Search Results for author:
Found 19 papers, 9 papers with code
CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition
We present CrossLoc3D, a novel 3D place recognition method that solves a large-scale point matching problem in a cross-source setting.
Ranked #1 on
3D Place Recognition
on Oxford RobotCar Dataset
A Data Quality Assessment Framework for AI-enabled Wireless Communication
Using artificial intelligent (AI) to re-design and enhance the current wireless communication system is a promising pathway for the future sixth-generation (6G) wireless network.
Inharmonious Region Localization via Recurrent Self-Reasoning
Synthetic images created by image editing operations are prevalent, but the color or illumination inconsistency between the manipulated region and background may make it unrealistic.
Inharmonious Region Localization by Magnifying Domain Discrepancy
Inharmonious region localization aims to localize the region in a synthetic image which is incompatible with surrounding background.
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation
Moreover, we present efficient policy distillation and tree-modification techniques that take advantage of the decision tree structure to allow improvements to a policy without retraining.
Learning Quantization in LDPC Decoders
Finding optimal message quantization is a key requirement for low complexity belief propagation (BP) decoding.
Multimodal Multi-objective Optimization: Comparative Study of the State-of-the-Art
Multimodal multi-objective problems (MMOPs) commonly arise in real-world problems where distant solutions in decision space correspond to very similar objective values.
High-Resolution Image Harmonization via Collaborative Dual Transformations
Conventional image harmonization methods learn global RGB-to-RGB transformation which could effortlessly scale to high resolution, but ignore diverse local context.
Ranked #2 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
Visible Watermark Removal via Self-calibrated Localization and Background Refinement
In the refinement stage, we integrate multi-level features to improve the texture quality of watermarked area.
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
We also point out the limitations of existing methods in each sub-task and the problem of the whole image composition task.
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
In order to increase the reliability and handle the failure cases of the expert policy, we combine with a policy extraction technique to transform the resulting policy into a decision tree format.
Inharmonious Region Localization
The advance of image editing techniques allows users to create artistic works, but the manipulated regions may be incompatible with the background.
Joule-Thomson expansion of the torus-like black hole
Furthermore, we investigate similarities and differences between the Van der Waals fluid, the torus-like black hole and the charged AdS black holes for the expansion.
General Relativity and Quantum Cosmology
Thermodynamics with pressure and volume of black holes based on two assumptions under scalar field scattering
Recently, a new assumption was proposed in [Phys.
General Relativity and Quantum Cosmology
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
Unlike prior attempts, we integrate the macro-strategy and the micromanagement of MOBA-game-playing into neural networks in a supervised and end-to-end manner.
BargainNet: Background-Guided Domain Translation for Image Harmonization
Therefore, we propose an image harmonization network with a novel domain code extractor and well-tailored triplet losses, which could capture the background domain information to guide the foreground harmonization.
Ranked #8 on
Image Harmonization
on iHarmony4
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta
In this work, we propose a novel Delta Generative Adversarial Network (DeltaGAN), which consists of a reconstruction subnetwork and a generation subnetwork.
OF-VO: Efficient Navigation among Pedestrians Using Commodity Sensors
Overall, our OF-VO algorithm using learning-based perception and model-based planning methods offers better performance than prior algorithms in terms of navigation time and success rate of collision avoidance.
Robotics
Hierarchical Macro Strategy Model for MOBA Game AI
In this paper, we propose a novel learning-based Hierarchical Macro Strategy model for mastering MOBA games, a sub-genre of RTS games.
