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Neural Visual AI Lab in the Khoury College of Computer Sciences at Northeastern University is led by Dr. Ehsan Elhamifar. Our research focuses on computer vision, machine learning and AI. Current research in the lab includes long video understanding, egocentric vision, virtual AI assistants, procedural task learning, low-shot, weakly- and self-supervised learning, fine-grained recognition, adversarial attacks and defenses, and structured video summarization. |
Long Video Understanding
Studying temporal action segmentation, action progress prediction and error recognition methods in long videos by capturing long-range temporal dependencies.
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Egocentric Vision
Designing efficient methods for understanding procedures, actions and object states in egocentric videos, particularly for streaming videos.
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Virtual AI Assistants
Developing virtual (AR) AI assistants that can help people with various skill levels in their daily tasks.
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Video Generation Models
Building generative AI models that can capture complexities of actions and scenes.
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Learning with Less Labels
Studying zero-shot, few-shot, weakly-supervised and self-supervised learning methods for video and image understanding.
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Fine-Grained Recognition
Developing methods that can distinguish visually similar actions or objects, especially for human-object interaction.
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Adversarial Attacks
Studying vulnerability of deep learning and generative AI models to adversarial attacks and developing effective defense mechanisms.
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Video Summarization
Developing scalable video summarization methods that handle structured dependencies in long and complex videos with minimum/no supervision.
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