53 citations · 57 across the 9 of their papers we have counts for
9 papers
MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images
Qirui Wang, Jingyi He, Yining Pan +3
Spatial reasoning (SR), the ability to infer 3D spatial information from 2D inputs, is essential for real-world applications such as embodied AI and autonomous driving. However, ex…
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation
Huizhen Shu, Xuying Li, Qirui Wang +3
With the rapid proliferation of Natural Language Processing (NLP), especially Large Language Models (LLMs), generating adversarial examples to jailbreak LLMs remains a key challeng…
Spatial Speech Translation: Translating Across Space With Binaural Hearables
Tuochao Chen, Qirui Wang, Runlin He +1
Imagine being in a crowded space where people speak a different language and having hearables that transform the auditory space into your native language, while preserving the spat…
SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements
Haiyang Xie, Xi Shen, Shihua Huang +2
Most visual models are designed for sRGB images, yet RAW data offers significant advantages for object detection by preserving sensor information before ISP processing. This enable…
Multi-Modal Video Feature Extraction for Popularity Prediction
Haixu Liu, Wenning Wang, Haoxiang Zheng +4
This work aims to predict the popularity of short videos using the videos themselves and their related features. Popularity is measured by four key engagement metrics: view count,…
Effect of Adaptation Rate and Cost Display in a Human-AI Interaction Game
Jason T. Isa, Bohan Wu, Qirui Wang +4
As interactions between humans and AI become more prevalent, it is critical to have better predictors of human behavior in these interactions. We investigated how changes in the AI…
Target conversation extraction: Source separation using turn-taking dynamics
Tuochao Chen, Qirui Wang, Bohan Wu +4
Extracting the speech of participants in a conversation amidst interfering speakers and noise presents a challenging problem. In this paper, we introduce the novel task of target c…
MaskSR: Masked Language Model for Full-band Speech Restoration
Xu Li, Qirui Wang, Xiaoyu Liu
Speech restoration aims at restoring high quality speech in the presence of a diverse set of distortions. Although several deep learning paradigms have been studied for this task,…
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
Li Yi, Lin Shao, Manolis Savva +47
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database. The benchmark consists of two tasks: part-level segmentation…