220 citations · 599 across the 51 of their papers we have counts for
17 papers · 1 filter
Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head
Qian Wu, Si Yong Yeo, Yufei Chen +1
Accurate localization of cephalometric landmarks holds great importance in the fields of orthodontics and orthognathics due to its potential for automating key point labeling. In t…
Improved Factorized Neural Transducer Model For text-only Domain Adaptation
Junzhe Liu, Jianwei Yu, Xie Chen
Adapting End-to-End ASR models to out-of-domain datasets with text data is challenging. Factorized neural Transducer (FNT) aims to address this issue by introducing a separate voca…
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion
Duo Peng, Qiuhong Ke, Yinjie Lei +1
Unsupervised Domain Adaptation (UDA) is quite challenging due to the large distribution discrepancy between the source domain and the target domain. Inspired by diffusion models wh…
DISGO: Automatic End-to-End Evaluation for Scene Text OCR
Mei-Yuh Hwang, Yangyang Shi, Ankit Ramchandani +6
This paper discusses the challenges of optical character recognition (OCR) on natural scenes, which is harder than OCR on documents due to the wild content and various image backgr…
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation
Duo Peng, Ping Hu, Qiuhong Ke +1
Translating images from a source domain to a target domain for learning target models is one of the most common strategies in domain adaptive semantic segmentation (DASS). However,…
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo, Hossein Rahmani, Jun Liu
AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and other media using AI algorithms. Due to its wide range of applications and the potential of…
Distribution-Aligned Diffusion for Human Mesh Recovery
Lin Geng Foo, Jia Gong, Hossein Rahmani +1
Recovering a 3D human mesh from a single RGB image is a challenging task due to depth ambiguity and self-occlusion, resulting in a high degree of uncertainty. Meanwhile, diffusion…
A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image Restoration
Qing-Hua Zhang, Liang-Tian He, Yi-Lun Wang +2
Inspired by the fact that the matrix formulated by nonlocal similar patches in a natural image is of low rank, the rank approximation issue have been extensively investigated over…
A tera-electronvolt afterglow from a narrow jet in an extremely bright gamma-ray burst 221009A
LHAASO Collaboration
Some gamma-ray bursts (GRBs) have an afterglow in the tera-electronvolt (TeV) band, but the early onset of this afterglow has not been observed. We report observations with the Lar…
Self-compression of ultrahigh-peak-power lasers
Renjing Chen, Wenhai Liang, Yilin Xu +4
Pulse self-compression is a simple and economical method for improving the peak power of ultra-intense laser pulses. By solving a modified nonlinear Schrodinger equation considerin…
Spatiotemporal vortex strings of light
Shunlin Huang, Ning Zhang, Xu Lu +2
Light carrying orbital angular momentum (OAM) holds unique properties and boosts myriad applications in diverse fields from micro- to macro-world. Endeavors have been made to manip…
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
Tianjiao Li, Lin Geng Foo, Ping Hu +4
Learning with large-scale unlabeled data has become a powerful tool for pre-training Visual Transformers (VTs). However, prior works tend to overlook that, in real-world scenarios,…
Continual Semantic Segmentation with Automatic Memory Sample Selection
Lanyun Zhu, Tianrun Chen, Jianxiong Yin +2
Continual Semantic Segmentation (CSS) extends static semantic segmentation by incrementally introducing new classes for training. To alleviate the catastrophic forgetting issue in…
System-status-aware Adaptive Network for Online Streaming Video Understanding
Lin Geng Foo, Jia Gong, Zhipeng Fan +1
Recent years have witnessed great progress in deep neural networks for real-time applications. However, most existing works do not explicitly consider the general case where the de…
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer
Qihao Zhao, Yangyu Huang, Wei Hu +2
The recently proposed data augmentation TransMix employs attention labels to help visual transformers (ViT) achieve better robustness and performance. However, TransMix is deficien…
GradMDM: Adversarial Attack on Dynamic Networks
Jianhong Pan, Lin Geng Foo, Qichen Zheng +4
Dynamic neural networks can greatly reduce computation redundancy without compromising accuracy by adapting their structures based on the input. In this paper, we explore the robus…
Progressive Channel-Shrinking Network
Jianhong Pan, Siyuan Yang, Lin Geng Foo +4
Currently, salience-based channel pruning makes continuous breakthroughs in network compression. In the realization, the salience mechanism is used as a metric of channel salience…