B Ravi Kiran
Multi-modal perception, Staff Engineer, Qualcomm since Nov 2022.
- 5+ years Deep learning for Camera perception pipeline, Large scale pointcloud processing
- 12 years working on computer vision, ML/DL applications with broad exposure to different application domains
- Email : (beedotkiran AT gmail DOT com)
- LinkedIn, Twitter, Scholar
- CVs 1page, EN, FR
Experience
| Academia (7 years) | Industry (6 years) |
|---|---|
| Oct’16-Aug’17 : ATER Université Lille 3 & CRISTAL, | Nov’18-Oct’22 : ML/DL for perception Technical Lead, Navya |
| Dec’15-Nov’16 : Post-doc DATA-ENS Paris & ThalesAlenia Space, | Jan’18-Oct’18 : R&D Engineer, Autonomous Systems, AKKA Technologies |
| Nov’14-Nov’15 : Post-Doc CAOR Mines ParisTech & Helicoid | May’17-Dec’17 : Vision & deep learning consultant Uncanny Vision |
| Oct’11-Oct’14 : PhD A3SI-LIGM, Univ. Paris-Est | Aug’08-Feb’10 : Embedded Software Engineer, Texas Instruments, Bangalore, India |
Current Domains
| Computer vision/Cameras | 3D-DL/LiDARs |
|---|---|
| Deployment pipeline for realtime Object detection Joint work with Thomas Gauthier | Active learning for large scale semantic segmentation Joint work with Anh Duong, Alexandre Almin, Leo Lemarie |
| Realtime Multi-task learning architectures for Autonomous Driving Joint work with Hao Liu & Thomas Gauthier | 3D-Deep learning for Large scale segmentation pointclouds, domain adaptation & data augmentatations : For Semantic Maps Joint work with Fouad Makiyeh, Frederic Ferre, Alexandre Almin Nicole Camous ** |
| Navya Perception Datasets (N3DS & NODA) Joint work with ML team Alexandre Almin, Hao Liu, Leo Lemarie Thomas Gauthier | Simulation-to-real domain adapatation for 3D object detection in Pointclouds : to build offboard large scale 3D annotator on pointclouds Joint work with Weishuang Zhang, Thomas Gauthier, Yanis Mazouz, Theo Steger |
| SSL and geometry preserving DA for Monocular 3D object detectors pdf | LiDAR for Autonomous Driving literature survey |
- Focus on Deep/Reinforcement learning methods for Autonomous driving tasks, supervised PhD & Master's internships on the topic
- Building better understanding of perception-planning interface in AD pipeline
Recent work
- Navya3DSeg Dataset paper Feb 2023, presentation at 3D-DLAD IV Aug 2022 talk
- Point cloud representations for deep learning on Pointclouds, course presentation ENSTA Paris 2022
- Real world data augmentations for perception tasks in autonomous driving Speaker Auto.AI 2021 Berlin, Slides
- Exploring real-world reinforcement learning for Autonomous Driving Speaker Cognitive Vehicles 2019 Slides
Deep Learning for AD Workshops Series YouTube Channel
- Workshop Co-Organizer 3D-DLAD-v5 2023 workshop, IV 2023 Anchorage, Canada.
- Workshop Co-Organizer 3D-DLAD-v4 2022 workshop, IV 2022 Aachen, Germany.
- Workshop Co-Organizer 3D-DLAD 2021 workshop IV 2021 Nagoya, Japan.
- Workshop Co-Organizer CoFED-DLAD 2020 workshop ITSC 2020 Rhodes, Greece.
- Workshop Co-Organizer 2nd 3D-DLAD workshop IV 2020 Las Vegas, US.
- Workshop Co-Organizer DLAD-BP Workshop at ITSC 2019, Auckland, NewZealand.
- Workshop Co-Organizer 3D-DLAD workshop at IV 2019 Paris, France
Reviewer
Transaction-ITS 2020-22, PR & PRL 2013-21, ITSC 2016-2022, ISMM 2013-19, ML4AD 2019-2022, ICRA-AV workshop 2022, IROS 2017, TIP 2017, ICVES 2017, ICIP 2014,