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1. Olympus: A Universal Task Router for Computer Vision Tasks

2. MALT: Improving Reasoning with Multi-Agent LLM Training

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3. Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap

4. Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

5. Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge

6. EVCL: Elastic Variational Continual Learning with Weight Consolidation

7. Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator

8. DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion

9. DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications

10. Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator

11. Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction

13. TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering

14. Waypoint Planning Networks

15. End-to-End Egospheric Spatial Memory

16. Ivy: Templated Deep Learning for Inter-Framework Portability

17. Unsupervised Path Regression Networks

18. Orientation Keypoints for 6D Human Pose Estimation

19. LaDDer: Latent Data Distribution Modelling with a Generative Prior

20. Scalable Uncertainty for Computer Vision with Functional Variational Inference

21. PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization

22. Noncompliance

24. DeepFactors: Real-Time Probabilistic Dense Monocular SLAM

25. Balancing Reconstruction Quality and Regularisation in ELBO for VAEs

26. Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

27. X-Section: Cross-Section Prediction for Enhanced RGBD Fusion

28. WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding

29. LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo

30. InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

31. Fusion++: Volumetric Object-Level SLAM

32. CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM

33. DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

34. 3D Object Reconstruction from a Single Depth View with Adversarial Learning

35. Highly Luminescent Bulk Quantum Materials Based on Zero-Dimensional Organic Tin Halide Perovskites

36. VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

37. Mapping of corrosion sites in advanced gas-cooled reactor fuel cladding in long term pond storage

39. VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

40. Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data

41. Visual-inertial odometry, mapping and re-localization through learning

48. An analysis of research designs in the <italic>Journal of Organizational Behavior Management</italic> (2000–2022)

49. An evaluation of training components necessary to teach staff members to conduct an intensive pediatric feeding intervention.