9 citations · 24 across the 15 of their papers we have counts for
16 papers
Order Matters: Competition-Guided Query Ordering for RNN-Based Object Detection
Shengjian Wu, Li Sun, Yu Shangguan +1
DETR-style detectors use one-to-one bipartite matching during training to assign object queries to ground-truth objects, enabling end-to-end set prediction without non-maximum supp…
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model
Siwei Xia, Li Sun, Tiantian Sun +1
Drag-based editing within pretrained diffusion model provides a precise and flexible way to manipulate foreground objects. Traditional methods optimize the input feature obtained f…
RefineStyle: Dynamic Convolution Refinement for StyleGAN
Siwei Xia, Xueqi Hu, Li Sun +1
In StyleGAN, convolution kernels are shaped by both static parameters shared across images and dynamic modulation factors specific to each image. Therefore, $…
OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer
Shengjian Wu, Li Sun, Qingli Li
DEtection TRansformer (DETR) becomes a dominant paradigm, mainly due to its common architecture with high accuracy and no post-processing. However, DETR suffers from unstable train…
RecursiveDet: End-to-End Region-based Recursive Object Detection
Jing Zhao, Li Sun, Qingli Li
End-to-end region-based object detectors like Sparse R-CNN usually have multiple cascade bounding box decoding stages, which refine the current predictions according to their previ…
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels
Siyuan Li, Li Sun, Qingli Li
Pre-trained vision-language models like CLIP have recently shown superior performances on various downstream tasks, including image classification and segmentation. However, in fin…