Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Qingxing Cao"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:6375-6383
When answering a question, people often draw upon their rich world knowledge in addition to the particular context. While recent works retrieve supporting facts/evidence from commonsense knowledge bases to supply additional information to each questi
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 43:887-901
Collaborative reasoning for understanding image-question pairs is a very critical but underexplored topic in interpretable visual question answering systems. Although very recent studies have attempted to use explicit compositional processes to assem
Despite the significant success in various domains, the data-driven deep neural networks compromise the feature interpretability, lack the global reasoning capability, and can’t incorporate external information crucial for complicated real-world ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30411cbd8b2d44bf7194bdbf2d81dcdd
https://doi.org/10.3233/faia210351
https://doi.org/10.3233/faia210351
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Though beneficial for encouraging the Visual Question Answering (VQA) models to discover the underlying knowledge by exploiting the input-output correlation beyond image and text contexts, the existing knowledge VQA datasets are mostly annotated in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51145d54c8cf83a60e17ab6130561351
Publikováno v:
Knowledge-Based Systems. 235:107612
Commonsense question answering has attracted increasing attention as a challenging task requiring the human reasoning process of answering questions with the help of abundant commonsense knowledge. Existing methods mostly resort to large pre-trained
Face hallucination is a domain-specific super-resolution problem that aims to generate a high-resolution (HR) face image from a low-resolution~(LR) input. In contrast to the existing patch-wise super-resolution models that divide a face image into re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cb5b86adaab140ca4d45c9dc738c4cc
Publikováno v:
CVPR
Automatically describing open-domain videos with natural language are attracting increasing interest in the field of artificial intelligence. Most existing methods simply borrow ideas from image captioning and obtain a compact video representation fr
Publikováno v:
CVPR
The collaborative reasoning for understanding each image-question pair is very critical but under-explored for an interpretable Visual Question Answering (VQA) system. Although very recent works also tried the explicit compositional processes to asse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bcc6e6411a8616939934faaf5166b17
Publikováno v:
CVPR
Face hallucination is a domain-specific super-resolution problem with the goal to generate high-resolution (HR) faces from low-resolution (LR) input images. In contrast to existing methods that often learn a single patch-to-patch mapping from LR to H