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Found 15 papers, 2 papers with code
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification
Due to the difficulty of obtaining labeled data for hyperspectral images (HSIs), cross-scene classification has emerged as a widely adopted approach in the remote sensing community.
Deformable Beta Splatting
Notably, for the first time, splatting-based methods outperform state-of-the-art Neural Radiance Fields, highlighting the superior performance and efficiency of DBS for real-time radiance field rendering.
Ranked #1 on
Novel View Synthesis
on NeRF
SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting
Achieving high-fidelity 3D reconstruction from monocular video remains challenging due to the inherent limitations of traditional methods like Structure-from-Motion (SfM) and monocular SLAM in accurately capturing scene details.
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
Additionally, a risk-control component in FinCon enhances decision quality by episodically initiating a self-critiquing mechanism to update systematic investment beliefs.
AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field
3D Gaussian Splatting (3DGS) has recently advanced radiance field reconstruction by offering superior capabilities for novel view synthesis and real-time rendering speed.
WeakSurg: Weakly supervised surgical instrument segmentation using temporal equivariance and semantic continuity
We annotate instance-wise instrument labels with fixed time-steps which are double checked by a clinician with 3-years experience to evaluate segmentation results.
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Addressing this, we introduce \textsc{FinMem}, a novel LLM-based agent framework devised for financial decision-making.
Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks
Although pervasive spread of misinformation on social media platforms has become a pressing challenge, existing platform interventions have shown limited success in curbing its dissemination.
Universal Photorealistic Style Transfer: A Lightweight and Adaptive Approach
Photorealistic style transfer aims to apply stylization while preserving the realism and structure of input content.
MURPHY: Relations Matter in Surgical Workflow Analysis
Autonomous robotic surgery has advanced significantly based on analysis of visual and temporal cues in surgical workflow, but relational cues from domain knowledge remain under investigation.
Improving Global Forest Mapping by Semi-automatic Sample Labeling with Deep Learning on Google Earth Images
To provide guidelines for users and producers, it is urgent to produce a validation sample set at the global level.
Stochastic Top-k ListNet
ListNet is a well-known listwise learning to rank model and has gained much attention in recent years.
Learning from LDA using Deep Neural Networks
Latent Dirichlet Allocation (LDA) is a three-level hierarchical Bayesian model for topic inference.
Bayesian Analysis for miRNA and mRNA Interactions Using Expression Data
Compared to the point estimate algorithms, which only provide single estimates for those parameters, the Bayesian methods are more meaningful and provide credible intervals, which take into account the uncertainty of the inferred interactions of the miRNA and mRNA.
