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07/25/2023
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding
3D visual grounding aims to localize the target object in a 3D point clo...
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07/24/2023
Revisiting Event-based Video Frame Interpolation
Dynamic vision sensors or event cameras provide rich complementary infor...
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07/18/2023
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
3D visual grounding involves finding a target object in a 3D scene that ...
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05/18/2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Data with missing values is ubiquitous in many applications. Recent year...
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11/27/2022
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
In geostatistical problems with massive sample size, Gaussian processes ...
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08/10/2022
LogStamp: Automatic Online Log Parsing Based on Sequence Labelling
Logs are one of the most critical data for service management. It contai...
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07/24/2022
Label-Guided Auxiliary Training Improves 3D Object Detector
Detecting 3D objects from point clouds is a practical yet challenging ta...
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07/21/2022
Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget
Spatial Gaussian process regression models typically contain finite dime...
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12/06/2021
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks...
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12/03/2021
Make A Long Image Short: Adaptive Token Length for Vision Transformers
The vision transformer splits each image into a sequence of tokens with ...
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12/01/2021
Training BatchNorm Only in Neural Architecture Search and Beyond
This work investigates the usage of batch normalization in neural archit...
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10/05/2021
Networked Time Series Prediction with Incomplete Data
A networked time series (NETS) is a family of time series on a given gra...
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12/16/2020
Summarizing Unstructured Logs in Online Services
Logs are one of the most valuable data sources for managing large-scale ...
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04/26/2020
Classification Trees for Imbalanced and Sparse Data: Surface-to-Volume Regularization
Classification algorithms face difficulties when one or more classes hav...
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05/13/2019
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Traffic signal control is an emerging application scenario for reinforce...
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02/16/2018