1 code implementation • CVPR 2023 • Liyan Chen, Weihan Wang, Philippos Mordohai
We present a new loss function for joint disparity and uncertainty estimation in deep stereo matching.
no code implementations • 28 Jun 2020 • Jialin Wu, Liyan Chen, Raymond J. Mooney
Most recent state-of-the-art Visual Question Answering (VQA) systems are opaque black boxes that are only trained to fit the answer distribution given the question and visual content.
1 code implementation • 7 Feb 2020 • Liyan Chen, Philip Gautier, Sergul Aydore
Dropout as a regularizer in deep neural networks has been less effective in convolutional layers than in fully connected layers.
no code implementations • 19 May 2019 • Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless Fowlkes
Full 3D estimation of human pose from a single image remains a challenging task despite many recent advances.
2 code implementations • EMNLP 2018 • Pouya Pezeshkpour, Liyan Chen, Sameer Singh
In this paper, we propose multimodal knowledge base embeddings (MKBE) that use different neural encoders for this variety of observed data, and combine them with existing relational models to learn embeddings of the entities and multimodal data.