Fitzgibbon, Andrew

1. Creatures great and SMAL: Recovering the shape and motion of animals from video
   2018/11/14 by Biggs, Benjamin, Roddick, Thomas, Fitzgibbon, Andrew +1 · 12 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
2. Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
   2023/10/06 by Beaini, Dominique, Huang, Shenyang, Cunha, Joao Alex +32 · 9 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. FLAG: Flow-based 3D Avatar Generation from Sparse Observations
   2022/03/11 by Sadegh Aliakbarian, Pashmina Cameron, Aliakbarian, Sadegh +7 · 5 citations
   Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Human Motion and Animation #Human Pose and Action Recognition #Machine Learning (cs.LG)
4. On the Two-View Geometry of Unsynchronized Cameras
   2017/04/22 by Albl, Cenek, Kukelova, Zuzana, Fitzgibbon, Andrew +3 · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
5. Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading
   2017/08/04 by Liu-Yin, Qi, Yu, Rui, Agapito, Lourdes +2 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
6. Hashing Modulo Alpha-Equivalence
   2021/05/06 by Krzysztof Maziarz, Maziarz, Krzysztof, T. M. R. Ellis +7 · 2 citations
   Computer Science · #Advanced Malware Detection Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Programming Languages (cs.PL) #Software Engineering Research #Software Testing and Debugging Techniques
7. Hybrid VAE: Improving Deep Generative Models using Partial Observations
   2017/11/30 by Sergey Tulyakov, Tulyakov, Sergey, Andrew Fitzgibbon +3 · 3 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Machine Learning in Healthcare
8. MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning
   2024/04/23 by Kläser, Kerstin, Banaszewski, Błażej, Maddrell-Mander, Samuel +5 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Scalify: scale propagation for efficient low-precision LLM training
   2024/07/24 by Balança, Paul, Hosegood, Sam, Luschi, Carlo +1 · 2 citations
   #68T07 #FOS: Computer and information sciences #I.2.7 #Machine Learning (cs.LG)