no code implementations • 30 Dec 2023 • S P Sharan, Francesco Pittaluga, Vijay Kumar B G, Manmohan Chandraker
Although planning is a crucial component of the autonomous driving stack, researchers have yet to develop robust planning algorithms that are capable of safely handling the diverse range of possible driving scenarios.
no code implementations • ICCV 2023 • Samuel Schulter, Vijay Kumar B G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris Metaxas
With more than 28K unique object descriptions on over 25K images, OmniLabel provides a challenging benchmark with diverse and complex object descriptions in a naturally open-vocabulary setting.
no code implementations • ICCV 2021 • Vijay Kumar B G, Jeyasri Subramanian, Varnith Chordia, Eugene Bart, Shaobo Fang, Kelly Guan, Raja Bala
Finally, the new text is transferred from the reference to remaining frames using a novel learned image transformation network that captures lighting and blur effects in a temporally consistent manner.
no code implementations • ECCV 2018 • Trung Pham, Vijay Kumar B G, Thanh-Toan Do, Gustavo Carneiro, Ian Reid
In this paper, we present a novel open-set semantic instance segmentation approach capable of segmenting all known and unknown object classes in images, based on the output of an object detector trained on known object classes.
no code implementations • ICCV 2017 • Ben Harwood, Vijay Kumar B G, Gustavo Carneiro, Ian Reid, Tom Drummond
In this paper, we propose a novel deep metric learning method that combines the triplet model and the global structure of the embedding space.
no code implementations • ICCV 2017 • S. Hamid Rezatofighi, Vijay Kumar B G, Anton Milan, Ehsan Abbasnejad, Anthony Dick, Ian Reid
This paper addresses the task of set prediction using deep learning.
2 code implementations • CVPR 2016 • Vijay Kumar B G, Gustavo Carneiro, Ian Reid
Current results from machine learning show that replacing this siamese by a triplet network can improve the classification accuracy in several problems, but this has yet to be demonstrated for local image descriptor learning.