World's Best Scientists 2026 revealed!
Award Badge
Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
139
Citations
73955
World Ranking
72
National Ranking
42

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2017 - ACM Fellow For contributions to large-scale multimedia content recognition and multimedia information retrieval
  • 2010 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2009 - IEEE Kiyo Tomiyasu Award “For contributions to Automated Image Classification.”

Overview

Shih-Fu Chang is affiliated with Columbia University in the United States and has made significant contributions in the field of computer science, particularly in computer vision and artificial intelligence. Their research spans multiple subfields including computer vision and pattern recognition, artificial intelligence, infectious diseases, biomedical engineering, and radiology, nuclear medicine and imaging.

The scientist's work covers a variety of topics, emphasizing multimodal machine learning applications, domain adaptation and few-shot learning, advanced image and video retrieval techniques, advanced neural network applications, topic modeling, human pose and action recognition, and natural language processing techniques.

Shih-Fu Chang has a number of recent publications, notable for their focus on few-shot object detection and connections between text and images. Key papers include:

  • "Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment" (2022), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Few-Shot Object Detection with Fully Cross-Transformer" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "CLIP-Event: Connecting Text and Images with Event Structures" (2022), featured in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding" (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence

The frequent co-authors in their research include Jiawei Ma, Guangxing Han, Alireza Zareian, Haoxuan You, and Shiyuan Huang.

Shih-Fu Chang has published extensively in venues such as arXiv (Cornell University), the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the IEEE/CVF International Conference on Computer Vision (ICCV), the Proceedings of the AAAI Conference on Artificial Intelligence, and bioRxiv (Cold Spring Harbor Laboratory).

Awards received by Shih-Fu Chang include the ACM Fellow in 2017 for contributions to large-scale multimedia content recognition and multimedia information retrieval, the Fellow of the American Association for the Advancement of Science (AAAS) in 2010, and the IEEE Kiyo Tomiyasu Award in 2009 for contributions to automated image classification.

Best Publications

  • VisualSEEk: a fully automated content-based image query system

    John R. Smith;Shih-Fu Chang

  • Search for dark matter and large extra dimensions in monojet events in pp collisions at √s = 7 TeV

    S. Chatrchyan;V. Khachatryan;A. M. Sirunyan;A. Tumasyan

  • Image Retrieval: Current Techniques, Promising Directions, and Open Issues

    Unknown

  • Supervised hashing with kernels

    Wei Liu;Jun Wang;Rongrong Ji;Yu-Gang Jiang

  • Hashing with Graphs

    Wei Liu;Jun Wang;Sanjiv Kumar;Shih-fu Chang

  • Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

    Zheng Shou;Dongang Wang;Shih-Fu Chang

  • Tools and techniques for color image retrieval

    John R. Smith;Shih-Fu Chang

  • Semi-Supervised Hashing for Large-Scale Search

    Jun Wang;S. Kumar;Shih-Fu Chang

  • Large-scale visual sentiment ontology and detectors using adjective noun pairs

    Damian Borth;Rongrong Ji;Tao Chen;Thomas Breuel

  • Large-scale concept ontology for multimedia

    M. Naphade;J.R. Smith;J. Tesic;Shih-Fu Chang

  • A robust image authentication method distinguishing JPEG compression from malicious manipulation

    Ching-Yung Lin;Shih-Fu Chang

  • A robust content based digital signature for image authentication

    M. Schneider;Shih-Fu Chang

  • Semi-supervised hashing for scalable image retrieval

    Jun Wang;Sanjiv Kumar;Shih-Fu Chang

  • Overview of the MPEG-7 standard

    Shih-Fu Chang;T. Sikora;A. Purl

  • Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

    Mang Ye;Xu Zhang;Pong C. Yuen;Shih-Fu Chang

  • A fully automated content-based video search engine supporting spatiotemporal queries

    Shih-Fu Chang;W. Chen;H.J. Meng;H. Sundaram

  • Large Graph Construction for Scalable Semi-Supervised Learning

    Wei Liu;Junfeng He;Shih-fu Chang

  • CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos

    Zheng Shou;Jonathan Chan;Alireza Zareian;Kazuyuki Miyazawa

  • Visually searching the Web for content

    J.R. Smith;Shih-Fu Chang

  • Transform features for texture classification and discrimination in large image databases

    J.R. Smith;Shih-Fu Chang

  • Scene change detection in an MPEG-compressed video sequence

    Jianhao Meng;Yujen Juan;Shih-Fu Chang

  • Manipulation and compositing of MC-DCT compressed video

    Shih-Fu Chang;D.G. Messerschmitt

Frequent Co-Authors

John R. Smith
John R. Smith IBM (United States)
Felix X. Yu
Felix X. Yu Google (United States)
Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Sanjiv Kumar
Sanjiv Kumar Google (United States)
Wei Liu
Wei Liu Tencent (China)
Lyndon Kennedy
Lyndon Kennedy Apple (United States)
Ching-Yung Lin
Ching-Yung Lin National Chi Nan University
Hari Sundaram
Hari Sundaram University of Illinois at Urbana-Champaign
Winston H. Hsu
Winston H. Hsu National Taiwan University
Lexing Xie
Lexing Xie Australian National University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Interested in expanding your expertise beyond computer science? A range of cheapest online physics degree programs can help you build strong analytical and problem-solving skills at an affordable cost.

Data science is another in-demand field, and pursuing the cheapest data science masters in usa can open doors to high-paying roles in tech, finance, and healthcare. Programs in electrical engineering are also popular, with the best online electrical engineering programs USA offering flexible options for both recent graduates and working professionals.

For those seeking quicker career transitions, consider 3-month certificate programs that pay well. These certifications can often be completed online and provide a fast pathway to lucrative positions in various industries.

No matter which path you choose, online degree and certificate programs make it easier than ever to gain valuable skills, boost your earning potential, and move your career forward in the fast-evolving world of technology.

Best Scientists Citing Shih-Fu Chang

Trending Scientists

Recently Published Articles