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UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene Jiaming Gu
Neural Radiance Field (NeRF) is an implicit 3D reconstruction method that has shown immense potential and has gained significant attention for its ability to reconstruct 3D scenes solely from a set of photographs.
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
Fine-tuning pre-trained models is a popular approach in machine learning for solving complex tasks with moderate data.
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
In this work, we study the low-rank MDPs with adversarially changed losses in the full-information feedback setting.
realSEUDO for real-time calcium imaging analysis
One challenging modality for real-time processing is multi-photon calcium imaging (CI).
Deep Non-line-of-sight Imaging from Under-scanning Measurements
Moreover, the proposed method delivers impressive robustness at an extremely low scanning grid (i.e., 8
On Optimal Caching and Model Multiplexing for Large Model Inference
By combining a caching algorithm, namely Greedy Dual Size with Frequency (GDSF) or Least Expected Cost (LEC), with a model multiplexer, we achieve optimal rates in both offline and online settings.
