3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 3 cited
Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline
Lichen Zhao, Daigang Cai, Jing Zhang +6
Recently, 3D vision-and-language tasks have attracted increasing research interest. Compared to other vision-and-language tasks, the 3D visual question answering (VQA) task is less…
cs.CV2022★ 2 cited
Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark of Data, Model, and Supervision
Yufeng Cui, Lichen Zhao, Feng Liang +2
Contrastive Language-Image Pretraining (CLIP) has emerged as a novel paradigm to learn visual models from language supervision. While researchers continue to push the frontier of C…