World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
86
Citations
37329
World Ranking
755
National Ranking
401

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to computer vision, image processing, and multimedia
  • 2005 - Hellman Fellow

Overview

Nuno Vasconcelos is affiliated with the University of California, San Diego in the United States. Their research primarily spans the field of Computer Science, with extensive work in Computer Vision and Pattern Recognition, and Artificial Intelligence. Additional subfields include Computational Mechanics, Biomedical Engineering, and Radiology, Nuclear Medicine and Imaging.

The scientist's research topics cover a variety of areas, including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Adversarial Robustness in Machine Learning

Vasconcelos has published numerous papers in leading venues. Some recent notable publications are:

  • "A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects" (2023), published in Nature Biotechnology
  • "Class-Incremental Learning with Strong Pre-trained Models" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "MicroNet: Improving Image Recognition with Extremely Low FLOPs" (2021), at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition" (2021), also at ICCV 2021
  • "Contrastive Learning with Adversarial Examples" (2020), published on arXiv (Cornell University)

They frequently publish in venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Brachytherapy
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist has collaborated extensively with several frequent coauthors, including:

  • Chih-Hui Ho
  • Yunsheng Li
  • Tz-Ying Wu
  • Jiteng Mu
  • Yinpeng Chen

Nuno Vasconcelos has received the IEEE Fellow recognition in 2017 for contributions to computer vision, image processing, and multimedia. They were also awarded the Hellman Fellowship in 2005.

Best Publications

  • Cascade R-CNN: Delving Into High Quality Object Detection

    Zhaowei Cai;Nuno Vasconcelos

  • A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection

    Zhaowei Cai;Quanfu Fan;Rogério Schmidt Feris;Nuno Vasconcelos

  • Cascade R-CNN: High Quality Object Detection and Instance Segmentation

    Zhaowei Cai;Nuno Vasconcelos

  • Anomaly detection in crowded scenes

    Vijay Mahadevan;Weixin Li;Viral Bhalodia;Nuno Vasconcelos

  • A new approach to cross-modal multimedia retrieval

    Nikhil Rasiwasia;Jose Costa Pereira;Emanuele Coviello;Gabriel Doyle

  • Privacy preserving crowd monitoring: Counting people without people models or tracking

    A.B. Chan;Z.-S.J. Liang;N. Vasconcelos

  • Supervised Learning of Semantic Classes for Image Annotation and Retrieval

    G. Carneiro;A.B. Chan;P.J. Moreno;N. Vasconcelos

  • Anomaly Detection and Localization in Crowded Scenes

    Weixin Li;Vijay Mahadevan;Nuno Vasconcelos

  • Bidirectional Learning for Domain Adaptation of Semantic Segmentation

    Yunsheng Li;Lu Yuan;Nuno Vasconcelos

  • A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications

    Pedro J. Moreno;Purdy P. Ho;Nuno Vasconcelos

  • Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures

    A.B. Chan;N. Vasconcelos

  • Deep Learning with Low Precision by Half-Wave Gaussian Quantization

    Zhaowei Cai;Xiaodong He;Jian Sun;Nuno Vasconcelos

  • Bayesian Poisson regression for crowd counting

    Antoni B. Chan;Nuno Vasconcelos

  • Spatiotemporal Saliency in Dynamic Scenes

    V. Mahadevan;N. Vasconcelos

  • Counting People With Low-Level Features and Bayesian Regression

    A. B. Chan;N. Vasconcelos

  • On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval

    Jose Costa Pereira;Emanuele Coviello;Gabriel Doyle;Nikhil Rasiwasia

  • Learning Complexity-Aware Cascades for Deep Pedestrian Detection

    Zhaowei Cai;Mohammad Saberian;Nuno Vasconcelos

  • Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition

    Dashan Gao;Sunhyoung Han;N. Vasconcelos

  • On the plausibility of the discriminant center-surround hypothesis for visual saliency.

    Dashan Gao;Vijay Mahadevan;Nuno Vasconcelos

  • RESOUND: Towards Action Recognition Without Representation Bias

    Yingwei Li;Yi Li;Nuno Vasconcelos

  • Bridging the Gap: Query by Semantic Example

    Nikhil Rasiwasia;P.J. Moreno;N. Vasconcelos

Frequent Co-Authors

Antoni B. Chan
Antoni B. Chan City University of Hong Kong
Gustavo Carneiro
Gustavo Carneiro University of Surrey
Pedro J. Moreno
Pedro J. Moreno Google (United States)
Marc Niethammer
Marc Niethammer University of North Carolina at Chapel Hill
Gert R. G. Lanckriet
Gert R. G. Lanckriet University of California, San Diego
Harpreet Sawhney
Harpreet Sawhney Microsoft (United States)
Rogerio Feris
Rogerio Feris IBM (United States)
Jacqueline Kerr
Jacqueline Kerr University of California, San Diego
Pamela C. Cosman
Pamela C. Cosman University of California, San Diego

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