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A deep active learning system for species identification and counting in camera trap images.
At CMU, I'm leveraging the inherent geometric and physical nature of our world to inform these intelligent systems.
I publish my research at premiere venues in computer science.
International Conference on Computer Vision (ICCV)
and applied research to advance knowledge on the entire spectrum of machine learning science.
Computer Vision Researcher My goal is to enable machines to understand the visual world in the same way I do.
Previously he has worked on topics related to general understanding of visual content (detection/classification), learning under limited supervision,…
My interests lie at the intersection of deep learning, computer vision and 3D geometry.
We learn from unlabeled data to manipulate the style of an image using sound.