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Ming-Hsuan Yang

Professor at UC Merced; Research Scientist at Google DeepMind

Ming-Hsuan Yang is a prominent researcher in the fields of computer vision, machine learning, and artificial intelligence. He currently holds dual positions as a Research Scientist at Google DeepMind and as a Professor in the Electrical Engineering and Computer Science program at the University of California, Merced.13

Academic Background and Achievements

Professor Yang has made significant contributions to his field, as evidenced by his impressive citation count of over 130,000.1 His research focuses on computer vision and related problems, with particular emphasis on object detection, visual tracking, and image processing.3

Some of his notable achievements include:

  • Being named a Highly Cited Researcher by Clarivate Analytics multiple times (2018-2023)2
  • Receiving the IEEE Fellow distinction in January 20192
  • Being elected as an ACM Fellow in December 20212
  • Winning the prestigious Longuet-Higgins Prize in June 2023 for his paper "Online Object Tracking: A Benchmark"2

Awards and Honors

Throughout his career, Professor Yang has received numerous awards and honors, including:

  • NSF Faculty Early Career Development (CAREER) Award (2012)2
  • Google Faculty Award (2009)2
  • UC Merced Senate Award for Distinguished Research (2014)2
  • Multiple Best Paper awards and honorable mentions at top conferences such as IEEE CVPR, ACM UIST, and ACCV2

Professional Experience

In addition to his current roles at Google DeepMind and UC Merced, Professor Yang has established the Vision and Learning Lab at UC Merced.3 He has supervised numerous PhD students and postdoctoral researchers, many of whom have gone on to successful careers in academia and industry.3

Publications and Research Impact

Professor Yang has published extensively in top-tier conferences and journals in his field. Some of his most influential works include:

  • "Online object tracking: A benchmark" (2013), cited over 7,000 times1
  • "Detecting Faces in Images: A Survey" (2002), cited over 6,000 times1
  • "Incremental learning for robust visual tracking" (2008), cited over 4,000 times1

His research has significantly advanced the state-of-the-art in various computer vision tasks and has had a lasting impact on the research community.

Ming-Hsuan Yang's LinkedIn username is minghsuanyang, where more details about his professional background and accomplishments can be found.2

Highlights

Aug 8 · linkedin

Call for Papers: TPAMI Special Issue on "Generative AI in 3D Vision"

Dear Colleagues,

We are pleased to announce a Special Issue on "Generative AI in 3D Vision" in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). This special issue aims to bring together cutting-edge research in the field of 3D generative models and their applications.

Topics of interest include but are not limited to:

Advances in 3D generative models, such as GANs, VAEs, Autoregressive models, Diffusion models, Normalizing Flow, etc. Innovations in 3D representations for GenAI, such as point clouds, meshes, voxels, neural fields, Gaussian splatting, multiplane images, etc. 3D reconstruction from single or sparse views Novel view synthesis 3D human generation, reconstruction, and animation 3D from multi-modality, such as text, audio, etc. Multi-view image generation from multi-modality, such as text, audio, etc. 4D (dynamic) generation and reconstruction 3D scene/object manipulation, such as instruction-based editing, drag-based editing, multi-object interaction, style transfer, etc. Applications of 3D generative models in fields like virtual/augmented reality, gaming, film production, computer-aided design, Metaverse, robotics, and embodied AI Large-scale 3D datasets Evaluation metrics and benchmarks for 3D generative models Efficiency and scalability of 3D generative models Robustness and security of 3D generative models

Important Dates:

Manuscript submission deadline: Oct 15, 2024 First review notification: January 15, 2025 Revised manuscript submission: March 15, 2025 Final review notification: May 15, 2025 Final manuscript submission: June 15, 2025 Publication date: August 15, 2025

For more information, please visit https://genai3d.github.io.

We look forward to your submissions!

Best regards,

Deqing Sun, Xiangyu Xu, Siyu Tang, Angela Dai, Jiajun Wu, Katerina Fragkiadaki, Andrea Tagliasacchi, Christian Theobalt, and Ming-Hsuan Yang

Related Questions

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Ming-Hsuan Yang
Ming-Hsuan Yang, photo 1
Ming-Hsuan Yang, photo 2
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Location

San Francisco Bay Area