Week Ending 6.20.2021
RESEARCH WATCH: 6.20.2021
This week was active for "Computer Science", with 1,424 new papers.
The paper discussed most in the news over the past week was "Barbershop: GAN-based Image Compositing using Segmentation Masks" by Peihao Zhu et al (Jun 2021), which was referenced 14 times, including in the article This AI Prevents Bad Hair Days in Zephyrnet.com.
Leading researcher Yoshua Bengio (Université de Montréal) came out with "Predicting Unreliable Predictions by Shattering a Neural Network".
This week was extremely active for "Computer Science - Artificial Intelligence", with 277 new papers.
The paper discussed most in the news over the past week was "A Survey of Transformers" by Tianyang Lin et al (Jun 2021), which was referenced 7 times, including in the article A Comprehensive Guide To Transformers in Analytics India Magazine.
Leading researcher Yoshua Bengio (Université de Montréal) came out with "Predicting Unreliable Predictions by Shattering a Neural Network".
This week was very active for "Computer Science - Computer Vision and Pattern Recognition", with 340 new papers.
The paper discussed most in the news over the past week was "Barbershop: GAN-based Image Compositing using Segmentation Masks" by Peihao Zhu et al (Jun 2021)
Leading researcher Pieter Abbeel (University of California, Berkeley) published "Unsupervised Learning of Visual 3D Keypoints for Control".
Over the past week, 25 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was by a team at Stanford University: "Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data" by Hao Sheng et al (May 2021), which was referenced 1 time, including in the article Study estimates the prevalence of CCTV cameras in large cities worldwide in Tech Xplore. The paper author, Hao Sheng (Stanford University), was quoted saying "Our method combines the merits of computer vision models (which can be quickly deployed on millions of images) and humans (who can visually identify cameras with higher accuracy)".
This week was active for "Computer Science - Human-Computer Interaction", with 32 new papers.
The paper discussed most in the news over the past week was "WaveGlove: Transformer-based hand gesture recognition using multiple inertial sensors" by Matej Králik et al (May 2021), which was referenced 2 times, including in the article WaveGlove: A glove with five inertial sensors for hand gesture recognition in Tech Xplore.
This week was extremely active for "Computer Science - Learning", with 614 new papers.
The paper discussed most in the news over the past week was "A Survey of Transformers" by Tianyang Lin et al (Jun 2021)
Leading researcher Yoshua Bengio (Université de Montréal) published "Predicting Unreliable Predictions by Shattering a Neural Network".
Over the past week, 15 new papers were published in "Computer Science - Multiagent Systems".
Over the past week, 25 new papers were published in "Computer Science - Neural and Evolutionary Computing".
This week was very active for "Computer Science - Robotics", with 71 new papers.
The paper discussed most in the news over the past week was "Traversing Steep and Granular Martian Analog Slopes With a Dynamic Quadrupedal Robot" by Hendrik Kolvenbach et al (Jun 2021), which was referenced 12 times, including in the article How Do You Make a Robot Walk on Mars? It's a Steep Challenge in Wired News. The paper author, Hendrik Kolvenbach, was quoted saying "We wanted to show that these dynamically working systems nowadays, they can actually walk on the Martian sand".
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "Unsupervised Learning of Visual 3D Keypoints for Control".