research
∙
09/17/2023
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors
3D object-level mapping is a fundamental problem in robotics, which is e...
share
research
∙
08/28/2023
Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera
6D pose estimation of textureless shiny objects has become an essential ...
research
∙
08/17/2023
META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection
For learning-based sound event localization and detection (SELD) methods...
research
∙
08/01/2023
Variational Label-Correlation Enhancement for Congestion Prediction
The physical design process of large-scale designs is a time-consuming t...
research
∙
06/05/2023
Motion Control based on Disturbance Estimation and Time-Varying Gain for Robotic Manipulators
To achieve high-accuracy manipulation in the presence of unknown dynamic...
research
∙
05/27/2023
Rethinking PRL: A Multiscale Progressively Residual Learning Network for Inverse Halftoning
Image inverse halftoning is a classic image restoration task, aiming to ...
research
∙
05/19/2023
Learning Diverse Risk Preferences in Population-based Self-play
Among the great successes of Reinforcement Learning (RL), self-play algo...
research
∙
04/13/2023
How Practical Phase-shift Errors Affect Beamforming of Reconfigurable Intelligent Surface?
Reconfigurable intelligent surface (RIS) is a new technique that is able...
research
∙
04/10/2023
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning
Equipped with the trained environmental dynamics, model-based offline re...
research
∙
03/26/2023
Task-oriented Memory-efficient Pruning-Adapter
The Outstanding performance and growing size of Large Language Models ha...
research
∙
03/12/2023
Next-Best-View Selection for Robot Eye-in-Hand Calibration
Robotic eye-in-hand calibration is the task of determining the rigid 6-D...
research
∙
02/23/2023
Pixel Difference Convolutional Network for RGB-D Semantic Segmentation
RGB-D semantic segmentation can be advanced with convolutional neural ne...
research
∙
02/10/2023
Channel Modeling and Multi-User Precoding for Tri-Polarized Holographic MIMO Communications
This paper studies the exploitation of triple polarization (TP) for mult...
research
∙
02/06/2023
Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations
Human data labeling is an important and expensive task at the heart of s...
research
∙
01/02/2023
Edge Enhanced Image Style Transfer via Transformers
In recent years, arbitrary image style transfer has attracted more and m...
research
∙
11/07/2022
Tri-Polarized Holographic MIMO Surface in Near-Field: Channel Modeling and Precoding Design
This paper investigates the utilization of triple polarization (TP) for ...
research
∙
10/20/2022
6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization
6D pose estimation of textureless objects is a valuable but challenging ...
research
∙
09/27/2022
SmartFPS: Neural Network based Wireless-inertial fusion positioning system
The current fusion positioning systems are mainly based on filtering alg...
research
∙
09/26/2022
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion
This paper proposes DisCo, an automatic deep learning compilation module...
research
∙
09/05/2022
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
Sound event localization and detection (SELD) is a joint task of sound e...
research
∙
07/25/2022
Statistical Inference with Stochastic Gradient Algorithms
Tuning of stochastic gradient algorithms (SGAs) for optimization and sam...
research
∙
07/14/2022
Attention: Not Just Another Dataset for Patch-Correctness Checking
Automated Program Repair (APR) techniques have drawn wide attention from...
research
∙
05/24/2022
Stereographic Markov Chain Monte Carlo
High dimensional distributions, especially those with heavy tails, are n...
research
∙
05/02/2022
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes
Maintaining an up-to-date map to reflect recent changes in the scene is ...
research
∙
04/22/2022
Efficient Pipeline Planning for Expedited Distributed DNN Training
To train modern large DNN models, pipeline parallelism has recently emer...
research
∙
03/19/2022
A Track-Wise Ensemble Event Independent Network for Polyphonic Sound Event Localization and Detection
Polyphonic sound event localization and detection (SELD) aims at detecti...
research
∙
02/27/2022
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects
Depth acquisition with the active stereo camera is a challenging task fo...
research
∙
02/22/2022
Understanding Queries by Conditional Instances
A powerful way to understand a complex query is by observing how it oper...
research
∙
12/07/2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Multi-agent reinforcement learning (MARL) has received increasing attent...
research
∙
11/15/2021
AI in Games: Techniques, Challenges and Opportunities
With breakthrough of AlphaGo, AI in human-computer game has become a ver...
research
∙
10/29/2021
Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals
Deepfake poses a serious threat to the reliability of judicial evidence ...
research
∙
10/24/2021
Adversarial Prefetch: New Cross-Core Cache Side Channel Attacks
On modern x86 processors, data prefetching instructions can be used by p...
research
∙
10/19/2021
Offline Reinforcement Learning with Value-based Episodic Memory
Offline reinforcement learning (RL) shows promise of applying RL to real...
research
∙
07/16/2021
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data
Recently, neural network compression schemes like channel pruning have b...
research
∙
06/07/2021
Average-Reward Reinforcement Learning with Trust Region Methods
Most of reinforcement learning algorithms optimize the discounted criter...
research
∙
06/07/2021
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Learning from datasets without interaction with environments (Offline Le...
research
∙
06/04/2021
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient
Despite superior performance on various natural language processing task...
research
∙
05/31/2021
1×N Block Pattern for Network Sparsity
Though network sparsity emerges as a promising direction to overcome the...
research
∙
05/17/2021
Dual-Stage Low-Complexity Reconfigurable Speech Enhancement
This paper proposes a dual-stage, low complexity, and reconfigurable tec...
research
∙
05/12/2021
Dimension-free Mixing for High-dimensional Bayesian Variable Selection
Yang et al. (2016) proved that the symmetric random walk Metropolis–Hast...
research
∙
05/10/2021
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking
In robotic bin-picking applications, the perception of texture-less, hig...
research
∙
05/05/2021
Dynamic Enumeration of Similarity Joins
This paper considers enumerating answers to similarity-join queries unde...
research
∙
04/06/2021
Extremely Low Footprint End-to-End ASR System for Smart Device
Recently, end-to-end (E2E) speech recognition has become popular, since ...
research
∙
03/23/2021
Efficiently Answering Durability Prediction Queries
We consider a class of queries called durability prediction queries that...
research
∙
03/19/2021
Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking
The reliable fusion of depth maps from multiple viewpoints has become an...
research
∙
03/09/2021
DISC: A Dynamic Shape Compiler for Machine Learning Workloads
Many recent machine learning models show dynamic shape characteristics. ...
research
∙
02/24/2021
Durable Top-K Instant-Stamped Temporal Records with User-Specified Scoring Functions
A way of finding interesting or exceptional records from instant-stamped...
research
∙
01/29/2021
Acoustic Structure Inverse Design and Optimization Using Deep Learning
From ancient to modern times, acoustic structures have been used to cont...
research
∙
11/18/2020
EasyTransfer – A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
The literature has witnessed the success of applying deep Transfer Learn...
research
∙
10/28/2020
