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1. Can We Predict Performance of Large Models across Vision-Language Tasks?

2. Temporally Grounding Instructional Diagrams in Unconstrained Videos

3. Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation

4. The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?

5. An Empirical Study Into What Matters for Calibrating Vision-Language Models

6. Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection

7. Revisiting Implicit Differentiation for Learning Problems in Optimal Control

8. 3D-GPT: Procedural 3D Modeling with Large Language Models

9. Exploring Predicate Visual Context in Detecting Human-Object Interactions

10. Scaling Data Generation in Vision-and-Language Navigation

11. Learning Navigational Visual Representations with Semantic Map Supervision

12. PMaF: Deep Declarative Layers for Principal Matrix Features

13. Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks

14. Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder

15. Combined PD-L1/TGFβ blockade allows expansion and differentiation of stem cell-like CD8 T cells in immune excluded tumors.

17. GoferBot: A Visual Guided Human-Robot Collaborative Assembly System

18. Adaptive Cross Batch Normalization for Metric Learning

19. Bi-directional Training for Composed Image Retrieval via Text Prompt Learning

20. Aligning Step-by-Step Instructional Diagrams to Video Demonstrations

21. Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths

22. 3DInAction: Understanding Human Actions in 3D Point Clouds

23. Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances

24. Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

25. Understanding and Improving the Role of Projection Head in Self-Supervised Learning

26. NeRFEditor: Differentiable Style Decomposition for Full 3D Scene Editing

27. High-Fidelity Guided Image Synthesis with Latent Diffusion Models

29. Learning to Structure an Image with Few Colors and Beyond

30. Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation

31. On the Strong Correlation Between Model Invariance and Generalization

32. Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation

33. Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies

34. Phase 2 of extracellular RNA communication consortium charts next-generation approaches for extracellular RNA research

35. Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer

36. A Regularized Wasserstein Framework for Graph Kernels

37. Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

38. DiGS : Divergence guided shape implicit neural representation for unoriented point clouds

39. What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?

41. Hamilton transversals in random Latin squares

42. Semantics for Robotic Mapping, Perception and Interaction: A Survey

43. Fine-grained Classification via Categorical Memory Networks

44. Spatially Conditioned Graphs for Detecting Human-Object Interactions

45. Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

46. A Recurrent Vision-and-Language BERT for Navigation

47. Rethinking conditional GAN training: An approach using geometrically structured latent manifolds

48. Language and Visual Entity Relationship Graph for Agent Navigation

49. DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video

50. Conditional Generative Modeling via Learning the Latent Space

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