Vivek Rathod

According to our database, Vivek Rathod authored at least 18 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Ultra-Wideband Microwave Imaging System for Root Phenotyping.

Xiaodong Shi, Jiaoyang Li, Saptarshi Mukherjee, Srijan Datta, Vivek Rathod, Xinyu Wang, Wei Lu, Lalita Udpa, Yiming Deng

Sensors, 2022

Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features.

Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, David A. Ross

CoRR, 2022

The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift.

Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

The surprising impact of mask-head architecture on novel class segmentation.

Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A Review of Acoustic Impedance Matching Techniques for Piezoelectric Sensors and Transducers.

Vivek Rathod

Sensors, 2020

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes.

Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

RetinaTrack: Online Single Stage Joint Detection and Tracking.

Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection.

Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Long Term Temporal Context for Per-Camera Object Detection.

Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang

CoRR, 2019

2018

Pooling Pyramid Network for Object Detection.

Pengchong Jin, Vivek Rathod, Xiangxin Zhu

CoRR, 2018

2017

Semantic Instance Segmentation via Deep Metric Learning.

Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy

CoRR, 2017

Deep Metric Learning via Facility Location.

Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors.

Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Learnable Structured Clustering Framework for Deep Metric Learning.

Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy

CoRR, 2016

2015

Bayesian dark knowledge.

Anoop Korattikara Balan, Vivek Rathod, Kevin P. Murphy, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.

Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Im2Calories: Towards an Automated Mobile Vision Food Diary.

Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2013

QuantMiner for mining quantitative association rules.

Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet, Xiangrong Kong, Vivek Rathod, Daniel Cassard

J. Mach. Learn. Res., 2013