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09/16/2023
CNS: Correspondence Encoded Neural Image Servo Policy
Image servo is an indispensable technique in robotic applications that h...
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09/12/2023
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair
Automatic program repair (APR) is crucial to reduce manual debugging eff...
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09/10/2023
RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution
Although syntactic information is beneficial for many NLP tasks, combini...
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08/30/2023
Sparse Waypoint Validity Checking for Self-Entanglement-Free Tethered Path Planning
A novel mechanism to derive self-entanglement-free (SEF) path for tether...
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08/24/2023
Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models
Instruction tuning is instrumental in enabling Large Language Models (LL...
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08/24/2023
StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction
High-Definition (HD) maps are essential for the safety of autonomous dri...
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08/18/2023
3D Model-free Visual localization System from Essential Matrix under Local Planar Motion
Visual localization plays a critical role in the functionality of low-co...
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07/27/2023
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Relational tables, where each row corresponds to an entity and each colu...
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06/07/2023
Privately generating tabular data using language models
Privately generating synthetic data from a table is an important brick o...
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06/02/2023
An Empirical Study on Challenging Math Problem Solving with GPT-4
Employing Large Language Models (LLMs) to address mathematical problems ...
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05/31/2023
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Code intelligence plays a key role in transforming modern software engin...
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05/23/2023
Leveraging BEV Representation for 360-degree Visual Place Recognition
This paper investigates the advantages of using Bird's Eye View (BEV) re...
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05/22/2023
'Tax-free' 3DMM Conditional Face Generation
3DMM conditioned face generation has gained traction due to its well-def...
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05/22/2023
Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning
Offline reinforcement learning aims to find the optimal policy from a pr...
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05/18/2023
Discounted Thompson Sampling for Non-Stationary Bandit Problems
Non-stationary multi-armed bandit (NS-MAB) problems have recently receiv...
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05/17/2023
Model-Free Robust Average-Reward Reinforcement Learning
Robust Markov decision processes (MDPs) address the challenge of model u...
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05/15/2023
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
This paper tries to address a fundamental question in point cloud self-s...
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05/13/2023
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Large language models (LLMs) pretrained on vast source code have achieve...
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05/02/2023
An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots
Piecewise constant curvature is a popular kinematics framework for conti...
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05/02/2023
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
We abstract the features (i.e. learned representations) of multi-modal d...
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04/28/2023
Learning adaptive manipulation of objects with revolute joint: A case study on varied cabinet doors opening
This paper introduces a learning-based framework for robot adaptive mani...
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04/27/2023
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
Robotic perception requires the modeling of both 3D geometry and semanti...
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04/25/2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
Acquiring driving policies that can transfer to unseen environments is c...
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04/23/2023
How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning
Deep reinforcement learning (DRL) for fluidic pinball, three individuall...
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04/19/2023
Application of attention-based Siamese composite neural network in medical image recognition
Medical image recognition often faces the problem of insufficient data i...
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04/18/2023
A Hyper-network Based End-to-end Visual Servoing with Arbitrary Desired Poses
Recently, several works achieve end-to-end visual servoing (VS) for robo...
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04/17/2023
Neural Map Prior for Autonomous Driving
High-definition (HD) semantic maps are crucial for autonomous vehicles n...
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04/10/2023
NF-Atlas: Multi-Volume Neural Feature Fields for Large Scale LiDAR Mapping
LiDAR Mapping has been a long-standing problem in robotics. Recent progr...
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04/08/2023
How Does Imperfect Automatic Indexing Affect Semantic Search Performance?
Documents in the health domain are often annotated with semantic concept...
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04/06/2023
A Fast and Lightweight Network for Low-Light Image Enhancement
Low-light images often suffer from severe noise, low brightness, low con...
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04/06/2023
Object-centric Inference for Language Conditioned Placement: A Foundation Model based Approach
We focus on the task of language-conditioned object placement, in which ...
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03/24/2023
UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields
Generating photorealistic images with controllable camera pose and scene...
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03/24/2023
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems
Deep Reinforcement Learning (DRL) enhances the efficiency of Autonomous ...
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03/24/2023
Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis
Recent studies reveal that Autonomous Vehicles (AVs) can be manipulated ...
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03/17/2023
GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates
3D object detection serves as the core basis of the perception tasks in ...
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03/13/2023
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Novel view synthesis with sparse inputs is a challenging problem for neu...
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03/05/2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
During industrial processing, unforeseen defects may arise in products d...
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03/04/2023
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks
In this work, we develop an Aligned Entropic Reproducing Kernel (AERK) f...
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03/01/2023
Multimodal Industrial Anomaly Detection via Hybrid Fusion
2D-based Industrial Anomaly Detection has been widely discussed, however...
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02/25/2023
Failure-aware Policy Learning for Self-assessable Robotics Tasks
Self-assessment rules play an essential role in safe and effective real-...
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02/24/2023
A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter
We focus on the task of language-conditioned grasping in clutter, in whi...
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02/20/2023
NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition
Neural networks have shown great potential in accelerating the solution ...
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02/19/2023
GRAFS: Graphical Faceted Search System to Support Conceptual Understanding in Exploratory Search
When people search for information about a new topic within large docume...
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02/15/2023
A Survey on Global LiDAR Localization
Knowledge about the own pose is key for all mobile robot applications. T...
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02/03/2023
DAMS-LIO: A Degeneration-Aware and Modular Sensor-Fusion LiDAR-inertial Odometry
The fusion scheme is crucial to the multi-sensor fusion method that is t...
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02/01/2023
EMV-LIO: An Efficient Multiple Vision aided LiDAR-Inertial Odometry
To deal with the degeneration caused by the incomplete constraints of si...
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01/30/2023
PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy
AI-Generated Content (AIGC) has recently gained a surge in popularity, p...
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01/30/2023
GE-Blender: Graph-Based Knowledge Enhancement for Blender
Although the great success of open-domain dialogue generation, unseen en...
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01/06/2023
Optimal subsampling algorithm for composite quantile regression with distributed data
For massive data stored at multiple machines, we propose a distributed s...
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01/02/2023