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Matthew Gwilliam

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

12

Venues

5

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

12 indexed papers, newest first.

YearVenueTitleAuthors
2026WACVHow to Design and Train Your Implicit Neural Representation for Video Compression.Matthew Gwilliam, Roy Zhang, Namitha Padmanabhan, Hongyang Du, Abhinav Shrivastava
2025WACVA Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval.Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran
2024CVPRExplaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions.Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
2024ECCVLatent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics.Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava
2024ECCVDo Text-Free Diffusion Models Learn Discriminative Visual Representations?Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Jun Ohya, Abhinav Shrivastava
2024WACVElusive Images: Beyond Coarse Analysis for Fine-Grained Recognition.Connor Anderson, Matthew Gwilliam, Evelyn Gaskin, Ryan Farrell
2023CVPRHNeRV: A Hybrid Neural Representation for Videos.Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
2022BMVCCNeRV: Content-adaptive Neural Representation for Visual Data.Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
2022CVPRBeyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning.Matthew Gwilliam, Abhinav Shrivastava
2021EACLMachine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation.Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam
2021WACVFair Comparison: Quantifying Variance in Results for Fine-grained Visual Categorization.Matthew Gwilliam, Adam Teuscher, Connor Anderson, Ryan Farrell
2020WACVIntelligent Image Collection: Building the Optimal Dataset.Matthew Gwilliam, Ryan Farrell