33 citations · 68 across the 11 of their papers we have counts for
21 papers
CoPEM: Cooperative Perception Error Models for Autonomous Driving
Andrea Piazzoni, Jim Cherian, Roshan Vijay +2
In this paper, we introduce the notion of Cooperative Perception Error Models (coPEMs) towards achieving an effective and efficient integration of V2X solutions within a virtual te…
TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting
Haihan Tang, Yi Wang, Lap-Pui Chau
In this paper, we propose a three-stream adaptive fusion network named TAFNet, which uses paired RGB and thermal images for crowd counting. Specifically, TAFNet is divided into one…
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan, Wenhan Yang +3
To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many. Previous works based on the pixel-wise r…
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang, Haoliang Li, Lap-pui Chau +1
Though convolutional neural networks are widely used in different tasks, lack of generalization capability in the absence of sufficient and representative data is one of the challe…
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack
Alexander Matyasko, Lap-Pui Chau
State-of-the-art deep neural networks are sensitive to small input perturbations. Since the discovery of this intriguing vulnerability, many defence methods have been proposed that…
Multi-object Tracking with Tracked Object Bounding Box Association
Nanyang Yang, Yi Wang, Lap-Pui Chau
The CenterTrack tracking algorithm achieves state-of-the-art tracking performance using a simple detection model and single-frame spatial offsets to localize objects and predict th…