World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
12010
World Ranking
8187
National Ranking
492

Overview

Xiaodong Yang is affiliated with Nvidia in the United Kingdom and conducts research primarily within the broad field of computer science. Their academic work focuses predominantly on computer vision and pattern recognition, with contributions spanning related subfields such as artificial intelligence, computer graphics and computer-aided design, aerospace engineering, and media technology.

Their published work includes research themes centered on advanced vision and imaging, advanced image processing techniques, and advanced image and video retrieval techniques. Additional topics covered in their publications involve computer graphics and visualization techniques, advanced data compression techniques, image enhancement techniques, and human pose and action recognition.

Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • Neurocomputing
  • International Journal of Machine Learning and Cybernetics
  • SSRN Electronic Journal
  • Intelligent Medicine

Notable recent papers authored or co-authored by Xiaodong Yang are:

  • "Hierarchical Contrastive Motion Learning for Video Action Recognition," 2020, arXiv (Cornell University)
  • "4D Gaussian Splatting for high-fidelity dynamic reconstruction of single-view scenes," 2025, Neurocomputing
  • "An adaptive joint optimization framework for pruning and quantization," 2024, International Journal of Machine Learning and Cybernetics
  • "GEDepth: Ground Embedding for Monocular Depth Estimation," 2023, arXiv (Cornell University)
  • "4d Gaussian Splatting for High-Fidelity Dynamic Reconstruction of Single-View Scenes," 2024, SSRN Electronic Journal

They have collaborated frequently with several co-authors, including:

  • Weixing Xie
  • Yihang Fu
  • Wentao Fan
  • Sen Peng
  • Baorong Yang

The distribution of their contributions indicates a strong emphasis on research at the intersection of computer vision techniques and machine learning methodologies. Their work on motion learning, depth estimation, and dynamic scene reconstruction reflects practical applications in video analytics and imaging technologies.

Best Publications

  • PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

    Deqing Sun;Xiaodong Yang;Ming-Yu Liu;Jan Kautz

  • MoCoGAN: Decomposing Motion and Content for Video Generation

    Sergey Tulyakov;Ming-Yu Liu;Xiaodong Yang;Jan Kautz

  • Joint Discriminative and Generative Learning for Person Re-Identification

    Zhedong Zheng;Xiaodong Yang;Zhiding Yu;Liang Zheng

  • Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks

    Pavlo Molchanov;Xiaodong Yang;Shalini Gupta;Kihwan Kim

  • Recognizing actions using depth motion maps-based histograms of oriented gradients

    Xiaodong Yang;Chenyang Zhang;YingLi Tian

  • EigenJoints-based action recognition using Naïve-Bayes-Nearest-Neighbor

    Xiaodong Yang;Ying Li Tian

  • Super Normal Vector for Activity Recognition Using Depth Sequences

    Xiaodong Yang;YingLi Tian

  • CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

    Zheng Tang;Milind Naphade;Ming-Yu Liu;Xiaodong Yang

  • Effective 3D action recognition using EigenJoints

    Xiaodong Yang;YingLi Tian

  • Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification.

    Yang Zou;Xiaodong Yang;Zhiding Yu;B. V. K. Vijaya Kumar

  • Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection

    Zhongzheng Ren;Zhiding Yu;Xiaodong Yang;Ming-Yu Liu

  • Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

    Deqing Sun;Xiaodong Yang;Ming-Yu Liu;Jan Kautz

  • PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

    Zheng Tang;Milind Naphade;Stan Birchfield;Jonathan Tremblay

  • Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction

    Longlong Jing;Xiaodong Yang;Jingen Liu;Yingli Tian

  • Super Normal Vector for Human Activity Recognition with Depth Cameras

    Xiaodong Yang;YingLi Tian

  • Simulating Content Consistent Vehicle Datasets with Attribute Descent.

    Yue Yao;Liang Zheng;Xiaodong Yang;Milind Naphade

  • Robust and Effective Component-Based Banknote Recognition for the Blind

    Faiz M. Hasanuzzaman;Xiaodong Yang;YingLi Tian

  • STEP: Spatio-Temporal Progressive Learning for Video Action Detection

    Xitong Yang;Xiaodong Yang;Ming-Yu Liu;Fanyi Xiao

  • Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification

    Xiaodong Yang;Pavlo Molchanov;Jan Kautz

  • Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network

    Jinwei Gu;Xiaodong Yang;Shalini De Mello;Jan Kautz

  • Toward a Computer Vision-based Wayfinding Aid for Blind Persons to Access Unfamiliar Indoor Environments.

    YingLi Tian;Xiaodong Yang;Chucai Yi;Aries Arditi

Frequent Co-Authors

Yingli Tian
Yingli Tian City University of New York
Jan Kautz
Jan Kautz Nvidia (United States)
Ming-Yu Liu
Ming-Yu Liu Nvidia (United States)
Milind R. Naphade
Milind R. Naphade Nvidia (United States)
Liang Zheng
Liang Zheng Australian National University
Zheng Tang
Zheng Tang Donghua University
Deqing Sun
Deqing Sun Google (United States)
Gal Chechik
Gal Chechik Bar-Ilan University
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign
Kihwan Kim
Kihwan Kim Nvidia (United Kingdom)

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