3 citations · 3 across the 8 of their papers we have counts for
9 papers
Bottlenecked semantic compression by representation reconstruction
Xiaoya Tang, Shilong Liu, Daniel Smolyak +3
Vision Transformers incur high computational costs when processing long visual token sequences. Existing reduction methods typically rank tokens independently and discard those dee…
Towards Accurate and Robust Surveillance Roadside IVD via Trackletized Audio-Visual Reasoning
Xiwen Li, Xiaoya Tang, Bodong Zhang +1
Idling Vehicle Detection (IVD) seeks to determine, at the final frame of a video clip, whether any vehicle is idling, meaning the vehicle is stationary with its engine running, usi…
Weakly Supervised Contrastive Learning for Histopathology Patch Embeddings
Bodong Zhang, Xiwen Li, Hamid Manoochehri +4
Digital histopathology whole slide images (WSIs) provide gigapixel-scale high-resolution images that are highly useful for disease diagnosis. However, digital histopathology image…
How to Build Robust, Scalable Models for GSV-Based Indicators in Neighborhood Research
Xiaoya Tang, Xiaohe Yue, Heran Mane +3
A substantial body of health research demonstrates a strong link between neighborhood environments and health outcomes. Recently, there has been increasing interest in leveraging a…
DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer
Xiaoya Tang, Bodong Zhang, Man Minh Ho +2
Despite the widespread adoption of transformers in medical applications, the exploration of multi-scale learning through transformers remains limited, while hierarchical representa…
HAVT-IVD: Heterogeneity-Aware Cross-Modal Network for Audio-Visual Surveillance: Idling Vehicles Detection With Multichannel Audio and Multiscale Visual Cues
Xiwen Li, Xiaoya Tang, Tolga Tasdizen
Idling vehicle detection (IVD) uses surveillance video and multichannel audio to localize and classify vehicles in the last frame as moving, idling, or engine-off in pick-up zones.…
Hierarchical Transformer for Electrocardiogram Diagnosis
Xiaoya Tang, Jake Berquist, Benjamin A. Steinberg +1
We propose a hierarchical Transformer for ECG analysis that combines depth-wise convolutions, multi-scale feature aggregation via a CLS token, and an attention-gated module to lear…
DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention
Xiaoya Tang, Bodong Zhang, Beatrice S. Knudsen +1
We here propose a novel hierarchical transformer model that adeptly integrates the feature extraction capabilities of Convolutional Neural Networks (CNNs) with the advanced represe…
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
Lixing Xiao, Ruixiao Shi, Xiaoyang Tang +1
Previous works on object detection have achieved high accuracy in closed-set scenarios, but their performance in open-world scenarios is not satisfactory. One of the challenging op…