activity
20202025
most citedSCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

35 citations · 44 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025★ 3 cited

SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer

Wenxi Li, Yuchen Guo, Jilai Zheng +4

Recent years have seen an increase in the use of gigapixel-level image and video capture systems and benchmarks with high-resolution wide (HRW) shots. However, unlike close-up shot…

cs.CV2023★ 2 cited

SingingHead: A Large-scale 4D Dataset for Singing Head Animation

Sijing Wu, Yunhao Li, Weitian Zhang +5

Singing, as a common facial movement second only to talking, can be regarded as a universal language across ethnicities and cultures, plays an important role in emotional communica…

cs.CV2023★ 1 cited

Directional Texture Editing for 3D Models

Shengqi Liu, Zhuo Chen, Jingnan Gao +4

Texture editing is a crucial task in 3D modeling that allows users to automatically manipulate the surface materials of 3D models. However, the inherent complexity of 3D models and…

cs.CV2023

HyperStyle3D: Text-Guided 3D Portrait Stylization via Hypernetworks

Zhuo Chen, Xudong Xu, Yichao Yan +5

Portrait stylization is a long-standing task enabling extensive applications. Although 2D-based methods have made great progress in recent years, real-world applications such as me…

cs.CV2022★ 3 cited

Self-supervised Character-to-Character Distillation for Text Recognition

Tongkun Guan, Wei Shen, Xue Yang +3

When handling complicated text images (e.g., irregular structures, low resolution, heavy occlusion, and uneven illumination), existing supervised text recognition methods are data-…

cs.CV2020★ 35 cited

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

Xue Yang, Junchi Yan, Wenlong Liao +3

Small and cluttered objects are common in real-world which are challenging for detection. The difficulty is further pronounced when the objects are rotated, as traditional detector…