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Raghav Goyal
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2020 – today
- 2024
- [i8]Nitesh Bharadwaj Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar M. Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal:
Extending Video Masked Autoencoders to 128 frames. CoRR abs/2411.13683 (2024) - 2023
- [c8]Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran:
Relational Space-Time Query in Long-Form Videos. CVPR 2023: 6398-6408 - [i7]Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran:
MINOTAUR: Multi-task Video Grounding From Multimodal Queries. CoRR abs/2302.08063 (2023) - [i6]Raghav Goyal, Wan-Cyuan Fan, Mennatullah Siam, Leonid Sigal:
M3T: Multi-Scale Memory Matching for Video Object Segmentation and Tracking. CoRR abs/2312.08514 (2023) - 2022
- [c7]Ismoil Odinaev, Kunnipa Prae-Arporn, Kwan Long Wong, Jing Wei Chin, Tsz Tai Chan, Raghav Goyal, Richard Hau Yue So:
Camera-based heart rate variability and stress measurement from facial videos. CHASE 2022: 168-169 - [i5]Peyman Bateni, Jarred Barber, Raghav Goyal, Vaden Masrani, Jan-Willem van de Meent, Leonid Sigal, Frank Wood:
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning. CoRR abs/2201.05151 (2022) - 2021
- [c6]Raghav Goyal, Leonid Sigal:
A Simple Baseline for Weakly-Supervised Human-centric Relation Detection. BMVC 2021: 293 - [c5]Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal:
UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation. CVPR 2021: 5951-5961 - 2020
- [c4]Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal:
Improved Few-Shot Visual Classification. CVPR 2020: 14481-14490 - [i4]Shubham Agarwal
, Raghav Goyal:
Ensemble based discriminative models for Visual Dialog Challenge 2018. CoRR abs/2001.05865 (2020) - [i3]Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal:
Weakly-supervised Any-shot Object Detection. CoRR abs/2006.07502 (2020)
2010 – 2019
- 2019
- [i2]Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal:
Improved Few-Shot Visual Classification. CoRR abs/1912.03432 (2019) - 2018
- [c3]Raghav Goyal, Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, Ingo Bax, Roland Memisevic:
Evaluating visual "common sense" using fine-grained classification and captioning tasks. ICLR (Workshop) 2018 - 2017
- [c2]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:
The "Something Something" Video Database for Learning and Evaluating Visual Common Sense. ICCV 2017: 5843-5851 - [i1]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:
The "something something" video database for learning and evaluating visual common sense. CoRR abs/1706.04261 (2017) - 2016
- [c1]Raghav Goyal, Marc Dymetman, Éric Gaussier:
Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge. COLING 2016: 1083-1092
Coauthor Index
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