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07/25/2023
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
Distributionally Robust Optimization (DRO), which aims to find an optima...
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06/30/2023
Parallel Self-assembly for a Multi-USV System on Water Surface with Obstacles
Parallel self-assembly is an efficient approach to accelerate the assemb...
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05/24/2023
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario
We introduce a novel visual question answering (VQA) task in the context...
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12/20/2022
Asynchronous Distributed Bilevel Optimization
Bilevel optimization plays an essential role in many machine learning ta...
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12/11/2022
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization
The hyperparameter optimization of neural network can be expressed as a ...
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12/07/2022
Design and Control of the "TransBoat": A Transformable Unmanned Surface Vehicle for Overwater Construction
This paper presents the TransBoat, a novel omnidirectional unmanned surf...
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10/14/2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives
Distributionally Robust Optimization (DRO), which aims to find an optima...
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09/07/2022
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection
Fusing LiDAR and camera information is essential for achieving accurate ...
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07/17/2022
Task-aware Similarity Learning for Event-triggered Time Series
Time series analysis has achieved great success in diverse applications ...
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03/10/2022
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
3D dense captioning is a recently-proposed novel task, where point cloud...
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03/10/2022
Suspected Object Matters: Rethinking Model's Prediction for One-stage Visual Grounding
Recently, one-stage visual grounders attract high attention due to the c...
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12/08/2021
PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing
In this paper, we propose PATO-a producibility-aware topology optimizati...
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10/09/2021
Two-stage Visual Cues Enhancement Network for Referring Image Segmentation
Referring Image Segmentation (RIS) aims at segmenting the target object ...
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09/06/2021
Data-Driven Learning of 3-Point Correlation Functions as Microstructure Representations
This paper considers the open challenge of identifying complete, concise...
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01/16/2021
Optical Flow Estimation via Motion Feature Recovery
Optical flow estimation with occlusion or large displacement is a proble...
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11/16/2020
2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning
In 2D+3D facial expression recognition (FER), existing methods generate ...
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11/16/2020
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
This paper addresses the challenging unsupervised scene flow estimation ...
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10/21/2020
BERT for Joint Multichannel Speech Dereverberation with Spatial-aware Tasks
We propose a method for joint multichannel speech dereverberation with t...
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10/04/2020
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Multivariate time series (MTS) data are becoming increasingly ubiquitous...
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07/16/2020
Translate Reverberated Speech to Anechoic Ones: Speech Dereverberation with BERT
Single channel speech dereverberation is considered in this work. Inspir...
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11/26/2019
Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps
3D fluorescence microscopy of living organisms has increasingly become a...
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05/01/2019
Inventory Routing Problem with Facility Location
We study problems that integrate depot location decisions along with the...
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12/14/2017
Approximation Algorithms for Replenishment Problems with Fixed Turnover Times
We introduce and study a class of optimization problems we coin replenis...
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12/22/2016