Perception for Autonomous Vehicles

Nvidia

Jose M. Alvarez

Jose M. Alvarez

I lead the autonomous vechicle perception research group at Nvidia, CA, USA. The group focuses on scaling up deep learning for AV, spaning efficient and data-centric deep learning, 3D computer vision, and Self-Supervised Learning.

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Interns (2022)

  • David Wang – PhD, Tsinghua Univ.
  • Shixing Yu – PhD, Univ. Texas Austin
  • Yanwei Li – PhD, CUHK
  • Zhiqi Li – PhD, Nanjing Univ.
  • Zetong Yang – PhD, CUHK
  • Tzofi Klinghoffer – PhD, MIT
  • Bingyin Zhao – PhD, Clemson Univ.
  • Annamarie Bair – PhD, CMU
  • Yilun Chen – PhD, CUHK
  • Alex Sun – MS, Stanford
  • Justin Hsu – BS, Stanford
  • Arnav Joshi – BS, Stanford
  • Shubhranshu Sigh – MS, CMU

Interns (2021)

  • Jiayu Yang – PhD, Australian National University
  • Marc Finzi – PhD, NYU
  • Enze Xie – PhD, HKU
  • Ryan Humble – PhD, Stanford
  • Vlad Sobal – PhD, NYU
  • Jianna Liu – BS, MIT
  • Xinlong Wang – PhD, Univ. Adelaide
  • Daquan Zhou – PhD, NUS
  • Faith Johnson – PhD, Rutgers
  • Javier Sagastuy Brena – PhD, Stanford
  • Joshua Chen – MS, CMU (now Nvidia)
  • Nithya Attaluri – BS, MIT
  • Jessica Lee – MS, CMU

Interns (2020)

  • Jiwoong Choi PhD, Seoul Nat. University (now NVIDIA)
  • Ismail Elezi PhD TUM (now PostDoc TUM)
  • Shuxuan Guo - PhD. EPFL
  • Marvin Kim – MS CMU (now Waymo)
  • Lilian Luong – BS MIT
  • Cynthia Liu – MS, MIT (now Cerebras)
  • Nadine Chang – PhD CMU
  • Yerlan Idelbayav – PhD UC Merced (now Amazon)
  • Xinnan Du – MS CMU (now Goldman Sachs)
  • Hoang Vu Nguyen – PhD Stony Brooks Univ.

Interns (2019)

  • Maying Shen – MS CMU (now Nvidia)
  • Michael Zhang – BS Hardvard (now PhD Stanford)
  • Akshay Chawla – MS CMU (now Vicarious)
  • Kashyap Chitta – MS CMU (now PhD student MPI)
  • Tony Wang – BS MIT
  • Wenbo Guo – PhD Penn. State Univ.
  • Nikhil Murthy – BS MIT

Interns (2018)

  • Jiaming Zeng – PhD Stanford (now IBM Research)
  • Yousef Hindy – MS Stanford (now NewCo)
  • Kashyap Chitta – MS CMU (now PhD student MPI)

Invited Talks

  • Scaling-up Deep Learning for Autonomous Driving, MVA'19 Invited Tutorial, Tokyo, Japan
  • Scaling up Deep Learning for Autonomous Driving, ECCV 2018 workshop, Munich, Germany
  • Efficient ConvNets for Perception in Autonomous Driving, ICML'2017, Sydney, Australia
  • Efficient Deep Model Selection. GTC'17, San Jose, CA, US
  • Efficient Networks for Real Time Scene Understanding. GTCx Australia'16. Melbourne, Australia
  • Large-scale scene understanding in constrained platforms. NVIDIA RoadShow. Canberra, Australia
  • Compacting ConvNets for end to end learning. Deep Learning workshop ACRA 2015

Awards and Recognitions

Relevant Workshop Organization