9 citations · 27 across the 10 of their papers we have counts for
10 papers
Diversity-aware Channel Pruning for StyleGAN Compression
Jiwoo Chung, Sangeek Hyun, Sang-Heon Shim +1
StyleGAN has shown remarkable performance in unconditional image generation. However, its high computational cost poses a significant challenge for practical applications. Although…
VLCounter: Text-aware Visual Representation for Zero-Shot Object Counting
Seunggu Kang, WonJun Moon, Euiyeon Kim +1
Zero-Shot Object Counting (ZSOC) aims to count referred instances of arbitrary classes in a query image without human-annotated exemplars. To deal with ZSOC, preceding studies prop…
Noise-free Optimization in Early Training Steps for Image Super-Resolution
MinKyu Lee, Jae-Pil Heo
Recent deep-learning-based single image super-resolution (SISR) methods have shown impressive performance whereas typical methods train their networks by minimizing the pixel-wise…
Self-Feedback DETR for Temporal Action Detection
Jihwan Kim, Miso Lee, Jae-Pil Heo
Temporal Action Detection (TAD) is challenging but fundamental for real-world video applications. Recently, DETR-based models have been devised for TAD but have not performed well…
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification
SuBeen Lee, WonJun Moon, Hyun Seok Seong +1
The difficulty of the fine-grained image classification mainly comes from a shared overall appearance across classes. Thus, recognizing discriminative details, such as eyes and bea…
Leveraging Hidden Positives for Unsupervised Semantic Segmentation
Hyun Seok Seong, WonJun Moon, SuBeen Lee +1
Dramatic demand for manpower to label pixel-level annotations triggered the advent of unsupervised semantic segmentation. Although the recent work employing the vision transformer…