Matthew Gwilliam

36 papers A* 3A 6Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory. CoRR Vatsal Agarwal, Saksham Suri, Matthew Gwilliam, Pulkit Kumar, Abhinav Shrivastava
2026	J	`jnl`	Implicit Neural Representation Facilitates Unified Universal Vision Encoding. CoRR Matthew Gwilliam, Xiao Wang, Xuefeng Hu, Zhenheng Yang
2026	J	`jnl`	TeCoNeRV: Leveraging Temporal Coherence for Compressible Neural Representations for Videos. CoRR Namitha Padmanabhan, Matthew Gwilliam, Abhinav Shrivastava
2026	J	`jnl`	Towards Understanding Best Practices for Quantization of Vision-Language Models. CoRR Gautom Das, Vincent La, Ethan Lau, Abhinav Shrivastava, Matthew Gwilliam
2025	A	`conf`	A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. WACV Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran
2025	J	`jnl`	Accelerate High-Quality Diffusion Models with Inner Loop Feedback. CoRR Matthew Gwilliam, Han Cai, Di Wu, Abhinav Shrivastava, Zhiyu Cheng
2025	J	`jnl`	AgentComp: From Agentic Reasoning to Compositional Mastery in Text-to-Image Models. CoRR Arman Zarei, Jiacheng Pan, Matthew Gwilliam, Soheil Feizi, Zhenheng Yang
2025	J	`jnl`	Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model. CoRR Anirud Aggarwal, Abhinav Shrivastava, Matthew Gwilliam
2025	J	`jnl`	How to Design and Train Your Implicit Neural Representation for Video Compression. CoRR Matthew Gwilliam, Roy Zhang, Namitha Padmanabhan, Hongyang Du, Abhinav Shrivastava
2025	J	`jnl`	Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor. CoRR Vatsal Agarwal, Matthew Gwilliam, Gefen Kohavi, Eshan Verma, Daniel Ulbricht, Abhinav Shrivastava
2025	J	`jnl`	Utilization of Neighbor Information for Image Classification with Different Levels of Supervision. CoRR Gihan Jayatilaka, Abhinav Shrivastava, Matthew Gwilliam
2024	—	`conf`	Do Text-Free Diffusion Models Learn Discriminative Visual Representations? ECCV (60) Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Jun Ohya, Abhinav Shrivastava
2024	A	`conf`	Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition. WACV Connor Anderson, Matthew Gwilliam, Evelyn Gaskin, Ryan Farrell
2024	A*	`conf`	Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions. CVPR Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
2024	J	`jnl`	Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions. CoRR Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
2024	—	`conf`	Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. ECCV (15) Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava
2024	J	`jnl`	Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. CoRR Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava
2024	J	`jnl`	NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields. CoRR Eric Zhu, Mara Levy, Matthew Gwilliam, Abhinav Shrivastava
2024	—	`conf`	Quantifying NBA Shot Quality: A Deep Network Approach. MMSports@MM Archit Ramanasai Kambhamettu, Abhinav Shrivastava, Matthew Gwilliam
2023	J	`jnl`	A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. CoRR Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran
2023	J	`jnl`	Diffusion Models Beat GANs on Image Classification. CoRR Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Srinidhi Hegde, Tianyi Zhou, Abhinav Shrivastava
2023	J	`jnl`	Do text-free diffusion models learn discriminative visual representations? CoRR Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Abhinav Shrivastava
2023	A*	`conf`	HNeRV: A Hybrid Neural Representation for Videos. CVPR Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
2023	J	`jnl`	HNeRV: A Hybrid Neural Representation for Videos. CoRR Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
2022	A*	`conf`	Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. CVPR Matthew Gwilliam, Abhinav Shrivastava
2022	J	`jnl`	Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. CoRR Matthew Gwilliam, Abhinav Shrivastava
2022	A	`conf`	CNeRV: Content-adaptive Neural Representation for Visual Data. BMVC Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
2022	J	`jnl`	CNeRV: Content-adaptive Neural Representation for Visual Data. CoRR Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
2021	A	`conf`	Fair Comparison: Quantifying Variance in Results for Fine-grained Visual Categorization. WACV Matthew Gwilliam, Adam Teuscher, Connor Anderson, Ryan Farrell
2021	J	`jnl`	Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization. CoRR Matthew Gwilliam, Adam Teuscher, Connor Anderson, Ryan Farrell
2021	A	`conf`	Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. EACL Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam
2021	J	`jnl`	Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. CoRR Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam
2021	—	`conf`	Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets. ICCVW Matthew Gwilliam, Srinidhi Hegde, Lade Tinubu, Alex Hanson
2021	J	`jnl`	Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets. CoRR Matthew Gwilliam, Srinidhi Hegde, Lade Tinubu, Alex Hanson
2020	J	`jnl`	Facing the Hard Problems in FGVC. CoRR Connor Anderson, Matthew Gwilliam, Adam Teuscher, Andrew Merrill, Ryan Farrell
2020	A	`conf`	Intelligent Image Collection: Building the Optimal Dataset. WACV Matthew Gwilliam, Ryan Farrell