World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
47731
World Ranking
1231
National Ranking
650

Overview

Zhuowen Tu is affiliated with the University of California, San Diego in the United States. Their research activity is concentrated within the field of Computer Science, with a substantial focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Graphics and Computer-Aided Design, and Aerospace Engineering.

The scientist's work encompasses a range of topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Generative Adversarial Networks and Image Synthesis, Topic Modeling, and Natural Language Processing Techniques.

Zhuowen Tu has contributed to numerous scientific publications, with frequent appearances in the following venues:

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

Recent selected papers authored or co-authored by Zhuowen Tu include:

  • MeMOT: Multi-Object Tracking with Memory, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Text Spotting Transformers, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ViTGAN: Training GANs with Vision Transformers, 2021, arXiv (Cornell University)
  • BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • Instance Segmentation with Mask-supervised Polygonal Boundary Transformers, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist has worked extensively with several frequent co-authors, including:

  • Stefano Soatto
  • Tyler A. Chang
  • Yuanjun Xiong
  • Weijian Xu
  • Vijay Mahadevan

Best Publications

  • Aggregated Residual Transformations for Deep Neural Networks

    Saining Xie;Ross Girshick;Piotr Dollar;Zhuowen Tu

  • Holistically-Nested Edge Detection

    Saining Xie;Zhuowen Tu

  • Similarity network fusion for aggregating data types on a genomic scale

    Bo Wang;Aziz M Mezlini;Feyyaz Demir;Marc Fiume

  • Integral Channel Features

    Piotr Dollár;Zhuowen Tu;Pietro Perona;Serge J. Belongie

  • Deeply-Supervised Nets

    Chen-Yu Lee;Saining Xie;Patrick W. Gallagher;Zhengyou Zhang

  • Deeply Supervised Salient Object Detection with Short Connections

    Qibin Hou;Ming-Ming Cheng;Xiaowei Hu;Ali Borji

  • Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification

    Saining Xie;Chen Sun;Jonathan Huang;Zhuowen Tu

  • Deeply Supervised Salient Object Detection with Short Connections

    Qibin Hou;Ming-Ming Cheng;Xiaowei Hu;Ali Borji

  • Image parsing : Unifying segmentation, detection, and recognition

    Zhuowen Tu;Xiangrong Chen;Alan L. Yuille;Song Chun Zhu

  • Detecting texts of arbitrary orientations in natural images

    Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma

  • Image segmentation by data-driven Markov chain Monte Carlo

    Zhuowen Tu;Song-Chun Zhu

  • Image parsing: unifying segmentation, detection, and recognition

    Zhuowen Tu;Xiangrong Chen;Yuille;Zhu

  • Holistically-Nested Edge Detection

    Saining Xie;Zhuowen Tu

  • Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

    Zhuowen Tu;Xiang Bai

  • Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods

    J. E. Iglesias;Cheng-Yi Liu;P. M. Thompson;Zhuowen Tu

  • Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering

    Zhuowen Tu

  • Supervised Learning of Edges and Object Boundaries

    P. Dollar;Zhuowen Tu;S. Belongie

  • Robust Point Matching via Vector Field Consensus

    Jiayi Ma;Ji Zhao;Jinwen Tian;Alan L. Yuille

  • Deeply-Supervised Nets

    Chen-Yu Lee;Saining Xie;Patrick Gallagher;Zhengyou Zhang

  • Cluster-Based Co-Saliency Detection

    Huazhu Fu;Xiaochun Cao;Zhuowen Tu

  • Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree

    Chen-Yu Lee;Patrick W. Gallagher;Zhuowen Tu

Frequent Co-Authors

Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Arthur W. Toga
Arthur W. Toga University of Southern California
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Paul M. Thompson
Paul M. Thompson University of Southern California
Wenyu Liu
Wenyu Liu Huazhong University of Science and Technology
Eric Chang
Eric Chang Microsoft (United States)
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Song-Chun Zhu
Song-Chun Zhu Peking University
Georg Langs
Georg Langs Medical University of Vienna
Jun-Yan Zhu
Jun-Yan Zhu Carnegie Mellon University

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