Mohit Gupta
Research Scientist, Columbia University
Interests: Computer Vision, Computational Imaging
Email: mohitg@cs.columbia.edu
[CV]

Research Statement: My objective is to build computer vision systems that solve real-world problems and work robustly "in the wild". I believe that vision systems perform the best when their two components - image acquisition and image interpretation (inference) - work together. Based on the two components, my research has two themes:

The goal is to design each component while being aware of the other, so that they function synergistically. My work has applications in autonomous transportation, 3D imaging for factory automation, consumer imaging, digital cultural heritage, robotic surgery, performance capture and human-computer interfaces.


Research Highlights (click on thumbnails for details)

Mohit Gupta, Shree Nayar, Matthias Hullin and Jaime Martin
Summary: Time-of-flight (ToF) based 3D imaging in scenes with multipath interference (interreflections) and scattering (e.g., smoke and fog). Frequency domain analysis of transient light transport. Applications in autonomous transportation, 3D mapping and robotic automation.
Mohit Gupta, Qi Yin and Shree Nayar
Summary: Outdoor 3D scanning in strong ambient illumination with a limited power-budget. Applications in autonomous transportation, outdoor robotics and urban mapping.
Mohit Gupta and Shree Nayar
Summary: 3D scanning of optically challenging scenes, such as with translucent materials (e.g., marble, human skin) and concave objects. Applications in digital cultural heritage and performance capture, factory automation and indoor mapping.
Mohit Gupta, A. Agrawal, A. Veeraraghavan and Srinivasa Narasimhan
Summary: Structured light 3D scanning for scenes with concave geometries (e.g., indoor spaces, concave machine parts) and nearly transparent objects (e.g., thin plastic films).
Shree Nayar and Mohit Gupta
Summary: High resolution 3D scanning for specular materials (e.g., metallic machine parts), intricate geometries (e.g., finger-prints) and objects with sharp depth discontinuities.
Mohit Gupta, Yuandong Tian, Srinivasa Narasimhan and Li Zhang
Summary: Computational model for light propagation in scenes with complex light transport effects such as defocus, scattering and interreflections. Applications in scene understanding (estimating depth and material properties of scenes).
Mohit Gupta, Daisuke Iso and Shree Nayar
Summary: High dynamic range imaging for moving scenes and cameras by capturing images with Fibonacci sequence exposures. Applications in consumer imaging.
Yasunobu Hitomi, Jinwei Gu, Mohit Gupta, Tomoo Mitsunaga and Shree Nayar
Summary: High speed compressive imaging (up to 1000 fps) using a conventional 30 fps camera, an LCoS (liquid crystal on silicon) light modulator and large scale dictionary learning. Applications in consumer and scientific imaging.
Mohit Gupta, A. Agrawal, A. Veeraraghavan and Srinivasa Narasimhan
Summary: Post capture control of spatial resolution and frame-rate of videos, depending on the scene content. Applications in consumer imaging, scientific imaging and microscopy.
Oliver Cossairt, Mohit Gupta and Shree Nayar
Summary: Performance analysis of computational imaging techniques such as defocus and motion deblurring and light field capture. Practical guidelines for imaging system design.
Mohit Gupta, Srinivasa Narasimhan and Yoav Schechner
Summary: Seeing clearer and farther in scattering media using active illumination and polarization. Applications in underwater imaging, autonomous transportation and medical imaging.
Mohit Gupta and Srinivasa Narasimhan
Summary: Reduced space framework for fast simulation and rendering of scattering media such as smoke and fog. Applications in gaming, special effects and virtual reality.
Srinivasa Narasimhan, Mohit Gupta, C. Donner, R. Ramamoorthi, Shree Nayar and H.W. Jensen
Summary: Imaging and illumination setup for measuring scattering properties of liquids. Applications in computer graphics rendering and ocean monitoring.