Creatures Great and SMAL: Recovering the Shape and Motion of Animals from Video. - Benjamin Biggs; Thomas Roddick; Andrew W. Fitzgibbon; Roberto Cipolla (ACCV (5), 2018)

Performance Guarantees for Receding Horizon Search with Terminal Cost. - Benjamin Biggs; Daniel J. Stilwell; Harun Yetkin; James McMahon (IROS, 2019)

Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop. - Benjamin Biggs; Oliver Boyne; James Charles; Andrew W. Fitzgibbon; Roberto Cipolla (ECCV (11), 2020)

Extended Performance Guarantees for Receding Horizon Search with Terminal Cost. - Benjamin Biggs; Daniel J. Stilwell; James McMahon (IROS, 2020)

3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. - Benjamin Biggs; David Novotný; Sébastien Ehrhardt; Hanbyul Joo; Benjamin Graham; Andrea Vedaldi (NeurIPS, 2020)

On the Road to Large-Scale 3D Monocular Scene Reconstruction using Deep Implicit Functions. - Thomas Roddick; Benjamin Biggs; Daniel Olmeda Reino; Roberto Cipolla (ICCVW, 2021)

Multi-agent Receding Horizon Search with Terminal Cost. - Benjamin Biggs; James McMahon; Philip D. Baldoni; Daniel J. Stilwell (ICRA, 2021)

Non-Submodular Maximization via the Greedy Algorithm and the Effects of Limited Information in Multi-Agent Execution. - Benjamin Biggs; James McMahon; Philip D. Baldoni; Daniel J. Stilwell (IROS, 2022)

High-level Synthesis using the Julia Language. - Benjamin Biggs; Ian McInerney; Eric C. Kerrigan; George A. Constantinides (CoRR, 2022)

Shape of You: Precise 3D shape estimations for diverse body types. - Rohan Sarkar; Achal Dave; Gerard Medioni; Benjamin Biggs (CVPR Workshops, 2023)

ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. - Benjamin Biggs; Christos-Savvas Bouganis; George A. Constantinides (FCCM, 2023)

Experiments in Underwater Feature Tracking with Performance Guarantees Using a Small AUV. - Benjamin Biggs; Hans He; James McMahon; Daniel J. Stilwell (ICRA, 2023)

Decentralized Multi-agent Exploration with Limited Inter-agent Communications. - Hans He; Alec Koppel; Amrit Singh Bedi; Daniel J. Stilwell; Mazen Farhood; Benjamin Biggs (ICRA, 2023)

FPGA Acceleration of Dynamic Neural Networks: Challenges and Advancements. - Anastasios Dimitriou; Benjamin Biggs; Jonathon S. Hare; Geoff V. Merrett (COINS, 2024)

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. - Benjamin Biggs; Arjun Seshadri; Yang Zou; Achin Jain; Aditya Golatkar; Yusheng Xie; Alessandro Achille; Ashwin Swaminathan; Stefano Soatto (ECCV (63), 2024)

Efficient Feature Mapping Using a Collaborative Team of AUVs. - Benjamin Biggs; Daniel J. Stilwell; Harun Yetkin; James McMahon (IROS, 2024)

The Amazon Nova Family of Models: Technical Report and Model Card. - Amazon AGI; Aaron Langford; Aayush Shah; Abhanshu Gupta; Abhimanyu Bhatter; Abhinav Goyal 004; Abhinav Mathur; Abhinav Mohanty; Abhishek Kumar; Abhishek Sethi; Abi Komma; Abner Pena; et al. (CoRR, 2025)