Fatih Porikli

Fatih Porikli, Senior Director of Engineering at Qualcomm AI Research, discusses groundbreaking advancements in computer vision. Topics include a cutting-edge framework for panoptic segmentation that combines semantic and instance contexts, and novel strategies for optical flow estimation enhancing accuracy. He also delves into the IRISformer, a transformer model designed for rendering complex indoor scenes from single images. Additionally, Fatih highlights the importance of workshops and practical demos at the CVPR conference to engage and inspire future innovations.

Fatih Porikli, Senior Director of Technology at Qualcomm AI Research, dives into groundbreaking advancements in generative AI and computer vision. He discusses efficient diffusion models for text-to-image generation and real-time 360° image relighting. The conversation also highlights innovative applications like a video-language model for personalized fitness coaching and a Math Search dataset for visual reasoning. Porikli touches on practical demos at CVPR, showcasing multi-modal models and enhancing AI's capabilities for mobile and edge devices.

Fatih Porikli, Senior Director of Technology at Qualcomm AI Research, shares insights from over 30 years in computer vision. He explores cutting-edge topics such as data augmentation techniques, optimized architectures, and advances in optical flow for video analysis. The conversation delves into the use of language models for fine-grained labeling, enhancing 3D object detection, and the role of generative AI in model efficiency. Fatih also discusses training neural networks and innovative approaches to integrating various data sources for improved accuracy.