Shenzhen Based RoboSense is the Next DJI for LIDAR

One of the hottest AI topics these days is self-driving cars. According to the recent Boston Consulting Group study, self-driving cars will account for 25% of new car sales by the year 2035, with the market for partially and fully autonomous vehicles hitting a staggering US$77 billion. RoboSense is positioning itself to capitalize on this […]

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AutoX Wants to Put a Self-driving Car in Your Driveway in Two Years

Chinese AI talent in US – founder of AutoX Jianxiong Xiao Today’s self-driving cars are rolling tech showrooms — perceiving their environments through LIDAR (Light Imaging, Detection and Ranging), radar, GPS/IMU, passive visual, and ultrasonic proximity sensors. But a top LIDAR unit alone can cost in the tens of thousands of dollars, pricing the vehicles […]

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A Brief Review of FlowNet

Overview Convolutional neural networks (CNNs) have made great contributions to various computer vision tasks. Recently, CNNs have been successfully used in estimating optical flow. Compared with traditional methods, these methods achieved a large improvement in quality. Here, we will give a brief review on the following papers. Both FlowNet1.0 and FlowNet2.0 are end-to-end architectures. FlowNet2.0 […]

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CVPR2017 Honorable Mention Paper – Annotating Object Instances with a Polygon-RNN

Deep Learning dominates Computer Vision. We are all in this trend. Since AlexNet suddenly swept the competition by at least 10 percent than all other competitors in ILSVRC2012, Deep Learning never stops its pace outperforming in Image- and Video-related tasks. With years of developments, current algorithms are fairly advanced: various delicate models, fancy learning paradigms, […]

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Deep Learning in Real Time – Inference Acceleration and Continuous Training

Introduction Deep learning is revolutionizing many areas of computer vision and natural language processing (NLP), infusing into increasingly more consumer and industrial products intelligence capabilities with the potential to impact the everyday experience of people and the standard processes of industry practices. On a high level, deep learning, similar to any automated system based on […]

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30 Years of Devotion to Natural Language Processing Based on Concepts

Recently jiqizhixin.com interviewed Mr. Qiang Dong, chief scientist of Beijing YuZhi Language Understanding Technology Co. Ltd. Dong gave a detailed presentation of their NLP technology and demoed their YuZhi NLU platform. With HowNet, a well-known common-sense knowledge base as its basic resources, YuZhi NLU Platform conducts its unique semantic analysis based on concepts rather than […]

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CVPR 2017: The Fusion of Deep Learning and Computer Vision, What’s Next?

The 2017 Conference on Computer Vision and Pattern Recognition (CVPR) was hosted from July 21st to July 26th in Honolulu, Hawaii. This year’s conference accepted 783 papers out of 2,620 valid submissions, which included 215 long and short presentations and 3 parallel tracks. The conference attracted 127 sponsors with $859,000 in sponsorship funds, and close […]

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