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272593003 | 2409.07452 | 2024-09-11 | Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models | Despite having tremendous progress in image-to-3D generation, existing methods still struggle to produce multi-view consistent images with high-resolution textures in detail, especially in the paradigm of 2D diffusion that lacks 3D awareness. In this work, we present High-resolution Image-to-3D model (Hi3D), a new vide... | [
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272593050 | 2409.07186 | 2024-09-11 | Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging | Diffusion-weighted imaging (DWI) is a type of Magnetic Resonance Imaging (MRI) technique sensitised to the diffusivity of water molecules, offering the capability to inspect tissue microstructures and is the only in-vivo method to reconstruct white matter fiber tracts non-invasively. The DWI signal can be analysed with... | [
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272592950 | 2409.06923 | 2024-09-11 | Rethinking Directional Parameterization in Neural Implicit Surface Reconstruction | Multi-view 3D surface reconstruction using neural implicit representations has made notable progress by modeling the geometry and view-dependent radiance fields within a unified framework. However, their effectiveness in reconstructing objects with specular or complex surfaces is typically biased by the directional par... | [
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272592928 | 2409.07335 | 2024-09-11 | Explanation, Debate, Align: A Weak-to-Strong Framework for Language Model Generalization | The rapid advancement of artificial intelligence systems has brought the challenge of AI alignment to the forefront of research, particularly in complex decision-making and task execution. As these systems surpass human-level performance in sophisticated problems, ensuring their alignment with human values, intentions,... | [
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272593465 | 2409.07239 | 2024-09-11 | PiTe: Pixel-Temporal Alignment for Large Video-Language Model | Fueled by the Large Language Models (LLMs) wave, Large Visual-Language Models (LVLMs) have emerged as a pivotal advancement, bridging the gap between image and text. However, video making it challenging for LVLMs to perform adequately due to the complexity of the relationship between language and spatial-temporal data ... | [
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219932882 | 2409.07588 | 2024-09-11 | 2D bidirectional gated recurrent unit convolutional Neural networks for end-to-end violence detection In videos | Abnormal behavior detection, action recognition, fight and violence detection in videos is an area that has attracted a lot of interest in recent years. In this work, we propose an architecture that combines a Bidirectional Gated Recurrent Unit (BiGRU) and a 2D Convolutional Neural Network (CNN) to detect violence in v... | [
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272593408 | 2409.07188 | 2024-09-11 | FuXi-2.0: Advancing machine learning weather forecasting model for practical applications | Machine learning (ML) models have become increasingly valuable in weather forecasting, providing forecasts that not only lower computational costs but often match or exceed the accuracy of traditional numerical weather prediction (NWP) models. Despite their potential, ML models typically suffer from limitations such as... | [
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272593204 | 2409.07163 | 2024-09-11 | Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models | Diffusion models have been widely employed in the field of 3D manipulation due to their efficient capability to learn distributions, allowing for precise prediction of action trajectories. However, diffusion models typically rely on large parameter UNet backbones as policy networks, which can be challenging to deploy o... | [
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272592987 | 2409.07256 | 2024-09-11 | MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing | With the rapid advancements in multimodal generative technology, Affective Computing research has provoked discussion about the potential consequences of AI systems equipped with emotional intelligence. Affective Computing involves the design, evaluation, and implementation of Emotion AI and related technologies aimed ... | [
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272593209 | 2409.06991 | 2024-09-11 | 1M-Deepfakes Detection Challenge | The detection and localization of deepfake content, particularly when small fake segments are seamlessly mixed with real videos, remains a significant challenge in the field of digital media security. Based on the recently released AV-Deepfake1M dataset, which contains more than 1 million manipulated videos across more... | [
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272593102 | 2409.07045 | 2024-09-11 | Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency | With the availability of various instruction datasets, a pivotal challenge is how to effectively select and integrate these instructions to fine-tune large language models (LLMs). Previous research mainly focuses on selecting individual high-quality instructions. However, these works overlooked the joint interactions a... | [
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272593365 | 2409.07361 | 2024-09-11 | Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics | Imaging features of knee articular cartilage have been shown to be potential imaging biomarkers for knee osteoarthritis. Despite recent methodological advancements in image analysis techniques like image segmentation, registration, and domain-specific image computing algorithms, only a few works focus on building fully... | [
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272593048 | 2409.07088 | 2024-09-11 | Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model | Knowledge Graph-to-Text (G2T) generation involves verbalizing structured knowledge graphs into natural language text. Recent advancements in Pretrained Language Models (PLMs) have improved G2T performance, but their effectiveness depends on datasets with precise graph-text alignment. However, the scarcity of high-quali... | [
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272593370 | 2409.07171 | 2024-09-11 | AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution | Computed tomography (CT) reconstruction plays a crucial role in industrial nondestructive testing and medical diagnosis. Sparse view CT reconstruction aims to reconstruct high-quality CT images while only using a small number of projections, which helps to improve the detection speed of industrial assembly lines and is... | [
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272593520 | 2409.07341 | 2024-09-11 | Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence | Interactive artificial intelligence in the motion control field is an interesting topic, especially when universal knowledge is adaptive to multiple tasks and universal environments. Despite there being increasing efforts in the field of Reinforcement Learning (RL) with the aid of transformers, most of them might be li... | [
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272554762 | 2409.07292 | 2024-09-11 | A Unified Contrastive Loss for Self-Training | Self-training methods have proven to be effective in exploiting abundant unlabeled data in semi-supervised learning, particularly when labeled data is scarce. While many of these approaches rely on a cross-entropy loss function (CE), recent advances have shown that the supervised contrastive loss function (SupCon) can ... | [
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272593120 | 2409.07367 | 2024-09-11 | Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning | Modern music streaming services are heavily based on recommendation engines to serve content to users. Sequential recommendation -- continuously providing new items within a single session in a contextually coherent manner -- has been an emerging topic in current literature. User feedback -- a positive or negative resp... | [
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272593523 | 2409.07089 | 2024-09-11 | TrialSynth: Generation of Synthetic Sequential Clinical Trial Data | Analyzing data from past clinical trials is part of the ongoing effort to optimize the design, implementation, and execution of new clinical trials and more efficiently bring life-saving interventions to market. While there have been recent advances in the generation of static context synthetic clinical trial data, due... | [
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272600122 | 2409.07627 | 2024-09-11 | Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers | E-commerce platforms have a vast catalog of items to cater to their customers' shopping interests. Most of these platforms assist their customers in the shopping process by offering optimized recommendation carousels, designed to help customers quickly locate their desired items. Many models have been proposed in acade... | [
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272593200 | 2409.07314 | 2024-09-11 | MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications | The rapid development of Large Language Models (LLMs) for healthcare applications has spurred calls for holistic evaluation beyond frequently-cited benchmarks like USMLE, to better reflect real-world performance. While real-world assessments are valuable indicators of utility, they often lag behind the pace of LLM evol... | [
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272593097 | 2409.07265 | 2024-09-11 | Cross-Dialect Text-To-Speech in Pitch-Accent Language Incorporating Multi-Dialect Phoneme-Level BERT | We explore cross-dialect text-to-speech (CD-TTS), a task to synthesize learned speakers' voices in non-native dialects, especially in pitch-accent languages. CD-TTS is important for developing voice agents that naturally communicate with people across regions. We present a novel TTS model comprising three sub-modules t... | [
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272593005 | 2409.07204 | 2024-09-11 | Online Graph Filtering Over Expanding Graphs | Graph filters are a staple tool for processing signals over graphs in a multitude of downstream tasks. However, they are commonly designed for graphs with a fixed number of nodes, despite real-world networks typically grow over time. This topological evolution is often known up to a stochastic model, thus, making conve... | [
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272689473 | 2409.09085 | 2024-09-11 | HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning | Structured pruning is one of the most popular approaches to effectively compress the heavy deep neural networks (DNNs) into compact sub-networks while retaining performance. The existing methods suffer from multi-stage procedures along with significant engineering efforts and human expertise. The Only-Train-Once (OTO) ... | [
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272987043 | 2409.18967 | 2024-09-11 | Brain Network Diffusion-Driven fMRI Connectivity Augmentation for Enhanced Autism Spectrum Disorder Diagnosis | Functional magnetic resonance imaging (fMRI) is an emerging neuroimaging modality that is commonly modeled as networks of Regions of Interest (ROIs) and their connections, named functional connectivity, for understanding the brain functions and mental disorders. However, due to the high cost of fMRI data acquisition an... | [
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276647989 | 2409.07347 | 2024-09-11 | The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review | The complex nature of disease mechanisms and the variability of patient symptoms pose significant challenges in developing effective diagnostic tools. Although machine learning (ML) has made substantial advances in medical diagnosis, the decision-making processes of these models often lack transparency, potentially jeo... | [
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272689114 | 2409.09086 | 2024-09-11 | Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU | Multimodal Large Language Models (MLLMs) are distinguished by their multimodal comprehensive ability and widely used in many real-world applications including GPT-4o, autonomous driving and robotics. Despite their impressive performance, the multimodal inputs always incur long context. The inference under long context ... | [
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272600353 | 2409.07556 | 2024-09-11 | SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis | In this paper, we introduce SSR-Speech, a neural codec autoregressive model designed for stable, safe, and robust zero-shot textbased speech editing and text-to-speech synthesis. SSR-Speech is built on a Transformer decoder and incorporates classifier-free guidance to enhance the stability of the generation process. A ... | [
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272593185 | 2409.07238 | 2024-09-11 | Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning | Diffusion Probabilistic Models have recently attracted significant attention in the community of computer vision due to their outstanding performance. However, while a substantial amount of diffusion-based research has focused on generative tasks, no work introduces diffusion models to advance the results of polyp segm... | [
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272599844 | 2409.07606 | 2024-09-11 | The Role of Deep Learning Regularizations on Actors in Offline RL | Deep learning regularization techniques, such as dropout, layer normalization, or weight decay, are widely adopted in the construction of modern artificial neural networks, often resulting in more robust training processes and improved generalization capabilities. However, in the domain of Reinforcement Learning (RL), ... | [
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272600308 | 2409.07757 | 2024-09-12 | From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion | In real-world clinical settings, data distributions evolve over time, with a continuous influx of new, limited disease cases. Therefore, class incremental learning is of great significance, i.e., deep learning models are required to learn new class knowledge while maintaining accurate recognition of previous diseases. ... | [
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272599762 | 2409.08167 | 2024-09-12 | High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis | Recently, text-to-image generative models have been misused to create unauthorized malicious images of individuals, posing a growing social problem. Previous solutions, such as Anti-DreamBooth, add adversarial noise to images to protect them from being used as training data for malicious generation. However, we found t... | [
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{
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"num_citations": 1730
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{
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}
] | [
{
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},
{
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