The LatinX in Computer Vision Workshop at CVPR 2021 granted a Best Poster award to paper by IVUL members.
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!
Related Persons
PhD Student,
Electrical and Computer Engineering
PhD Student,
Electrical and Computer Engineering
Research Scientist,
Image and Video Understanding Lab