4 citations · 6 across the 4 of their papers we have counts for
4 papers
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search
Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng +2
Achieving a balance between accuracy and efficiency is a critical challenge in facial landmark detection (FLD). This paper introduces Parallel Optimal Position Search (POPoS), a hi…
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception
Xiang Huang, Zhi-Qi Cheng, Jun-Yan He +3
The advancement of autonomous driving systems hinges on the ability to achieve low-latency and high-accuracy perception. To address this critical need, this paper introduces Dynami…
LongShortNet: Exploring Temporal and Semantic Features Fusion in Streaming Perception
Chenyang Li, Zhi-Qi Cheng, Jun-Yan He +6
Streaming perception is a critical task in autonomous driving that requires balancing the latency and accuracy of the autopilot system. However, current methods for streaming perce…
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting
Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai +3
Tremendous variation in the scale of people/head size is a critical problem for crowd counting. To improve the scale invariance of feature representation, recent works extensively…