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Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

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Visual Product Graph: Bridging Visual Products And Composite Images For End-to-End Style Recommendations

Retrieving semantically similar but visually distinct contents has been a critical capability in v...

Sci-Fi: Symmetric Constraint for Frame Inbetweening

Frame inbetweening aims to synthesize intermediate video sequences conditioned on the given start ...

BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks

Binary (0-1) integer programming (BIP) is pivotal in scientific domains requiring discrete decisio...

GraphAU-Pain: Graph-based Action Unit Representation for Pain Intensity Estimation

Understanding pain-related facial behaviors is essential for digital healthcare in terms of effect...

MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning

Text Image Machine Translation (TIMT)-the task of translating textual content embedded in images-i...

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Early identification of weeds is essential for effective management and control, and there is grow...

ConnectomeDiffuser: Generative AI Enables Brain Network Construction from Diffusion Tensor Imaging

Brain network analysis plays a crucial role in diagnosing and monitoring neurodegenerative disorde...

Decoupled Visual Interpretation and Linguistic Reasoning for Math Problem Solving

Current large vision-language models (LVLMs) typically employ a connector module to link visual fe...

FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow

Front-end engineering involves a complex workflow where engineers conceptualize designs, translate...

FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow

Front-end engineering involves a complex workflow where engineers conceptualize designs, translate...

UAV Control with Vision-based Hand Gesture Recognition over Edge-Computing

Gesture recognition presents a promising avenue for interfacing with unmanned aerial vehicles (UAV...

SEDD-PCC: A Single Encoder-Dual Decoder Framework For End-To-End Learned Point Cloud Compression

To encode point clouds containing both geometry and attributes, most learning-based compression sc...

M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion

We tackle the problem of monocular-to-stereo video conversion and propose a novel architecture for...

UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark Dataset

With recent breakthroughs in large-scale modeling, the Segment Anything Model (SAM) has demonstrat...

InTreeger: An End-to-End Framework for Integer-Only Decision Tree Inference

Integer quantization has emerged as a critical technique to facilitate deployment on resource-cons...

iPad: Iterative Proposal-centric End-to-End Autonomous Driving

End-to-end (E2E) autonomous driving systems offer a promising alternative to traditional modular p...

Text embedding models can be great data engineers

Data engineering pipelines are essential - albeit costly - components of predictive analytics fram...

Every Pixel Tells a Story: End-to-End Urdu Newspaper OCR

This paper introduces a comprehensive end-to-end pipeline for Optical Character Recognition (OCR) ...

Status calibration of a pulse shaping system for the high power laser facility based on deep learning.

To achieve high-precision and high-efficiency laser pulse shaping in the front-end system of high-po...

May 2025 40515065
End-to-End Vision Tokenizer Tuning

Existing vision tokenization isolates the optimization of vision tokenizers from downstream traini...

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