CVPR is one of the main conferences which provide researchers and engineers with the opportunity to meet and discuss their amazing work. This year, with CVPR and other conferences going virtual, we take the opportunity to recognize our academic and Inception industry partners’ work at CVPR 2020 through this post.
Here’s one paper from UC Berkeley researchers: While machine learning at the edge is not a very common trend at CVPR, we could imagine many ways in which edge computing can take on an increasingly important role in this new digital world. One such way is through the creation of more immersive experiences through AR and VR which require heavy on-device processing. If you’re looking for ways to extract every bit of performance out of your GPU for on-device or edge computing, we highly recommend this talk and paper by BAIR, UC Berkeley.
The authors present a neural network quantization algorithm which heavily reduces memory and speed requirements for computer vision tasks, while leveraging mixed precision and multiple GPUs.
Take a look at these inspiring research projects presented by NVIDIA Academic partners at CVPR 2020.
In addition to the papers featured above, several professors are giving invited talks at one or more of the CVPR workshops. For example, Prof. Andreas Geiger (MPI-IS) is giving several invited talks on his research including his work on 3D representation learning at the 3D Scene Understanding for Vision, Graphics, and Robotics workshop. To learn more about Prof. Geiger’s work, you may visit his website.
In the AI startup ecosystem, NVIDIA Inception Premier member Malong technologies has had two papers accepted to this year’s conference. This includes Cross Batch Memory for Embedding Learning (accepted as an oral), and Deformable Siamese Attention Networks for Visual Object Tracking.
Malong has also recently released ThermalNet – an AI powered hazard screen system for COVID-19 leveraging NVIDIA Jetson TX2 and Clara Guardian to identify social distancing and elevated body temperatures.
For more about the CVPR 2020 papers, talks, workshops, and featured projects that NVIDIA research is participating in, visit our CVPR event site.
