7 citations · 16 across the 10 of their papers we have counts for
9 papers · 1 filter
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack
Xiaojun Jia, Sensen Gao, Qing Guo +6
Vision-language pre-training (VLP) models excel at interpreting both images and text but remain vulnerable to multimodal adversarial examples (AEs). Advancing the generation of tra…
ResVG: Enhancing Relation and Semantic Understanding in Multiple Instances for Visual Grounding
Minghang Zheng, Jiahua Zhang, Qingchao Chen +2
Visual grounding aims to localize the object referred to in an image based on a natural language query. Although progress has been made recently, accurately localizing target objec…
Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection
Ting Lei, Shaofeng Yin, Yuxin Peng +1
Zero-shot Human-Object Interaction (HOI) detection has emerged as a frontier topic due to its capability to detect HOIs beyond a predefined set of categories. This task entails not…
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA
Wentao Mo, Yang Liu
In 3D Visual Question Answering (3D VQA), the scarcity of fully annotated data and limited visual content diversity hampers the generalization to novel scenes and 3D concepts (e.g.…
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory
Ting Lei, Fabian Caba, Qingchao Chen +3
Human Object Interaction (HOI) detection aims to localize and infer the relationships between a human and an object. Arguably, training supervised models for this task from scratch…
Weakly Supervised Vision-and-Language Pre-training with Relative Representations
Chi Chen, Peng Li, Maosong Sun +1
Weakly supervised vision-and-language pre-training (WVLP), which learns cross-modal representations with limited cross-modal supervision, has been shown to effectively reduce the d…