research
∙
05/16/2023
UOR: Universal Backdoor Attacks on Pre-trained Language Models
Backdoors implanted in pre-trained language models (PLMs) can be transfe...
share
research
∙
08/25/2022
Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning
Federated learning (FL) has enabled global model training on decentraliz...
research
∙
05/30/2022
Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving
While separately leveraging monocular 3D object detection and 2D multi-o...
research
∙
09/16/2021
Towards a General-Purpose Dynamic Information Flow Policy
Noninterference offers a rigorous end-to-end guarantee for secure propag...
research
∙
12/30/2020
RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving
Although the recent image-based 3D object detection methods using Pseudo...
research
∙
09/02/2020
Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training
In this work, we propose a novel single-shot and keypoints-based framewo...
research
∙
01/10/2020
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving
In this work, we propose an efficient and accurate monocular 3D detectio...
research
∙
06/05/2017
