AI Technology & Industry Review
To adapt conventional deep models to real scenarios, a research work carried by a team (XPixel) from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences investigated the use of additional branches to tune imagery effects.
Parsing fine-grained temporal actions is vital in application scenarios that require an understanding of detailed and precise operations over long-term periods, such as daily activity understanding, surgical robots, human motion analysis and animal behavior analysis.
Synced Global AI Weekly June 23th
In a new paper accepted at CVPR 2019, researchers from the Max Planck Institute for Intelligent Systems introduce a unique 4D (moving 3D images) face dataset and its learned model VOCA — Voice Operated Character Animation.
The 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) kicked off today in Long Beach, California. CVPR is one of the world’s top three academic conferences in the field of computer vision (along with ICCV and ECCV).
Alphabet’s autonomous driving unit Waymo surprised many by releasing a new high-quality multimodal sensor dataset for autonomous driving. The *Waymo Open Dataset *was introduced at top AI conference Computer Vision and Pattern Recognition (CVPR) 2019 in Long Beach, California.
Synced Global AI Weekly June 16th
In a new paper accepted at CVPR 2019, researchers from the Max Planck Institute for Intelligent Systems introduce RingNet, an end-to-end trainable network which learns to compute 3D face shape from a single face image without 3D supervision.
At the recent NVIDIA GPU Technology Conference (GTC) 2019, Synced reported on a ‘magical brush’ app that could transform simple line drawings and sketches into realistic landscapes.
“CityFlow,” a city-scale traffic camera dataset paper from NVIDIA researchers, has been accepted by CVPR 2019 as an Oral Session, earning two “Strong Accepts” and one “Accept” from reviewers.
Synced Global AI Weekly March 10th
The Conference on Computer Vision and Pattern Recognition (CVPR) is one of the world’s top computer vision (CV) conferences. CVPR 2019 runs June 15 through June 21 in Long Beach, California, and the list of accepted papers for the prestigious gathering has now been released.
Microsoft Research Asia and University of Science and Technology of China have jointly released a new human pose estimation model which has set records on three COCO benchmarks.
The Conference on Computer Vision and Pattern Recognition (CVPR) announced this week they have accepted 1300 research papers for CVPR 2019, which will be held June 16 – 20 in Long Beach, California. This year’s submission and acceptance totals both set records for the world’s premier computer vision conference, which had never before accepted more than 1000 papers.