Search Results for author:
Found 28 papers, 11 papers with code
PoCo: Point Context Cluster for RGBD Indoor Place Recognition
We present a novel end-to-end algorithm (PoCo) for the indoor RGB-D place recognition task, aimed at identifying the most likely match for a given query frame within a reference database.
On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities
However, such integration can introduce significant vulnerabilities, in terms of their susceptibility to adversarial attacks due to the language models, potentially leading to catastrophic consequences.
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results
The FeTA Challenge 2022 was able to successfully evaluate and advance generalizability of multi-class fetal brain tissue segmentation algorithms for MRI and it continues to benchmark new algorithms.
Bringing Generative AI to Adaptive Learning in Education
The recent surge in generative AI technologies, such as large language models and diffusion models, have boosted the development of AI applications in various domains, including science, finance, and education.
A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms
In this paper, we propose a novel locally statistical variational active contour model based on I-divergence-TV denoising model, which hybrides geodesic active contour (GAC) model with active contours without edges (ACWE) model, and can be used to segment images corrupted by multiplicative gamma noise.
Active contours driven by local and global intensity fitting energy with application to SAR image segmentation and its fast solvers
In this paper, we propose a novel variational active contour model based on Aubert-Aujol (AA) denoising model, which hybrides geodesic active contour (GAC) model with active contours without edges (ACWE) model and can be used to segment images corrupted by multiplicative gamma noise.
A global optimization SAR image segmentation model can be easily transformed to a general ROF denoising model
The second model is: we use a different splitting approach than one model to transform the global optimization model into a differentiable term and a general ROF model term, which can be solved by the same technique as the first model.
Detection of Small Targets in Sea Clutter Based on RepVGG and Continuous Wavelet Transform
In this work, we propose a RepVGGA0-CWT detector, where RepVGG is a residual network that gains a high detection accuracy.
Multi-objective optimization based network control principles for identifying personalized drug targets with cancer
Recent structural network control principles have introduced a new approach to discover PDTs by selecting an optimal set of driver genes in personalized gene interaction network (PGIN).
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 CS-Campus3D
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 #3 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 have also contributed the first image composition toolbox: libcom https://github. com/bcmi/libcom, which assembles 10+ image composition related functions (e. g., image blending, image harmonization, object placement, shadow generation, generative composition).
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 #13 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.
