6 citations · 7 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…
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.…
WeakSupCon: Weakly Supervised Contrastive Learning for Encoder Pre-training
Bodong Zhang, Hamid Manoochehri, Xiwen Li +2
Weakly supervised multiple instance learning (MIL) is a challenging task given that only bag-level labels are provided, while each bag typically contains multiple instances. This t…
Joint Audio-Visual Idling Vehicle Detection with Streamlined Input Dependencies
Xiwen Li, Rehman Mohammed, Tristalee Mangin +4
Idling vehicle detection (IVD) can be helpful in monitoring and reducing unnecessary idling and can be integrated into real-time systems to address the resulting pollution and harm…
Real-Time Idling Vehicles Detection using Combined Audio-Visual Deep Learning
Xiwen Li, Tristalee Mangin, Surojit Saha +7
Combustion vehicle emissions contribute to poor air quality and release greenhouse gases into the atmosphere, and vehicle pollution has been associated with numerous adverse health…
How to Accelerate Capsule Convolutions in Capsule Networks
Zhenhua Chen, Xiwen Li, Qian Lou +1
How to improve the efficiency of routing procedures in CapsNets has been studied a lot. However, the efficiency of capsule convolutions has largely been neglected. Capsule convolut…
P-CapsNets: a General Form of Convolutional Neural Networks
Zhenhua Chen, Xiwen Li, Chuhua Wang +1
We propose Pure CapsNets (P-CapsNets) which is a generation of normal CNNs structurally. Specifically, we make three modifications to current CapsNets. First, we remove routing pro…