Research trends and challenges in computer vision and natural language processing and the progression to commercialization.

Shumian Xin and Prof. Ioannis Gkioulekas shared the details on the impressive results found from their recent research project.

Zhengqi Li presented his project during the CVPR poster session. His paper won the Best Paper Honorable Mention at the conference.

New research progress from Feifei Li's Stanford group and Shanghai Jiaotong University

Alexander Toshev, a Research Scientist at Google Robotics, shared key applications of the workshop he hosted at the 2019 CVPR conference.

Torsten Sattler, Associate Professor at Chalmers University of Technology, shared key applications of his tutorial and his takeaways.

Yong Jae Lee, Assistant Professor of Computer Science at UC Davis and Demo Chair at CVPR2019, shared key applications of his researches.

Patrick Liu, a deep learning enthusiast attended CVPR 2019 and attended a diverse collection of workshops and tutorials, including Vision fo

Timo Sämann shared key applications of the workshop he hosted at the conference and discussed the importance of safe AI.

German Ros discussed the CARLA autonomous driving challenge that he co-organized and the gap between the industry and academic research.

Mei Han shared her thoughts on the growth of CVPR and computer vision, her career path and vision for AI research in Ping An Technology.

Matteo Poggi shared key applications of his tutorial, challenges he currently faces and the difference between research in the US and Italy.

BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames

Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Dr. Ji Liu shared his research experience in deep learning and as an assistant professor and Director at Kuaishou AI Labs

Normalized Object Coordinate Space for Category-Level 6D Object Post and Size Estimation

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Dr. Le Lu shared his insights on modern medical imaging, his work at PAII Inc. and the future of deep learning in medical research.

EarthVision developed by Dynamic Graphics, offers software for 3D model building, analysis, and visualization, with precise 3D models.

Dr. Hua shared inspiring thoughts on the trends and challenges of computer vision and the future of Artificial Intelligence.