|
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.
   
Scholar
|
News
2024
- Feb 2024: 4 papers accepted at CVPR 2024.
- Feb 2024: We will host the GPU-based DL Acceleration tutorial at CVPR 2024.
- Jan 2024: 2 papers accepted at ICLR 2024 on efficient and robust large models.
2023
- July 2023: 6 new papers accepted at ICCV 2023
- April: We will be organizing a tutorial at ICCV, Paris, France 2023. Stay tunned.
- Learning with Noisy and Unlabeled Data for Large Models beyond Categorization.
- March: 2 new papers accepted at IV 2023
- Shen et al. Hardware-Aware Latency Pruning for Real-Time 3D Object Detection.
- Clemons et al. Leaf: Legacy Networks for Flexible Inference.
2022
- Sept. 2022: 1 paper accepted at BMVC 2022.
- Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks
- September 2022: 2 papers accepted at NeurIPS 2022
- July 2022: 1 paper accepted at ECCV 2022.
- April 2022: Our paper on Robustness in Transformers has been accepted at ICML 2022
- March 2022: 7 new papers accepted at CVPR 2022
2021 - Older News
- Dec 2021: Presenting 2 papers at NeurIPS 2021:
- October 2021: Presenting our active learning paper at ICCV 2021
- 1 new paper accepted at ICML 2021
- 2 new papers accepted at ICLR 2021
- 1 new paper accepted at ICCV 2021
- 3 new papers accepted at CVPR 2021
- 1 new paper accepted at WACV 2021
- 1 new paper accepted at IEEE-IV 2021
- 2 new papers accepted at IEEE CVPR 2020
- 1 new paper accepted at IEEE-IV 2020
- 1 new paper accepted at NeurIPS 2020
- 1 new paper accepted at WACV 2020
- 1 new paper accepted at ICLR 2020
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
- SegFormer Ranked 3 in NeurIPS 2021 Top-10 Influential Papers.
- 2020 Outstanding research for "ErfNet: Efficient Residual Factorized ConvNEt for Real-Time Semantic Segmentaiton".
- Road Detection based on Illuminance-Invariance awarded: 2010-2019 Top Ten Research Papers
- Best Paper award for Efficient ConvNet for Real-time Semantic Segmentation at IV 2017
- Outstanding Reviewer Awards at ICCV 2021
- Awarded 2019 Top Reviewers at NeurIPS 2019
- Outstanding Reviewer Awards at CVPR 2017
- Best Paper Award for Exploiting Sparsity for Real Time Video Labelling, at CVPR workshop on Computer Vision for Vehicle Technology 2013
- Best Poster Award for Synchronization of video sequences from free-moving cameras, at IbPria 2007
- Ramon y Cajal Fellowship, Spain, 2016
- ERC - Fellow Grant, 2011
- Extraordinary Doctorate award, Barcelona, Spain, 2010-2011
- Best PhD award 2010, Barcelona, Spain
Relevant Workshop Organization
|