World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
15714
World Ranking
2895
National Ranking
397

Overview

Bingbing Ni is affiliated with Shanghai Jiao Tong University in China. Their research primarily focuses on computer science, with a significant number of publications concentrated in the subfields of computer vision and pattern recognition, artificial intelligence, computational mechanics, computer graphics and computer-aided design, and radiology, nuclear medicine, and imaging.

The scientist's research topics include 3D shape modeling and analysis, human pose and action recognition, advanced vision and imaging, generative adversarial networks and image synthesis, computer graphics and visualization techniques, domain adaptation and few-shot learning, as well as multimodal machine learning applications.

Frequent co-authors collaborating with Bingbing Ni include Jiancheng Yang, Wenjun Zhang, Xuanhong Chen, Donglai Wei, and Hanspeter Pfister.

Key publication venues for this scientist cover multiple reputable platforms and conferences, such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Notable recent papers by Bingbing Ni include:

  • MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification (2023), Scientific Data
  • Adversarial Domain Adaptation with Domain Mixup (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet (2020), EBioMedicine
  • Reinventing 2D Convolutions for 3D Images (2021), IEEE Journal of Biomedical and Health Informatics
  • CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis (2021), arXiv (Cornell University)

Best Publications

  • RGBD-HuDaAct: A color-depth video database for human daily activity recognition

    Bingbing Ni;Gang Wang;Pierre Moulin

  • HCP: A Flexible CNN Framework for Multi-Label Image Classification

    Yunchao Wei;Wei Xia;Min Lin;Junshi Huang

  • Crowded Scene Analysis: A Survey

    Teng Li;Huan Chang;Meng Wang;Bingbing Ni

  • Pose Transferrable Person Re-identification

    Jinxian Liu;Bingbing Ni;Yichao Yan;Peng Zhou

  • Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling

    Jiancheng Yang;Qiang Zhang;Bingbing Ni;Linguo Li

  • Scale-Transferrable Object Detection

    Peng Zhou;Bingbing Ni;Cong Geng;Jianguo Hu

  • Adversarial Domain Adaptation with Domain Mixup

    Minghao Xu;Jian Zhang;Bingbing Ni;Teng Li

  • Crowd Counting via Adversarial Cross-Scale Consistency Pursuit

    Zan Shen;Yi Xu;Bingbing Ni;Minsi Wang

  • Variational Convolutional Neural Network Pruning

    Chenglong Zhao;Bingbing Ni;Jian Zhang;Qiwei Zhao

  • Unsupervised Deep Learning for Optical Flow Estimation

    Zhe Ren;Junchi Yan;Bingbing Ni;Bin Liu

  • SimSwap: An Efficient Framework For High Fidelity Face Swapping

    Renwang Chen;Xuanhong Chen;Bingbing Ni;Yanhao Ge

  • MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

    Jiancheng Yang;Rui Shi;Bingbing Ni

  • Assistive tagging: A survey of multimedia tagging with human-computer joint exploration

    Meng Wang;Bingbing Ni;Xian-Sheng Hua;Tat-Seng Chua

  • Person Re-identification via Recurrent Feature Aggregation

    Yichao Yan;Bingbing Ni;Zhichao Song;Chao Ma

  • Cross-Domain Detection via Graph-Induced Prototype Alignment

    Minghao Xu;Hang Wang;Bingbing Ni;Qi Tian

  • Deep Regression Tracking with Shrinkage Loss

    Xiankai Lu;Chao Ma;Bingbing Ni;Xiaokang Yang

  • Temporal Action Localization with Pyramid of Score Distribution Features

    Jun Yuan;Bingbing Ni;Xiaokang Yang;Ashraf A. Kassim

  • 3D Human Action Representation Learning via Cross-View Consistency Pursuit

    Linguo Li;Minsi Wang;Bingbing Ni;Hang Wang

  • 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.

    Wei Zhao;Jiancheng Yang;Yingli Sun;Cheng Li

  • Learning Context Graph for Person Search

    Yichao Yan;Qiang Zhang;Bingbing Ni;Wendong Zhang

  • Geometric ℓ p -norm feature pooling for image classification

    Jiashi Feng;Bingbing Ni;Qi Tian;Shuicheng Yan

  • Deep Kinematics Analysis for Monocular 3D Human Pose Estimation

    Jingwei Xu;Zhenbo Yu;Bingbing Ni;Jiancheng Yang

Frequent Co-Authors

Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Shuicheng Yan
Shuicheng Yan National University of Singapore
Qi Tian
Qi Tian Huawei Technologies (China)
Jingwei Xu
Jingwei Xu Nanjing University
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Pierre Moulin
Pierre Moulin University of Illinois at Urbana-Champaign
Meng Wang
Meng Wang Hefei University of Technology
Ashraf A. Kassim
Ashraf A. Kassim National University of Singapore
Stefan Winkler
Stefan Winkler National University of Singapore
Trevor Darrell
Trevor Darrell University of California, Berkeley

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