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09/07/2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy
Federated learning (FL) is designed to preserve data privacy during mode...
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06/27/2023
Rethinking Closed-loop Training for Autonomous Driving
Recent advances in high-fidelity simulators have enabled closed-loop tra...
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05/06/2023
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber
Neural networks often learn spurious correlations when exposed to biased...
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03/15/2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service
Federated Learning (FL) is a machine learning approach that allows multi...
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03/08/2023
STPDnet: Spatial-temporal convolutional primal dual network for dynamic PET image reconstruction
Dynamic positron emission tomography (dPET) image reconstruction is extr...
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03/08/2023
DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction
Deep learning based PET image reconstruction methods have achieved promi...
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02/21/2023
LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method
The integration of Time-of-Flight (TOF) information in the reconstructio...
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09/07/2022
FasterX: Real-Time Object Detection Based on Edge GPUs for UAV Applications
Real-time object detection on Unmanned Aerial Vehicles (UAVs) is a chall...
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02/15/2022
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
Federated learning (FL) that enables distributed clients to collaborativ...
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11/17/2021
Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
Deep network models perform excellently on In-Distribution (ID) data, bu...
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01/17/2021
PLUME: Efficient 3D Object Detection from Stereo Images
3D object detection plays a significant role in various robotic applicat...
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12/22/2020
Multi-Task Multi-Sensor Fusion for 3D Object Detection
In this paper we propose to exploit multiple related tasks for accurate ...
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11/12/2020
StrObe: Streaming Object Detection from LiDAR Packets
Many modern robotics systems employ LiDAR as their main sensing modality...
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09/12/2020
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing
Graph classification has practical applications in diverse fields. Recen...
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09/11/2020
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning
Federated Learning rests on the notion of training a global model distri...
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08/20/2020
Conditional Entropy Coding for Efficient Video Compression
We propose a very simple and efficient video compression framework that ...
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08/01/2020
Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning
Federated learning has received significant interests recently due to it...
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07/27/2020
Learning Lane Graph Representations for Motion Forecasting
We propose a motion forecasting model that exploits a novel structured m...
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07/18/2020
Robust Optimal Design when Missing Data Happen at Random
In this article, we investigate the robust optimal design problem for th...
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06/03/2020
MultiNet: Multiclass Multistage Multimodal Motion Prediction
One of the critical pieces of the self-driving puzzle is understanding t...
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05/29/2020
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
We tackle the problem of joint perception and motion forecasting in the ...
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03/30/2020
CPFed: Communication-Efficient and Privacy-Preserving Federated Learning
Federated learning is a machine learning setting where a set of edge dev...
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03/28/2020
Differentially Private Federated Learning for Resource-Constrained Internet of Things
With the proliferation of smart devices having built-in sensors, Interne...
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12/05/2019
PolyTransform: Deep Polygon Transformer for Instance Segmentation
In this paper, we propose PolyTransform, a novel instance segmentation a...
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09/12/2019
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
Our goal is to significantly speed up the runtime of current state-of-th...
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04/18/2019
Deep Rigid Instance Scene Flow
In this paper we tackle the problem of scene flow estimation in the cont...
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01/12/2019
UPSNet: A Unified Panoptic Segmentation Network
In this paper, we propose a unified panoptic segmentation network (UPSNe...
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10/19/2018
Linear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation
Shrinkage can effectively improve the condition number and accuracy of c...
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10/10/2018
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Hybrid massive MIMO structures with reduced hardware complexity and powe...
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08/30/2018
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy
Distributed machine learning is making great changes in a wide variety o...
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02/02/2015
Structured Occlusion Coding for Robust Face Recognition
Occlusion in face recognition is a common yet challenging problem. While...
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06/20/2013