3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Cycle-Consistency Learning for Captioning and Grounding
Ning Wang, Jiajun Deng, Mingbo Jia
We present that visual grounding and image captioning, which perform as two mutually inverse processes, can be bridged together for collaborative training by careful designs. By co…
cs.CV2022★ 3 cited
Efficient Image Captioning for Edge Devices
Ning Wang, Jiangrong Xie, Hang Luo +4
Recent years have witnessed the rapid progress of image captioning. However, the demands for large memory storage and heavy computational burden prevent these captioning models fro…
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…