Each user's software automatically detects the minimum amount of buffering necessary to preserve acceptable audio quality on the current network connection. Instead, the system uses a special audio algorithm to conceal lost packets, while the exact latency is independently optimized at each client based on packet loss history. 61672523).ICap dynamically reaches the lowest possible latency for a given network connection by maintaining strict real-time transport, meaning it does not fall behind over time by attempting to retransmit lost packets. This project was supported by the National Natural Science Foundation of China (No.

Aozhu Chen, Xinyi Huang, Hailan Lin, Xirong Li, Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning, ACM MMAsia 2020.

Zhengxiong Jia, Xirong Li, iCap: Interactive Image Captioning with Predictive Text, ACM ICMR 2020.

Xirong Li, Chaoxi Xu, Xiaoxu Wang, Weiyu Lan, Zhengxiong Jia, Gang Yang, Jieping Xu, COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval, IEEE Transactions on Multimedia, Volume 21, Number 9, pages 2347-2360, 2019.Weiyu Lan, Xirong Li, Jianfeng Dong, Fluency-Guided Cross-Lingual Image Captioning, ACM MM 2017.

Qijie Wei, Xiaoxu Wang, Xirong Li, Harvesting Deep Models for Cross-Lingual Image Annotation, CBMI 2017.Xirong Li, Weiyu Lan, Jianfeng Dong, Hailong Liu, Adding Chinese Captions to Images, ACM ICMR 2016.Ruc_imcap: generate Chinese captions for novel images using one script Publications Rejection sampling and weighted loss are comparable to Without fluency which learns from the full set of machine-translated sentences. Fluent-cap: Fluency-guided image captioningĪutomated evaluation of five approaches to cross-lingual image captioning.We are developing novel algorithms that enable learning an image captioning model for a target language other than English, with minimal labeling effort.

The study of cross-lingual image captioning is essential for a large population on the planet who cannot speak English. However, the application of image captioning should not be restricted by language. Image captioning has so far been explored mostly in English, as most available datasets are in this language.

Icap captioning