6 citations · 14 across the 6 of their papers we have counts for
7 papers
DocTr: Document Transformer for Structured Information Extraction in Documents
Haofu Liao, Aruni RoyChowdhury, Weijian Li +6
We present a new formulation for structured information extraction (SIE) from visually rich documents. It aims to address the limitations of existing IOB tagging or graph-based for…
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement
Xin Liu, Yuting Zhang, Zitong Yu +3
Remote photoplethysmography (rPPG) is an important technique for perceiving human vital signs, which has received extensive attention. For a long time, researchers have focused on…
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation
Jiang Liu, Hui Ding, Zhaowei Cai +4
In this work, instead of directly predicting the pixel-level segmentation masks, the problem of referring image segmentation is formulated as sequential polygon generation, and the…
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Yihe Tang, Weifeng Chen, Yijun Luo +1
We propose a semi-supervised approach for contemporary object detectors following the teacher-student dual model framework. Our method is featured with 1) the exponential moving av…
Dynamically Grown Generative Adversarial Networks
Lanlan Liu, Yuting Zhang, Jia Deng +1
Recent work introduced progressive network growing as a promising way to ease the training for large GANs, but the model design and architecture-growing strategy still remain under…
Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries
Qi Dong, Zhuowen Tu, Haofu Liao +3
Computer vision applications such as visual relationship detection and human object interaction can be formulated as a composite (structured) set detection problem in which both th…
Visual Question Answering on Image Sets
Ankan Bansal, Yuting Zhang, Rama Chellappa
We introduce the task of Image-Set Visual Question Answering (ISVQA), which generalizes the commonly studied single-image VQA problem to multi-image settings. Taking a natural lang…