Care of terminally ill / Palliative care

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based tracking tools remain optimized for offline workflows that rely on fragmented software pipelines, workstation-grade GPUs, or external middleware to enable real-time deployment. Here we present an integrated software-hardware ecosystem for pose estimation that spans dataset creation, model training, o...

End-to-end deep learning versus machine learning for biomarker discovery in cancer genomes

Background: Accurate determination of genomic biomarkers from tumor sequencing is fundamental to precision oncology, informing disease classification and treatment decisions. In practice, biomarker inference relies on computational pipelines that often compress high-dimensional mutation data into predefined summaries such as mutational signatures or composite genomic features. While robust and wid...

Learning temporal embeddings from electronic health records of chronic kidney disease patients

We investigate whether temporal embedding models trained on longitudinal electronic health records can learn clinically meaningful representations wit...

NanoSimFormer: An end-to-end Transformer-based simulator for nanopore sequencing signal data

Nanopore sequencing has achieved a new standard of accuracy with the advent of R10.4.1 flow cell and high-performance Transformer-based basecalling mo...

Masked Modeling for Human Motion Recovery Under Occlusions

Human motion reconstruction from monocular videos is a fundamental challenge in computer vision, with broad applications in AR/VR, robotics, and digit...

Masked Modeling for Human Motion Recovery Under Occlusions

Human motion reconstruction from monocular videos is a fundamental challenge in computer vision, with broad applications in AR/VR, robotics, and digit...

Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification

Cervical spine fractures are critical medical conditions requiring precise and efficient detection for effective clinical management. This study explo...

LightOnOCR: A 1B End-to-End Multilingual Vision-Language Model for State-of-the-Art OCR

We present \textbf{LightOnOCR-2-1B}, a 1B-parameter end-to-end multilingual vision--language model that converts document images (e.g., PDFs) into cle...

Normal Breast Tissue (NBT)-Classifiers: Advancing Compartment Classification in Normal Breast Histology

Background: Cancer research emphasises early detection, yet quantitative methods for analysing normal tissue remain limited. Hematoxylin and eosin (H&...

Generative Scenario Rollouts for End-to-End Autonomous Driving

Vision-Language-Action (VLA) models are emerging as highly effective planning models for end-to-end autonomous driving systems. However, current works...

Cell Behavior Video Classification Challenge, a benchmark for computer vision methods in time-lapse microscopy

The classification of microscopy videos capturing complex cellular behaviors is crucial for understanding and quantifying the dynamics of biological p...

Towards Open Environments and Instructions: General Vision-Language Navigation via Fast-Slow Interactive Reasoning

Vision-Language Navigation aims to enable agents to navigate to a target location based on language instructions. Traditional VLN often follows a clos...

LP-LLM: End-to-End Real-World Degraded License Plate Text Recognition via Large Multimodal Models

Real-world License Plate Recognition (LPR) faces significant challenges from severe degradations such as motion blur, low resolution, and complex illu...

Real-time and accurate stereo matching via tri-fusion volume for stereo vision.

In the field of real-time stereo matching, a concise and informative cost volume is crucial for achieving high efficiency and accuracy. To this end, i...

A document is worth a structured record: Principled inductive bias design for document recognition

Many document types use intrinsic, convention-driven structures that serve to encode precise and structured information, such as the conventions gov...

IRAF-SLAM: An Illumination-Robust and Adaptive Feature-Culling Front-End for Visual SLAM in Challenging Environments

Robust Visual SLAM (vSLAM) is essential for autonomous systems operating in real-world environments, where challenges such as dynamic objects, low t...

ULC: A Unified and Fine-Grained Controller for Humanoid Loco-Manipulation

Loco-Manipulation for humanoid robots aims to enable robots to integrate mobility with upper-body tracking capabilities. Most existing approaches ad...

Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration

Cone-Beam Computed Tomography (CBCT) is widely used for intraoperative imaging due to its rapid acquisition and low radiation dose. However, CBCT im...

DREAM: Document Reconstruction via End-to-end Autoregressive Model

Document reconstruction constitutes a significant facet of document analysis and recognition, a field that has been progressively accruing interest ...

Flippi: End To End GenAI Assistant for E-Commerce

The emergence of conversational assistants has fundamentally reshaped user interactions with digital platforms. This paper introduces Flippi-a cutti...