Achuta Kadambi

Assistant Professor of Electrical Engineering and Computer Science (EECS)
University of California, Los Angeles
Email: achuta [at]
Vitae: PDF

Leader, Visual Machines Group
Lead PI, A2I2 Program (UCLA Team)

Visual Diversity

Real world scenes have diverse visual appearance. Such diversity stems from the fundamental physics in how light interacts with matter, across different weather conditions, object types, and even people. These appearance variations mesmerize human beings, but puzzle artificial vision systems, which cannot generalize to such diversity. To overcome this problem, my lab studies the physics of appearance and how we can design artificial vision systems with invariance to physical effects, like weather or skin type. Applications include autonomous systems that generalize to bad weather and medical devices that work on a wide range of skin types.

Selected Papers

This website is typically updated once/year, while my lab webpage is updated more frequently. Please refer to the Visual Machines webpage.

Computational Imaging

Joint Textbook with A. Bhandari, A. Kadambi, and R. Raskar
[ Accepted to MIT Press as a Textbook, Forthcoming 2020 ]

CVPR 2020 Tutorial on Visual Physics

With Katerina Fragkiadaki, Laura Waller, Bill Freeman, and Ayan Chakrabarti
[ CVPR 2020 Tutorial ]

Polarized Non-Line-of-Sight Imaging

K. Tanaka, Y. Mukaigawa, and A. Kadambi
[ IEEE CVPR 2020 ]

Deep Polarization Cues for Transparent Object Segmentation

A. Kalra, V Taamazyan, SK Rao, K Venkataraman, R Raskar, and A. Kadambi
[ IEEE CVPR 2020 (Oral) ]

Thermal Non-line-of-Sight Imaging

T. Maeda, Y. Wang, R. Raskar, and A. Kadambi
[ IEEE ICCP 2019 ]

Time-resolved Far Infrared Light Transport Decomposition for Thermal Photometric Stereo

K. Tanaka, N. Ikeya, T. Takatani, H. Kubo, T. Funatomi, V. Ravi, A. Kadambi and Y. Mukaigawa
[ IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 ]

Dynamic Heterodyne Interferometry

T. Maeda, A. Kadambi, Y. Schechner and R. Raskar
[ IEEE ICCP 2018 ]
Best Paper Award

Rethinking Machine Vision Time of Flight with GHz Heterodyning

A. Kadambi, R. Raskar
[ IEEE Access 2017 ]

Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time of Flight

A. Kadambi, J. Schiel, R. Raskar
[ IEEE CVPR 2016 (Oral 3% acceptance) ]

Occluded Imaging with Time of Flight Sensors

A. Kadambi, H. Zhao, B. Shi, R. Raskar
[ ACM Transactions on Graphics (pres SIGGRAPH 2016) ]

Polarized 3D: Enhanced 3D sensing fusing depth and polarization cues

A. Kadambi, V. Taamazyan, B. Shi, R. Raskar
[ IEEE ICCV 2015 (Oral 3% acceptance) ]
Best Papers Special Issue

Computational Time of Flight

Joint Tutorial Course with A. Bhandari, M. Gupta, A. Kadambi, R. Raskar.
[ IEEE ICCV 2015 ]

A Light Transport Model for Mitigating Multipath Interference in TOF Sensors

N. Naik, A. Kadambi, C. Rhemann, S. Izadi, R. Raskar, S.B. Kang
[ IEEE CVPR 2015 ]

Resolving multi-path interference in time-of-flight imaging via modulation frequency diversity and sparse regularization

A. Bhandari, A. Kadambi, R. Whyte, C. Barsi, M. Feigin, A. Dorrington, R. Raskar.
[ OSA Optics Letters 2014 ]

Coded Aperture, Compressive 3D LIDAR

A. Kadambi, P. Boufounos
[ IEEE ICASSP 2015 ]

Demultiplexing Illumination via Low Cost Sensing and Nanosecond Coding

A. Kadambi, A. Bhandari, R. Whyte, A. Dorrington, R. Raskar
[ IEEE ICCP 2014 ]

Coded time of flight cameras: sparse deconvolution to address multipath interference and recover time profiles

A. Kadambi, R. Whyte, A. Bhandari, L. Streeter, C. Barsi, A. Dorrington, R. Raskar
[ ACM Transactions on Graphics (pres SIGGRAPH Asia 2013) ]
Selected for Qualcomm Innovation Fellowship