, illustrating their involvement in advancing image fusion and related technologies. Notable publications include:

  • Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • NERNet: Noise Estimation and Removal Network for Image Denoising, 2020, Journal of Visual Communication and Image Representation
  • A BiLSTM-Based DDoS Attack Detection Method for Edge Computing, 2022, Energies
  • Breaking Free From Fusion Rule: A Fully Semantic-Driven Infrared and Visible Image Fusion, 2023, IEEE Signal Processing Letters
  • Searching a Compact Architecture for Robust Multi-Exposure Image Fusion, 2024, IEEE Transactions on Circuits and Systems for Video Technology

The venues where Zhu Liu frequently publishes reflect the scientist's technical focus and audience, including:

  • arXiv (Cornell University)
  • IEEE Signal Processing Letters
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Journal of Visual Communication and Image Representation

Collaborations play a considerable role in their work, with frequent co-authors including Xin Fan, Risheng Liu, Jinyuan Liu, Guanyao Wu, and Long Ma. These partnerships span numerous research projects and publications, further emphasizing a collaborative approach within their scientific community.

Best Publications

  • Multimedia content analysis-using both audio and visual clues

    Yao Wang;Zhu Liu;Jin-Cheng Huang

  • Audio Feature Extraction and Analysis for Scene Segmentation and Classification

    Zhu Liu;Yao Wang;Tsuhan Chen

  • Method and apparatus for interactively retrieving content related to previous query results

    Lee Begeja;David Crawford Gibbon;Zhu Liu;Bernard S. Renger

  • Library of existing spoken dialog data for use in generating new natural language spoken dialog systems

    Lee Begeja;Giuseppe Di Fabbrizio;David Crawford Gibbon;Dilek Z. Hakkani-Tur

  • System and method for selecting a multimedia presentation to accompany text

    Zhu Liu;Andrea Basso;Lee Begeja;David C. Gibbon

  • System and method for automated multimedia content indexing and retrieval

    David Crawford Gibbon;Qian Huang;Zhu Liu;Aaron Edward Rosenberg

  • System and method for playing media

    Andrea Basso;Zhu Liu;Bernard S. Renger;Behzad Shahraray

  • System and method for adaptive content rendition

    Andrea Basso;David C. Gibbon;Zhu Liu;Bernard S. Renger

  • Alternate delivery mechanisms of customized video streaming content to devices not meant for receiving video

    Lee Begeja;David Gibbon;Zhu Liu;Robert Markowitz

  • Classification TV programs based on audio information using hidden Markov model

    Z. Liu;J. Huang;Y. Wang

  • Audio feature extraction and analysis for scene classification

    Zhu Liu;Jincheng Huang;Yao Wang;Tsuhan Chen

  • Integration of multimodal features for video scene classification based on HMM

    J. Huang;Z. Liu;Y. Wang;Y. Chen

  • System and method for creating a presentation using natural language

    Patrick Ehlen;David Crawford Gibbon;Mazin Gilbert;Michael Johnston

  • Multimodal Portable Communication Interface for Accessing Video Content

    Behzad Shahraray;David Crawford Gibbon;Bernard S. Renger;Zhu Liu

  • Brief and high-interest video summary generation

    Zhu Liu;Andrea Basso;David Crawford Gibbon;Behzad Shahraray

  • Automated generation of news content hierarchy by integrating audio, video, and text information

    Qian Huang;Zhu Liu;A. Rosenberg;D. Gibbon

  • Integration of audio and visual information for content-based video segmentation

    Jincheng Huang;Zhu Liu;Wang Yao

  • Unsupervised speaker segmentation of multi-speaker speech data

    Allen Louis Gorin;Zhu Liu;Sarangarajan Parthasarathy;Aaron Edward Rosenberg

  • Method and apparatus for automatically converting source video into electronic mail messages

    Lee Begeja;David Crawford Gibbon;Zhu Liu;Robert Edward Markowitz

  • Peer to peer media distribution system and method

    Yih-Farn Chen;David Crawford Gibbon;Zhu Liu;Behzad Shahraray

Frequent Co-Authors

David Crawford Gibbon
David Crawford Gibbon AT&T (United States)
Bernard S. Renger
Bernard S. Renger AT&T (United States)
Behzad Shahraray
Behzad Shahraray AT&T (United States)
Yao Wang
Yao Wang New York University
Patrick Haffner
Patrick Haffner Interactions Corporation
Amy R. Reibman
Amy R. Reibman Purdue University West Lafayette
Allen Louis Gorin
Allen Louis Gorin AT&T (United States)
Aaron E. Rosenberg
Aaron E. Rosenberg AT&T (United States)
Srinivas Bangalore
Srinivas Bangalore Interactions LLC
Tsuhan Chen
Tsuhan Chen Cornell University

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