no code implementations • 20 Dec 2022 • Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, David A. Ross
Detecting actions in untrimmed videos should not be limited to a small, closed set of classes.
no code implementations • CVPR 2022 • Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang
We introduce baseline results on our dataset across modalities as well as metrics for the detailed analysis of generalization with respect to geographic distribution shifts, vital for such a system to be deployed at-scale.
3 code implementations • ICCV 2021 • Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang
Under this family, we study Mask R-CNN and discover that instead of its default strategy of training the mask-head with a combination of proposals and groundtruth boxes, training the mask-head with only groundtruth boxes dramatically improves its performance on novel classes.
no code implementations • CVPR 2020 • Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas Funkhouser, Caroline Pantofaru, David Ross, Larry S. Davis, Alireza Fathi
In contrast, we propose a general-purpose method that works on both indoor and outdoor scenes.
1 code implementation • CVPR 2020 • Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang
Traditionally multi-object tracking and object detection are performed using separate systems with most prior works focusing exclusively on one of these aspects over the other.
Ranked #1 on Multiple Object Tracking on Waymo Open Dataset
3 code implementations • CVPR 2020 • Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang
In this paper we propose a method that leverages temporal context from the unlabeled frames of a novel camera to improve performance at that camera.
2 code implementations • 9 Jul 2018 • Pengchong Jin, Vivek Rathod, Xiangxin Zhu
We share box predictors across all scales, and replace convolution between scales with max pooling.
1 code implementation • 30 Mar 2017 • Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy
We propose a new method for semantic instance segmentation, by first computing how likely two pixels are to belong to the same object, and then by grouping similar pixels together.
1 code implementation • CVPR 2017 • Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
Learning the representation and the similarity metric in an end-to-end fashion with deep networks have demonstrated outstanding results for clustering and retrieval.
14 code implementations • CVPR 2017 • Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang song, Sergio Guadarrama, Kevin Murphy
On the opposite end in which accuracy is critical, we present a detector that achieves state-of-the-art performance measured on the COCO detection task.
Ranked #221 on Object Detection on COCO test-dev
no code implementations • ICCV 2015 • Austin Meyers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin P. Murphy
We present a system which can recognize the contents of your meal from a single image, and then predict its nutritional contents, such as calories.
1 code implementation • NeurIPS 2015 • Anoop Korattikara, Vivek Rathod, Kevin Murphy, Max Welling
We consider the problem of Bayesian parameter estimation for deep neural networks, which is important in problem settings where we may have little data, and/ or where we need accurate posterior predictive densities, e. g., for applications involving bandits or active learning.
1 code implementation • 5 Mar 2015 • Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy
We present a novel method for aligning a sequence of instructions to a video of someone carrying out a task.