7 citations · 11 across the 6 of their papers we have counts for
6 papers · 1 filter
FFINet: Future Feedback Interaction Network for Motion Forecasting
Miao Kang, Shengqi Wang, Sanping Zhou +3
Motion forecasting plays a crucial role in autonomous driving, with the aim of predicting the future reasonable motions of traffic agents. Most existing methods mainly model the hi…
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
Jingjing Jiang, Nanning Zheng
Recently, finetuning pretrained Vision-Language Models (VLMs) has been a prevailing paradigm for achieving state-of-the-art performance in Visual Question Answering (VQA). However,…
Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering
Jingjing Jiang, Ziyi Liu, Nanning Zheng
Benefiting from large-scale pretrained vision language models (VLMs), the performance of visual question answering (VQA) has approached human oracles. However, finetuning such mode…
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering
Jingjing Jiang, Ziyi Liu, Nanning Zheng
Video Question Answering (VideoQA), aiming to correctly answer the given question based on understanding multi-modal video content, is challenging due to the rich video content. Fr…
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
Jingjing Jiang, Ziyi Liu, Yifan Liu +2
Encouraging progress has been made towards Visual Question Answering (VQA) in recent years, but it is still challenging to enable VQA models to adaptively generalize to out-of-dist…
Learning to Infer Unseen Single-/Multi-Attribute-Object Compositions with Graph Networks
Hui Chen, Jingjing Jiang, Nanning Zheng
Inferring the unseen attribute-object composition is critical to make machines learn to decompose and compose complex concepts like people. Most existing methods are limited to the…