4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 4 cited
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
Dingkang Liang, Jiahao Xie, Zhikang Zou +3
Supervised crowd counting relies heavily on costly manual labeling, which is difficult and expensive, especially in dense scenes. To alleviate the problem, we propose a novel unsup…
cs.CV2023★ 1 cited
Super-Resolution Information Enhancement For Crowd Counting
Jiahao Xie, Wei Xu, Dingkang Liang +5
Crowd counting is a challenging task due to the heavy occlusions, scales, and density variations. Existing methods handle these challenges effectively while ignoring low-resolution…
cs.CV2022★ 1 cited
Controllable Image Captioning via Prompting
Ning Wang, Jiahao Xie, Jihao Wu +2
Despite the remarkable progress of image captioning, existing captioners typically lack the controllable capability to generate desired image captions, e.g., describing the image i…