Raghav Goyal

According to our database, Raghav Goyal authored at least 13 papers between 2016 and 2023.

Collaborative distances:

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

2023

M3T: Multi-Scale Memory Matching for Video Object Segmentation and Tracking.

Raghav Goyal, Wan-Cyuan Fan, Mennatullah Siam, Leonid Sigal

CoRR, 2023

MINOTAUR: Multi-task Video Grounding From Multimodal Queries.

Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran

CoRR, 2023

Relational Space-Time Query in Long-Form Videos.

Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning.

Peyman Bateni, Jarred Barber, Raghav Goyal, Vaden Masrani, Jan-Willem van de Meent, Leonid Sigal, Frank Wood

CoRR, 2022

Camera-based heart rate variability and stress measurement from facial videos.

Ismoil Odinaev, Kunnipa Prae-Arporn, Kwan Long Wong, Jing Wei Chin, Tsz Tai Chan, Raghav Goyal, Richard Hau Yue So

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

2021

UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation.

Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Simple Baseline for Weakly-Supervised Human-centric Relation Detection.

Raghav Goyal, Leonid Sigal

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Weakly-supervised Any-shot Object Detection.

Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal

CoRR, 2020

Ensemble based discriminative models for Visual Dialog Challenge 2018.

Shubham Agarwal, Raghav Goyal

CoRR, 2020

Improved Few-Shot Visual Classification.

Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal

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

2018

Evaluating visual "common sense" using fine-grained classification and captioning tasks.

Raghav Goyal, Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, Ingo Bax, Roland Memisevic

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

The "Something Something" Video Database for Learning and Evaluating Visual Common Sense.

Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fründ, Peter Yianilos, Moritz Mueller-Freitag, Florian Hoppe, Christian Thurau, Ingo Bax, Roland Memisevic

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge.

Raghav Goyal, Marc Dymetman, Éric Gaussier

Proceedings of the COLING 2016, 2016