161 results on '"Yuan Xie"'
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2. Harmonizing Visual Text Comprehension and Generation.
3. Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification.
4. Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification.
5. Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception.
6. PIG: Prompt Images Guidance for Night-Time Scene Parsing.
7. FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping.
8. Progressive Contrastive Learning with Multi-Prototype for Unsupervised Visible-Infrared Person Re-identification.
9. GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision.
10. Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification.
11. Unraveling Complex Data Diversity in Underwater Acoustic Target Recognition through Convolution-based Mixture of Experts.
12. Gradient Projection For Parameter-Efficient Continual Learning.
13. Guiding the underwater acoustic target recognition with interpretable contrastive learning.
14. DEMOS: Dynamic Environment Motion Synthesis in 3D Scenes via Local Spherical-BEV Perception.
15. TextSquare: Scaling up Text-Centric Visual Instruction Tuning.
16. PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection.
17. Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach.
18. Recent Advances of Foundation Language Models-based Continual Learning: A Survey.
19. Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform.
20. Underwater-Art: Expanding Information Perspectives With Text Templates For Underwater Acoustic Target Recognition.
21. CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data.
22. Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation.
23. Advancing underwater acoustic target recognition via adaptive data pruning and smoothness-inducing regularization.
24. NP-Hardness of Tensor Network Contraction Ordering.
25. Learning Music Sequence Representation from Text Supervision.
26. Underwater Acoustic Target Recognition based on Smoothness-inducing Regularization and Spectrogram-based Data Augmentation.
27. High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets.
28. Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer.
29. NPS: A Framework for Accurate Program Sampling Using Graph Neural Network.
30. Generalized Category Discovery in Semantic Segmentation.
31. Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks.
32. LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment.
33. COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction.
34. SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning.
35. High-performance and Scalable Software-based NVMe Virtualization Mechanism with I/O Queues Passthrough.
36. Variational Distillation for Multi-View Learning.
37. Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud.
38. Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective.
39. Faith: An Efficient Framework for Transformer Verification on GPUs.
40. AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain Adaptation.
41. LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints.
42. Cost-Aware Exploration for Chiplet-Based Architecture with Advanced Packaging Technologies.
43. Enabling Data Movement and Computation Pipelining in Deep Learning Compiler.
44. Accelerating CPU-based Sparse General Matrix Multiplication with Binary Row Merging.
45. NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
46. A Comprehensive Survey on Distributed Training of Graph Neural Networks.
47. Survey on Graph Neural Network Acceleration: An Algorithmic Perspective.
48. Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning.
49. Multi-node Acceleration for Large-scale GCNs.
50. High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing.
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