5 citations · 6 across the 5 of their papers we have counts for
5 papers
Breaking the Synthetic-Real Domain Shortcut for Training-Free Generative Replay-based Class Incremental Learning
Tao Zhang, Qixuan Fan, Yiyuan Liang +7
Class-incremental learning (CIL) requires models to continuously acquire new knowledge while avoiding catastrophic forgetting. While exemplar replay is effective, it raises concern…
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes
Yiyuan Liang, Zhiying Yan, Liqun Chen +4
Vision-centric autonomous driving systems require diverse data for robust training and evaluation, which can be augmented by manipulating object positions and appearances within ex…
Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem
Qiwen Zhu, Yanjie Wang, Shilv Cai +5
Training Single-Image Super-Resolution (SISR) models using pixel-based regression losses can achieve high distortion metrics scores (e.g., PSNR and SSIM), but often results in blur…
Powerful Lossy Compression for Noisy Images
Shilv Cai, Xiaoguo Liang, Shuning Cao +4
Image compression and denoising represent fundamental challenges in image processing with many real-world applications. To address practical demands, current solutions can be categ…
A Grammatical Compositional Model for Video Action Detection
Zhijun Zhang, Xu Zou, Jiahuan Zhou +2
Analysis of human actions in videos demands understanding complex human dynamics, as well as the interaction between actors and context. However, these interaction relationships us…