3 citations · 7 across the 4 of their papers we have counts for
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cs.CV2023
Towards Grouping in Large Scenes with Occlusion-aware Spatio-temporal Transformers
Jinsong Zhang, Lingfeng Gu, Yu-Kun Lai +2
Group detection, especially for large-scale scenes, has many potential applications for public safety and smart cities. Existing methods fail to cope with frequent occlusions in la…
cs.CV2022★ 3 cited
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information
Tian-Xing Xu, Yuan-Chen Guo, Yu-Kun Lai +1
3D single object tracking plays an essential role in many applications, such as autonomous driving. It remains a challenging problem due to the large appearance variation and the s…
cs.CV2022★ 1 cited
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Yuanbang Liang, Jing Wu, Yu-Kun Lai +1
Despite the extensive studies on Generative Adversarial Networks (GANs), how to reliably sample high-quality images from their latent spaces remains an under-explored topic. In thi…