Search Results for author: Qun Song

Found 7 papers, 1 papers with code

Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation

no code implementations18 Jan 2024 Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi

E-commerce customers frequently seek detailed product information for purchase decisions, commonly contacting sellers directly with extended queries.

Question Answering

EmMixformer: Mix transformer for eye movement recognition

no code implementations10 Jan 2024 Huafeng Qin, Hongyu Zhu, Xin Jin, Qun Song, Mounim A. El-Yacoubi, Xinbo Gao

To this end, we propose a mixed block consisting of three modules, transformer, attention Long short-term memory (attention LSTM), and Fourier transformer.

Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving

no code implementations30 Jul 2023 Yang Lou, Qun Song, Qian Xu, Rui Tan, JianPing Wang

Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception.

Autonomous Driving Object +2

PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference

1 code implementation12 Nov 2022 Linshan Jiang, Qun Song, Rui Tan, Mo Li

This paper presents the design of a system called PriMask, in which the mobile device uses a secret small-scale neural network called MaskNet to mask the data before transmission.

Human Activity Recognition

Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge

no code implementations18 Apr 2022 Qun Song, Zhenyu Yan, Wenjie Luo, Rui Tan

This paper presents extensive evaluation of Sardino's performance in counteracting adversarial examples and applies it to build a real-time car-borne traffic sign recognition system.

Traffic Sign Recognition

Moving Target Defense for Deep Visual Sensing against Adversarial Examples

no code implementations11 May 2019 Qun Song, Zhenyu Yan, Rui Tan

Specifically, once the attackers obtain the deep model, they can construct adversarial examples to mislead the model to yield wrong classification results.

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