16 citations · 20 across the 5 of their papers we have counts for
5 papers
Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
Gongjie Zhang, Jiahao Lin, Shuang Wu +5
Vectorized high-definition (HD) map is essential for autonomous driving, providing detailed and precise environmental information for advanced perception and planning. However, cur…
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement
Qing Yang, Jiachen Mao, Zuoguan Wang +1
To improve the execution speed and efficiency of neural networks in embedded systems, it is crucial to decrease the model size and computational complexity. In addition to conventi…
Feedback Learning for Improving the Robustness of Neural Networks
Chang Song, Zuoguan Wang, Hai Li
Recent research studies revealed that neural networks are vulnerable to adversarial attacks. State-of-the-art defensive techniques add various adversarial examples in training to i…
Joint Regularization on Activations and Weights for Efficient Neural Network Pruning
Qing Yang, Wei Wen, Zuoguan Wang +1
With the rapid scaling up of deep neural networks (DNNs), extensive research studies on network model compression such as weight pruning have been performed for improving deploymen…
Facial Feature Tracking under Varying Facial Expressions and Face Poses based on Restricted Boltzmann Machines
Yue Wu, Zuoguan Wang, Qiang Ji
Facial feature tracking is an active area in computer vision due to its relevance to many applications. It is a nontrivial task, since faces may have varying facial expressions, po…