Research

Language and Speech Processing

The Johns Hopkins Center for Language and Speech Processing (CLSP) is an interdisciplinary research and educational center focused on the science and technology of language and speech. Within its field, the CLSP is recognized as one of the world’s largest and most influential academic research centers. The center conducts research across a broad spectrum of fundamental and applied topics, including acoustic processing, automatic speech recognition, big data, cognitive modeling, computational linguistics, information extraction, machine learning, machine translation, and text analysis.

  • Paralinguistic information from speech
  • Accented, dialectal and code-mixed speech
  • Spoken language understanding
  • Machine translation¬† and massively multilingual processing
  • Knowledge extraction and representation
  • Reasoning on knowledge graphs
  • Text understanding

Computer Vision

The Laboratory for Computational Sensing and Robotics (LCSR) at Johns Hopkins is one of the world’s most technologically advanced robotics research centers and is an international leader in the areas of medical robotics, autonomous systems, and bio-inspired robots.

The Center for Imaging Science (CIS) sits at the intersection of mathematics, computer science, biomedical engineering, and electrical engineering. Its members are developing tools to extract patterns and meaning from various types of large-scale datasets, and are applying this knowledge to guide new advances in facial recognition software, vision-based navigation systems for robots and self-driving cars, disease diagnosis and treatment, and more.

  • Object detection
  • Fine-grained categorization
  • Visual embeddings, search, and retrieval
  • 3D reconstruction
  • Depth estimation
  • Video analysis
  • Video summarization
  • Activity recognition

Computer Vision

The Laboratory for Computational Sensing and Robotics (LCSR) at Johns Hopkins is one of the world’s most technologically advanced robotics research centers, and is an international leader in the areas of medical robotics, autonomous systems, and bio-inspired robots.¬†

  • Object detection
  • Fine-grained categorization
  • Visual embeddings, search, and retrieval
  • 3D reconstruction
  • Depth estimation
  • Video analysis
  • Video summarization
  • Activity recognition

Machine Learning

The Johns Hopkins University’s Mathematical Institute for Data Science (MINDS) is aimed at developing the mathematical theories that will hasten the analysis of the massive amounts of data being used to study everything from the inner workings of the human cell to the structure of the universe.

The Institute for Assured Autonomy (IAA) also conducts research in Machine learning with regard to Assurance and Autonomous Systems. The IAA is a national center of excellence ensuring the safe, secure, reliable, and predictable integration of autonomous systems into society by covering the full spectrum of research across the three pillars of technology, ecosystem, and ethics and governance. Its goal is to ensure that autonomous systems will be trusted to operate as expected, to respond safely to unexpected inputs, to withstand corruption by adversaries, and to integrate seamlessly into society.

  • Causal inference
  • Contrastive learning
  • Explainable AI
  • Graph neural networks
  • Multimodal AI
    • Vision and language
    • Visual grounding
    • Image and video captioning
  • Network distillation