1,306 results on '"Alan L. Yuille"'
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2. iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning.
3. SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference.
4. IG Captioner: Information Gain Captioners Are Strong Zero-Shot Classifiers.
5. DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data.
6. ViTamin: Designing Scalable Vision Models in the Vision-Language Era.
7. Structure-Aware Sparse-View X-Ray 3D Reconstruction.
8. De-Diffusion Makes Text a Strong Cross-Modal Interface.
9. Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-Modal Language Models.
10. Sequential Modeling Enables Scalable Learning for Large Vision Models.
11. A Bayesian Approach to OOD Robustness in Image Classification.
12. Masked Autoencoders are Secretly Efficient Learners.
13. Towards Generalizable Tumor Synthesis.
14. NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results.
15. Benchmarking Robustness in Neural Radiance Fields.
16. NOVUM: Neural Object Volumes for Robust Object Classification.
17. A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties.
18. Radiative Gaussian Splatting for Efficient X-Ray Novel View Synthesis.
19. Embracing Massive Medical Data.
20. From Pixel to Cancer: Cellular Automata in Computed Tomography.
21. Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?
22. Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts.
23. Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models.
24. HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction.
25. Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis.
26. Learning Part Segmentation from Synthetic Animals.
27. Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data.
28. OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.
29. Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding.
30. Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images.
31. Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data.
32. 3D genomic mapping reveals multifocality of human pancreatic precancers.
33. Rejuvenating image-GPT as Strong Visual Representation Learners.
34. Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search.
35. Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation.
36. How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
37. Generating Images with 3D Annotations Using Diffusion Models.
38. Causal Image Modeling for Efficient Visual Understanding.
39. From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation.
40. Analyzing Tumors by Synthesis.
41. ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning.
42. AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking.
43. CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model.
44. Unleashing the Power of Visual Prompting At the Pixel Level.
45. A Simple Video Segmenter by Tracking Objects Along Axial Trajectories.
46. FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning.
47. Autoregressive Pretraining with Mamba in Vision.
48. LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression.
49. ImageNet3D: Towards General-Purpose Object-Level 3D Understanding.
50. Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering.
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