About Mengmeng Xu (Frost) Mengmeng Xu (Frost) Ph.D., Electrical and Computer Engineering Computer Vision Deep learning Video Understanding Mengmeng Xu (Frost) was an Electrical and Computer Engineering PhD Student in the Image and Video Understanding Lab (IVUL) Group at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Bernard Ghanem. He is currently continuing his Ph.D. Education and Early Career Mengmeng obtained his bachelor's degree in Optics and Optical Sciences from Zhejiang University in China in 2017 and his Master's Degree from KAUST under the supervision of Professor Bernard Ghanem. Research Interests He is mainly focusing on problems that arise in computer vision, including Articles Related News June 2021 IVUL paper Wins Best Poster award at CVPR Workshop 1 min read · Mon, Jun 21 2021 News Computer Vision Deep learning artificial intelligence A paper by IVUL members won a Best Poster award at the LatinX in Computer Vision Workshop at CVPR 2021, the world-renowned venue for research in Computer Vision. The paper, "BAOD: Budget-Aware Object Detection", was written by four IVUL members, Alejandro Pardo, Mengmeng Frost Xu, Ali K. Thabet, and Bernard Ghanem, in collaboration with Professor Pablo Arbeláez, from Universidad de los Andes. The paper studies the efficiency with which object-detection systems learn when constrained by limited budgets. We congratulate the authors! Seven IVUL members recognized as Outstanding Reviewers by CVPR 2021 1 min read · Sun, Jun 13 2021 News Computer Vision Pattern Recognition artificial intelligence The 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) has granted Outstanding Reviewer awards to seven members of IVUL: Alejandro Pardo, Ali Thabet, Chen Zhao, Mattia Soldan, Mengmeng Xu, Juan C. Pérez, and Silvio Giancola. CVPR, a premier annual computer vision event that will take place virtually from June 19th to June 25th, is the largest computer vision conference in the world, gathering researchers from academia and industry alike. The peer-review process through which the conference determines acceptance of papers relies on expert reviewers from across the world
IVUL paper Wins Best Poster award at CVPR Workshop 1 min read · Mon, Jun 21 2021 News Computer Vision Deep learning artificial intelligence A paper by IVUL members won a Best Poster award at the LatinX in Computer Vision Workshop at CVPR 2021, the world-renowned venue for research in Computer Vision. The paper, "BAOD: Budget-Aware Object Detection", was written by four IVUL members, Alejandro Pardo, Mengmeng Frost Xu, Ali K. Thabet, and Bernard Ghanem, in collaboration with Professor Pablo Arbeláez, from Universidad de los Andes. The paper studies the efficiency with which object-detection systems learn when constrained by limited budgets. We congratulate the authors!
Seven IVUL members recognized as Outstanding Reviewers by CVPR 2021 1 min read · Sun, Jun 13 2021 News Computer Vision Pattern Recognition artificial intelligence The 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) has granted Outstanding Reviewer awards to seven members of IVUL: Alejandro Pardo, Ali Thabet, Chen Zhao, Mattia Soldan, Mengmeng Xu, Juan C. Pérez, and Silvio Giancola. CVPR, a premier annual computer vision event that will take place virtually from June 19th to June 25th, is the largest computer vision conference in the world, gathering researchers from academia and industry alike. The peer-review process through which the conference determines acceptance of papers relies on expert reviewers from across the world
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