7 citations · 22 across the 12 of their papers we have counts for
12 papers
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
Han Xie, Da Zheng, Jun Ma +9
Model pre-training on large text corpora has been demonstrated effective for various downstream applications in the NLP domain. In the graph mining domain, a similar analogy can be…
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning
Qian Jiang, Changyou Chen, Han Zhao +6
Contrastive loss has been increasingly used in learning representations from multiple modalities. In the limit, the nature of the contrastive loss encourages modalities to exactly…
A Multi-level Alignment Training Scheme for Video-and-Language Grounding
Yubo Zhang, Feiyang Niu, Qing Ping +1
To solve video-and-language grounding tasks, the key is for the network to understand the connection between the two modalities. For a pair of video and language description, their…
Privacy Preserving Visual Question Answering
Cristian-Paul Bara, Qing Ping, Abhinav Mathur +3
We introduce a novel privacy-preserving methodology for performing Visual Question Answering on the edge. Our method constructs a symbolic representation of the visual scene, using…
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering
Feng Gao, Qing Ping, Govind Thattai +3
Outside-knowledge visual question answering (OK-VQA) requires the agent to comprehend the image, make use of relevant knowledge from the entire web, and digest all the information…
Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
Tao Tu, Qing Ping, Govind Thattai +2
GuessWhat?! is a two-player visual dialog guessing game where player A asks a sequence of yes/no questions (Questioner) and makes a final guess (Guesser) about a target object in a…