80 results on '"Xuming He"'
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2. Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts.
3. Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation.
4. DiffSR: Learning Radar Reflectivity Synthesis via Diffusion Model from Satellite Observations.
5. Just say what you want: only-prompting self-rewarding online preference optimization.
6. Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery.
7. Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation.
8. CIBench: Evaluating Your LLMs with a Code Interpreter Plugin.
9. RealDex: Towards Human-like Grasping for Robotic Dexterous Hand.
10. Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training.
11. From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models.
12. SGTR+: End-to-end Scene Graph Generation with Transformer.
13. P2OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering.
14. DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation.
15. SP2OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering.
16. Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning.
17. Human-centric Scene Understanding for 3D Large-scale Scenarios.
18. Novel Class Discovery for Long-tailed Recognition.
19. SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.
20. GenEM: Physics-Informed Generative Cryo-Electron Microscopy.
21. A Physics-Informed Data-Driven Fault Location Method for Transmission Lines Using Single-Ended Measurements with Field Data Validation.
22. The Robust Semantic Segmentation UNCV2023 Challenge Results.
23. HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models.
24. Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning.
25. MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels.
26. Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation.
27. Dynamic Grained Encoder for Vision Transformers.
28. Class-relation Knowledge Distillation for Novel Class Discovery.
29. ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation.
30. Grounded Image Text Matching with Mismatched Relation Reasoning.
31. General Incremental Learning with Domain-aware Categorical Representations.
32. Learning Semantic Correspondence with Sparse Annotations.
33. FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning.
34. CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention.
35. Weakly Supervised Nuclei Segmentation via Instance Learning.
36. Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN.
37. Intention-aware Feature Propagation Network for Interactive Segmentation.
38. ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning.
39. Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition.
40. A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion.
41. Budget-aware Few-shot Learning via Graph Convolutional Network.
42. Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Expert.
43. Generative Negative Text Replay for Continual Vision-Language Pretraining.
44. Relation-aware Instance Refinement for Weakly Supervised Visual Grounding.
45. Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model.
46. GNeRF: GAN-based Neural Radiance Field without Posed Camera.
47. An EM Framework for Online Incremental Learning of Semantic Segmentation.
48. Single Image 3D Object Estimation with Primitive Graph Networks.
49. Learning Implicit Temporal Alignment for Few-shot Video Classification.
50. Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition.
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