Today we kick off our coverage of the 2023 CVPR conference joined by Fatih Porikli, a Senior Director of Technology at Qualcomm. In our conversation with Fatih, we covered quite a bit of ground, touching on a total of 12 papers/demos, focusing on topics like data augmentation and optimized architectures for computer vision. We explore advances in optical flow estimation networks, cross-model, and stage knowledge distillation for efficient 3D object detection, and zero-shot learning via language models for fine-grained labeling. We also discuss generative AI advancements and computer vision optimization for running large models on edge devices. Finally, we discuss objective functions, architecture design choices for neural networks, and efficiency and accuracy improvements in AI models via the techniques introduced in the papers.
Common Sense as an Algorithmic Framework with Dileep George - #430
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
Fighting Global Health Disparities with AI w/ Jon Wang - #426
Accessibility and Computer Vision - #425
NLP for Equity Investing with Frank Zhao - #424
The Future of Education and AI with Salman Khan - #423
Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422
What's Next for Fast.ai? w/ Jeremy Howard - #421
Feature Stores for MLOps with Mike del Balso - #420
Exploring Causality and Community with Suzana Ilić - #419
Decolonizing AI with Shakir Mohamed - #418
Spatial Analysis for Real-Time Video Processing with Adina Trufinescu
How Deep Learning has Revolutionized OCR with Cha Zhang - #416
Machine Learning for Food Delivery at Global Scale - #415
Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414
Visualizing Climate Impact with GANs w/ Sasha Luccioni - #413
ML-Powered Language Learning at Duolingo with Burr Settles - #412
Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411
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