Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge. - Raghav Goyal; Marc Dymetman; Éric Gaussier (COLING, 2016)

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; et al. (ICCV, 2017)

Evaluating visual "common sense" using fine-grained classification and captioning tasks. - Raghav Goyal; Farzaneh Mahdisoltani; Guillaume Berger; Waseem Gharbieh; Ingo Bax; Roland Memisevic (ICLR (Workshop), 2018)

Improved Few-Shot Visual Classification. - Peyman Bateni; Raghav Goyal; Vaden Masrani; Frank Wood; Leonid Sigal (CVPR, 2020)

Ensemble based discriminative models for Visual Dialog Challenge 2018. - Shubham Agarwal 001; Raghav Goyal (CoRR, 2020)

Weakly-supervised Any-shot Object Detection. - Siddhesh Khandelwal; Raghav Goyal; Leonid Sigal (CoRR, 2020)

A Simple Baseline for Weakly-Supervised Human-centric Relation Detection. - Raghav Goyal; Leonid Sigal (BMVC, 2021)

UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation. - Siddhesh Khandelwal; Raghav Goyal; Leonid Sigal (CVPR, 2021)

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 (CHASE, 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)

Relational Space-Time Query in Long-Form Videos. - Xitong Yang; Fu-Jen Chu; Matt Feiszli; Raghav Goyal; Lorenzo Torresani; Du Tran (CVPR, 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)

M3T: Multi-Scale Memory Matching for Video Object Segmentation and Tracking. - Raghav Goyal; Wan-Cyuan Fan; Mennatullah Siam; Leonid Sigal (CoRR, 2023)

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. - Matej Kristan; Jirí Matas; Pavel Tokmakov; Michael Felsberg; Luka Cehovin Zajc; Alan Lukezic; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; Hyung Jin Chang; Gustavo Fernández; Minasadat Attari; et al. (ECCV Workshops (7), 2024)

Extending Video Masked Autoencoders to 128 frames. - Nitesh Bharadwaj Gundavarapu; Luke Friedman; Raghav Goyal; Chaitra Hegde; Eirikur Agustsson; Sagar Waghmare; Mikhail Sirotenko; Ming-Hsuan Yang 001; Tobias Weyand; Boqing Gong; Leonid Sigal (NeurIPS, 2024)

TAM-VT: Transformation-Aware Multi-Scale Video Transformer for Segmentation and Tracking. - Raghav Goyal; Wan-Cyuan Fan; Mennatullah Siam; Leonid Sigal (WACV, 2025)

Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution. - Weiming Ren; Raghav Goyal; Zhiming Hu; Tristan Aumentado-Armstrong; Iqbal Mohomed; Alex Levinshtein (CoRR, 2025)