activity
20192024
most citedMGA-VQA: Multi-Granularity Alignment for Visual Question Answering

10 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification

Kunlun Xu, Chenghao Jiang, Peixi Xiong +2

Lifelong person re-identification (LReID) is an important but challenging task that suffers from catastrophic forgetting due to significant domain gaps between training steps. Exis…

cs.CV2022★ 10 cited

MGA-VQA: Multi-Granularity Alignment for Visual Question Answering

Peixi Xiong, Yilin Shen, Hongxia Jin

Learning to answer visual questions is a challenging task since the multi-modal inputs are within two feature spaces. Moreover, reasoning in visual question answering requires the…

cs.CV2022★ 5 cited

SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering

Peixi Xiong, Quanzeng You, Pei Yu +2

Visual Question Answering (VQA) attracts much attention from both industry and academia. As a multi-modality task, it is challenging since it requires not only visual and textual u…

cs.HC2020

Towards Better Driver Safety: Empowering Personal Navigation Technologies with Road Safety Awareness

Runsheng Xu, Shibo Zhang, Yue Zhao +4

Recent research has found that navigation systems usually assume that all roads are equally safe, directing drivers to dangerous routes, which led to catastrophic consequences. To…

cs.CV2019★ 4 cited

Visual Query Answering by Entity-Attribute Graph Matching and Reasoning

Peixi Xiong, Huayi Zhan, Xin Wang +2

Visual Query Answering (VQA) is of great significance in offering people convenience: one can raise a question for details of objects, or high-level understanding about the scene,…