249 results on '"Bohyung Han"'
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2. Observation-Guided Diffusion Probabilistic Models.
3. Relaxed Contrastive Learning for Federated Learning.
4. Robust Image Denoising Through Adversarial Frequency Mixup.
5. Communication-Efficient Federated Learning with Accelerated Client Gradient.
6. Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice.
7. Cross-Class Feature Augmentation for Class Incremental Learning.
8. Randomized Adversarial Style Perturbations for Domain Generalization.
9. An Optimized Ensemble Framework for Multi-Label Classification on Long-Tailed Chest X-ray Data.
10. Open-Set Representation Learning through Combinatorial Embedding.
11. Variational Distribution Learning for Unsupervised Text-to-Image Generation.
12. Multi-Modal Representation Learning with Text-Driven Soft Masks.
13. On the Stability-Plasticity Dilemma of Class-Incremental Learning.
14. Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition.
15. Knowledge-based Visual Context-Aware Framework for Applications in Robotic Services.
16. Pooling Revisited: Your Receptive Field is Suboptimal.
17. InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering.
18. Self-Supervised Dense Consistency Regularization for Image-to-Image Translation.
19. Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation.
20. Unsupervised Learning of Debiased Representations with Pseudo-Attributes.
21. Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking.
22. Learning Semantic Segmentation from Multiple Datasets with Label Shifts.
23. Towards Sequence-Level Training for Visual Tracking.
24. Multi-Level Branched Regularization for Federated Learning.
25. Information-Theoretic Bias Reduction via Causal View of Spurious Correlation.
26. Conditional Score Guidance for Text-Driven Image-to-Image Translation.
27. Generative Neural Fields by Mixtures of Neural Implicit Functions.
28. Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense.
29. Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform.
30. Class-Incremental Learning for Action Recognition in Videos.
31. Learning Student-Friendly Teacher Networks for Knowledge Distillation.
32. Learning Debiased and Disentangled Representations for Semantic Segmentation.
33. Exemplar-Based Open-Set Panoptic Segmentation Network.
34. CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback.
35. RaScaNet: Learning Tiny Models by Raster-Scanning Images.
36. Weakly Supervised Instance Segmentation by Deep Community Learning.
37. Local-Global Video-Text Interactions for Temporal Grounding.
38. Efficient Decoupled Neural Architecture Search by Structure And Operation Sampling.
39. Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision.
40. Traffic Accident Benchmark for Causality Recognition.
41. Learning to Optimize Domain Specific Normalization for Domain Generalization.
42. Task-Aware Quantization Network for JPEG Image Compression.
43. URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark.
44. Operation-Aware Soft Channel Pruning using Differentiable Masks.
45. Context-Aware Zero-Shot Recognition.
46. Channel Attention Is All You Need for Video Frame Interpolation.
47. Towards Oracle Knowledge Distillation with Neural Architecture Search.
48. Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning.
49. Reinforcing an Image Caption Generator Using Off-Line Human Feedback.
50. MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators.
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