404 citations
- University of Illinois ChicagoUS7 papers
- Carnegie Mellon UniversityUS3 papers
- Singapore Management UniversitySG3 papers
- University of California San DiegoUS3 papers
- University of WashingtonUS3 papers
- Beihang UniversityCN2 papers
- Chinese University of Hong KongHK2 papers
- Nanyang Technological UniversitySG2 papers
- Princeton UniversityUS2 papers
- Rutgers, The State University of New JerseyUS2 papers
- Stanford UniversityUS2 papers
- University of California, BerkeleyUS2 papers
4 papers · 1 filter
Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks
Le Xue, Mingfei Gao, Zeyuan Chen +2
We propose a novel framework to evaluate the robustness of transformer-based form field extraction methods via form attacks. We introduce 14 novel form transformations to evaluate…
Adaptive Task Sampling for Meta-Learning
Chenghao Liu, Zhihao Wang, Doyen Sahoo +3
Meta-learning methods have been extensively studied and applied in computer vision, especially for few-shot classification tasks. The key idea of meta-learning for few-shot classif…
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling
Jun Wang, Shiyi Lan, Mingfei Gao +1
Real-time 3D object detection is crucial for autonomous cars. Achieving promising performance with high efficiency, voxel-based approaches have received considerable attention. How…
Towards Noise-resistant Object Detection with Noisy Annotations
Junnan Li, Caiming Xiong, Richard Socher +1
Training deep object detectors requires significant amount of human-annotated images with accurate object labels and bounding box coordinates, which are extremely expensive to acqu…