Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
25,078	24	Title: Understanding recent deep-learning techniques for identifying collective variables of molecular dynamics Abstract: High-dimensional metastable molecular system can often be characterised by a few features of the system, i.e. collective variables (CVs). Thanks to the rapid advance in the area of machine learning ...	[]	Train
25,079	25	Title: Joint Multi-scale Cross-lingual Speaking Style Transfer with Bidirectional Attention Mechanism for Automatic Dubbing Abstract: Automatic dubbing, which generates a corresponding version of the input speech in another language, could be widely utilized in many real-world scenarios such as video and game localizat...	[]	Train
25,080	21	Title: HERMES: qualification of High pErformance pRogrammable Microprocessor and dEvelopment of Software ecosystem Abstract: European efforts to boost competitiveness in the sector of space services promote the research and development of advanced software and hardware solutions. The EU-funded HERMES project contribute...	[]	Test
25,081	16	Title: Learning from Mistakes: Self-Regularizing Hierarchical Semantic Representations in Point Cloud Segmentation Abstract: —Recent advances in autonomous robotic technologies have highlighted the growing need for precise environmental analysis. LiDAR semantic segmentation has gained attention to accomplish ﬁne-graine...	[]	Train
25,082	25	Title: A Multi-Scale Attentive Transformer for Multi-Instrument Symbolic Music Generation Abstract: Recently, multi-instrument music generation has become a hot topic. Different from single-instrument generation, multi-instrument generation needs to consider inter-track harmony besides intra-track coherence. This is us...	[]	Test
25,083	3	Title: A Framework for Responsible Development of Automated Student Feedback with Generative AI Abstract: Providing rich feedback to students is essential for supporting student learning. Recent advances in generative AI, particularly within large language modelling (LLM), provide the opportunity to deliver repeatable,...	[ 40504, 33220, 37447 ]	Train
25,084	16	Title: Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System Abstract: Unmanned Aerial Vehicles (UAVs) have been widely used in many areas, including transportation, surveillance, and military. However, their potential for safety and privacy violations is an in...	[ 26484 ]	Train
25,085	30	Title: JIANG: Chinese Open Foundation Language Model Abstract: With the advancements in large language model technology, it has showcased capabilities that come close to those of human beings across various tasks. This achievement has garnered significant interest from companies and scientific research institutions, le...	[ 2347, 13700, 29375 ]	Train
25,086	4	Title: IIDS: Design of Intelligent Intrusion Detection System for Internet-of-Things Applications Abstract: With rapid technological growth, security attacks are drastically increasing. In many crucial Internet-of-Things (IoT) applications such as healthcare and defense, the early detection of security attacks plays a ...	[ 35459 ]	Test
25,087	1	Title: Dronevision: An Experimental 3D Testbed for Flying Light Specks Abstract: Today's robotic laboratories for drones are housed in a large room. At times, they are the size of a warehouse. These spaces are typically equipped with permanent devices to localize the drones, e.g., Vicon Infrared cameras. Significant ti...	[]	Train
25,088	16	Title: Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification Abstract: Identifying Amyotrophic Lateral Sclerosis (ALS) in its early stages is essential for establishing the beginning of treatment, enriching the outlook, and enhancing the overall well-being of those affected individuals. However, early di...	[]	Train
25,089	31	Title: Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction Abstract: Search engine plays a crucial role in satisfying users' diverse information needs. Recently, Pretrained Language Models (PLMs) based text ranking models have achieved huge success in web search. However, many state-of-th...	[ 5155, 19702 ]	Test
25,090	24	Title: Secure Aggregation in Federated Learning is not Private: Leaking User Data at Large Scale through Model Modification Abstract: Security and privacy are important concerns in machine learning. End user devices often contain a wealth of data and this information is sensitive and should not be shared with servers o...	[ 15328, 38629, 5614, 14064, 32149, 12280 ]	Train
25,091	24	Title: RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient Search Abstract: The trustworthiness of DNNs is often challenged by their vulnerability to minor adversarial perturbations, which may not only undermine prediction accuracy (robustness) but also cause biased predictions for similar i...	[]	Train
25,092	4	Title: Improved Privacy-Preserving PCA Using Optimized Homomorphic Matrix Multiplication Abstract: Principal Component Analysis (PCA) is a pivotal technique widely utilized in the realms of machine learning and data analysis. It aims to reduce the dimensionality of a dataset while minimizing the loss of information. In...	[]	Train
25,093	8	Title: Performance Comparison Between VoLTE and non-VoLTE Voice Calls During Mobility in Commercial Deployment: A Drive Test-Based Analysis Abstract: The optimization of network performance is vital for the delivery of services using standard cellular technologies for mobile communications. Call setup delay and User Eq...	[]	Train
25,094	24	Title: Rates of Approximation by ReLU Shallow Neural Networks Abstract: Neural networks activated by the rectified linear unit (ReLU) play a central role in the recent development of deep learning. The topic of approximating functions from H\"older spaces by these networks is crucial for understanding the efficiency of...	[]	Train
25,095	27	Title: Reinforcement Learning-Based Air Traffic Deconfliction Abstract: Remain Well Clear, keeping the aircraft away from hazards by the appropriate separation distance, is an essential technology for the safe operation of uncrewed aerial vehicles in congested airspace. This work focuses on automating the horizontal se...	[ 28116 ]	Validation
25,096	9	Title: A Note On The Natural Range Of Unambiguous-SAT Abstract: We discuss the natural range of the Unambiguous-SAT problem with respect to the number of clauses. We prove that for a given Boolean formula in precise conjunctive normal form with n variables, there exist functions f(n) and g(n) such that if the number of...	[]	Validation
25,097	16	Title: Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos Abstract: A key challenge with procedure planning in instructional videos lies in how to handle a large decision space consisting of a multitude of action types that belong to various tasks. To understand real-world video content...	[ 37987, 13700, 32356, 33220, 43407, 6482, 26454, 13816 ]	Validation
25,098	16	Title: Whether you can locate or not? Interactive Referring Expression Generation Abstract: Referring Expression Generation (REG) aims to generate unambiguous Referring Expressions (REs) for objects in a visual scene, with a dual task of Referring Expression Comprehension (REC) to locate the referred object. Existing m...	[]	Train
25,099	24	Title: Knowledge Extraction with Interval Temporal Logic Decision Trees Abstract: Multivariate temporal, or time, series classification is, in a way, the temporal generalization of (numeric) classification, as every instance is described by multiple time series instead of multiple values. Symbolic classification is the...	[]	Train
25,100	16	Title: HDFormer: High-order Directed Transformer for 3D Human Pose Estimation Abstract: Human pose estimation is a challenging task due to its structured data sequence nature. Existing methods primarily focus on pair-wise interaction of body joints, which is insufficient for scenarios involving overlapping joints and r...	[ 25601, 1635, 25453, 5878, 1723, 8253 ]	Validation
25,101	24	Title: Classification of Methods to Reduce Clinical Alarm Signals for Remote Patient Monitoring: A Critical Review Abstract: Remote Patient Monitoring (RPM) is an emerging technology paradigm that helps reduce clinician workload by automated monitoring and raising intelligent alarm signals. High sensitivity and intelli...	[]	Test
25,102	30	Title: A Critical Evaluation of Evaluations for Long-form Question Answering Abstract: Long-form question answering (LFQA) enables answering a wide range of questions, but its flexibility poses enormous challenges for evaluation. We perform the first targeted study of the evaluation of long-form answers, covering both ...	[ 20072, 17417, 31291, 44063, 30975 ]	Train
25,103	30	Title: EventNet-ITA: Italian Frame Parsing for Events Abstract: This paper introduces EventNet-ITA, a large, multi-domain corpus annotated with event frames for Italian, and presents an efficient approach for multi-label Frame Parsing. The approach is then evaluated on the dataset. Covering a wide range of individual, ...	[]	Train
25,104	2	Title: Taming Large Bounds in Synthesis from Bounded-Liveness Specifications (Full Version) Abstract: Automatic synthesis from temporal logic specifications is an attractive alternative to manual system design, due to its ability to generate correct-by-construction implementations from high-level specifications. Due to...	[]	Train
25,105	27	Title: Autonomous Systems: Autonomous Systems: Indoor Drone Navigation Abstract: Drones are a promising technology for autonomous data collection and indoor sensing. In situations when human-controlled UAVs may not be practical or dependable, such as in uncharted or dangerous locations, the usage of autonomous UAVs off...	[]	Train
25,106	30	Title: Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis Abstract: Multimodal relation extraction (MRE) is the task of identifying the semantic relationships between two entities based on the context of the sentence image pair. Existing retrieval-augmented approaches mainly focused on modeling the...	[ 45616, 43756, 1326 ]	Validation
25,107	16	Title: TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation Abstract: Test-time adaptive (TTA) semantic segmentation adapts a source pre-trained image semantic segmentation model to unlabeled batches of target domain test images, different from real-world, where samples arrive one-...	[ 43608, 39250, 39381, 7064, 35162 ]	Train
25,108	24	Title: The Expressive Power of Tuning Only the Normalization Layers Abstract: Feature normalization transforms such as Batch and Layer-Normalization have become indispensable ingredients of state-of-the-art deep neural networks. Recent studies on fine-tuning large pretrained models indicate that just tuning the paramet...	[]	Train
25,109	30	Title: XNLI 2.0: Improving XNLI dataset and performance on Cross Lingual Understanding (XLU) Abstract: Natural Language Processing systems are heavily dependent on the availability of annotated data to train practical models. Primarily, models are trained on English datasets. In recent times, significant advances have ...	[]	Test
25,110	16	Title: PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-Identification Abstract: Modern data augmentation using a mixture-based technique can regularize the models from overfitting to the training data in various computer vision applications, but a proper data augmentation techniq...	[ 25159 ]	Train
25,111	24	Title: Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Abstract: Adversarial nets have proved to be powerful in various domains including generative modeling (GANs), transfer learning, and fairness. However, successfully training adversarial nets using first-order methods remains a m...	[]	Train
25,112	16	Title: Enhancing Textbooks with Visuals from the Web for Improved Learning Abstract: Textbooks are the primary vehicle for delivering quality education to students. It has been shown that explanatory or illustrative visuals play a key role in the retention, comprehension and the general transfer of knowledge. However, ...	[]	Train
25,113	24	Title: Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction Abstract: crucial for transportation management. However, traditional spatial-temporal deep learning models grapple with addressing the sparse and long-tail characteristics in high-resolution O-...	[ 19744 ]	Train
25,114	30	Title: Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification Abstract: Prompt-based classification adapts tasks to a cloze question format utilizing the [MASK] token and the filled tokens are then mapped to labels through pre-defined verbalizers. Recent studies have explored the use o...	[ 13700 ]	Test
25,115	24	Title: Agent Performing Autonomous Stock Trading under Good and Bad Situations Abstract: Stock trading is one of the popular ways for financial management. However, the market and the environment of economy is unstable and usually not predictable. Furthermore, engaging in stock trading requires time and effort to analy...	[]	Train
25,116	24	Title: Conditional expectation network for SHAP Abstract: A very popular model-agnostic technique for explaining predictive models is the SHapley Additive exPlanation (SHAP). The two most popular versions of SHAP are a conditional expectation version and an unconditional expectation version (the latter is also known as...	[]	Test
25,117	16	Title: MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path Abstract: Image generation using diffusion can be controlled in multiple ways. In this paper, we systematically analyze the equations of modern generative diffusion networks to propose a framework, called MDP, that expl...	[ 16103, 3690, 11820, 8919, 10872, 34074, 43867 ]	Validation
25,118	36	Title: Breaking the 3/4 Barrier for Approximate Maximin Share Abstract: We study the fundamental problem of fairly allocating a set of indivisible goods among $n$ agents with additive valuations using the desirable fairness notion of maximin share (MMS). MMS is the most popular share-based notion, in which an agent fin...	[ 33924, 11338, 3056, 45592, 38845, 42142 ]	Validation
25,119	6	Title: Large Scale Qualitative Evaluation of Generative Image Model Outputs Abstract: Evaluating generative image models remains a difficult problem. This is due to the high dimensionality of the outputs, the challenging task of representing but not replicating training data, and the lack of metrics that fully correspo...	[]	Train
25,120	7	Title: Prediction of COVID-19 by Its Variants using Multivariate Data-driven Deep Learning Models Abstract: The Coronavirus Disease 2019 or the COVID-19 pandemic has swept almost all parts of the world since the first case was found in Wuhan, China, in December 2019. With the increasing number of COVID-19 cases in the ...	[]	Train
25,121	27	Title: Contribution à l'Optimisation d'un Comportement Collectif pour un Groupe de Robots Autonomes Abstract: This thesis studies the domain of collective robotics, and more particularly the optimization problems of multirobot systems in the context of exploration, path planning and coordination. It includes two contri...	[]	Test
25,122	16	Title: Reliability Scores From Saliency Map Clusters for Improved Image-Based Harvest-Readiness Prediction in Cauliflower Abstract: Cauliflower is a hand-harvested crop that must fulfill high-quality standards in sales making the timing of harvest important. However, accurately determining harvest-readiness can be chal...	[]	Test
25,123	23	Title: Modular and Incremental Global Model Management with Extended Generalized Discrimination Networks Abstract: Complex projects developed under the paradigm of model-driven engineering nowadays often involve several interrelated models, which are automatically processed via a multitude of model operations. Modular ...	[]	Train
25,124	24	Title: Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production Abstract: nan	[]	Train
25,125	6	Title: ChatGPT as a Therapist Assistant: A Suitability Study Abstract: This paper proposes using ChatGPT, an innovative technology with various applications, as an assistant for psychotherapy. ChatGPT can serve as a patient information collector, a companion for patients in between therapy sessions, and an organizer of...	[ 18638 ]	Validation
25,126	28	Title: Rate-Compatible Polar Codes for Automorphism Ensemble Decoding Abstract: Recently, automorphism ensemble decoding (AED) has drawn research interest as a more computationally efficient alternative to successive cancellation list (SCL) decoding of polar codes. Although AED has demonstrated superior performance for...	[ 37597 ]	Train
25,127	16	Title: SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input Views Abstract: We study to generate novel views of indoor scenes given sparse input views. The challenge is to achieve both photorealism and view consistency. We present SparseGNV: a learning framework that incorporates 3D structures and image...	[]	Validation
25,128	16	Title: Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation Abstract: Weakly supervised semantic segmentation (WSSS) models relying on class activation maps (CAMs) have achieved desirable performance comparing to the non-CAMs-based counterparts. However, to guarantee WSSS ...	[ 5921 ]	Train
25,129	24	Title: A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping Abstract: nan	[ 35526 ]	Test
25,130	16	Title: DocMAE: Document Image Rectification via Self-supervised Representation Learning Abstract: Tremendous efforts have been made on document image rectification, but how to learn effective representation of such distorted images is still under-explored. In this paper, we present DocMAE, a novel self-supervised frame...	[]	Train
25,131	24	Title: Local Intrinsic Dimensional Entropy Abstract: Most entropy measures depend on the spread of the probability distribution over the sample space \|X\|, and the maximum entropy achievable scales proportionately with the sample space cardinality \|X\|. For a finite \|X\|, this yields robust entropy measures which satisfy ...	[]	Train
25,132	8	Title: Graph Neural Networks-Based User Pairing in Wireless Communication Systems Abstract: Recently, deep neural networks have emerged as a solution to solve NP-hard wireless resource allocation problems in real-time. However, multi-layer perceptron (MLP) and convolutional neural network (CNN) structures, which are in...	[]	Test
25,133	27	Title: Cooperative Multi-Agent Planning Framework for Fuel Constrained UAV-UGV Routing Problem Abstract: Unmanned Aerial Vehicles (UAVs), although adept at aerial surveillance, are often constrained by limited battery capacity. By refueling on slow-moving Unmanned Ground Vehicles (UGVs), their operational endurance can...	[ 45440 ]	Train
25,134	30	Title: CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models Abstract: Large pre-trained language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their ability to generalize to unseen tas...	[ 33220, 10567, 6825, 2678, 33566, 27583 ]	Train
25,135	16	Title: Local Rose Breeds Detection System Using Transfer Learning Techniques Abstract: Flower breed detection and giving details of that breed with the suggestion of cultivation processes and the way of taking care is important for flower cultivation, breed invention, and the flower business. Among all the local flower...	[ 39420 ]	Validation
25,136	30	Title: Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding Abstract: This paper presents GenDoc, a general sequence-to-sequence document understanding model pre-trained with unified masking across three modalities: text, image, and layout. The proposed model utilizes an enc...	[]	Test
25,137	16	Title: ViLP: Knowledge Exploration using Vision, Language, and Pose Embeddings for Video Action Recognition Abstract: Video Action Recognition (VAR) is a challenging task due to its inherent complexities. Though different approaches have been explored in the literature, designing a unified framework to recognize a larg...	[ 30914, 15467, 12221 ]	Validation
25,138	6	Title: Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction Abstract: For successful deployment of robots in multifaceted situations, an understanding of the robot for its environment is indispensable. With advancing performance of state-of-the-art object detectors, the ...	[]	Train
25,139	15	Title: Accelerating Edge AI with Morpher: An Integrated Design, Compilation and Simulation Framework for CGRAs Abstract: Coarse-Grained Reconfigurable Arrays (CGRAs) hold great promise as power-efficient edge accelerator, offering versatility beyond AI applications. Morpher, an open-source, architecture-adaptive CGRA d...	[]	Test
25,140	23	Title: Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users Abstract: Establishing digital twins is a non-trivial endeavour especially when users face significant challenges in creating them from scratch. Ready availability of reusable models, data and tool assets, can help with creation ...	[]	Train
25,141	33	Title: Synthesis of Procedural Models for Deterministic Transition Systems Abstract: This paper introduces a general approach for synthesizing procedural models of the state-transitions of a given discrete system. The approach is general in that it accepts different target languages for modeling the state-transitions o...	[]	Train
25,142	28	Title: Meta-Learning Based Few Pilots Demodulation and Interference Cancellation For NOMA Uplink Abstract: Non-Orthogonal Multiple Access (NOMA) is at the heart of a paradigm shift towards non-orthogonal communication due to its potential to scale well in massive deployments. Neverthe-less, the overhead of channel esti...	[ 22152 ]	Test
25,143	10	Title: Ethical ChatGPT: Concerns, Challenges, and Commandments Abstract: Large language models, e.g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population. However, such chatbot models were developed as tools to support natural language ...	[ 17248, 22824, 1899, 1296, 35959, 33497 ]	Train
25,144	24	Title: Explaining Deep Learning Hidden Neuron Activations using Concept Induction Abstract: One of the current key challenges in Explainable AI is in correctly interpreting activations of hidden neurons. It seems evident that accurate interpretations thereof would provide insights into the question what a deep learning...	[]	Train
25,145	36	Title: A Redistribution Framework for Diffusion Auctions Abstract: Redistribution mechanism design aims to redistribute the revenue collected by a truthful auction back to its participants without affecting the truthfulness. We study redistribution mechanisms for diffusion auctions, which is a new trend in mechanism de...	[ 14848 ]	Train
25,146	16	Title: EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging Abstract: Video snapshot compressive imaging (SCI) uses a twodimensional detector to capture consecutive video frames during a single exposure time. Following this, an efficient reconstruction...	[]	Train
25,147	24	Title: Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization Abstract: This paper presents an extension of the Mirror Descent method to overcome challenges in cooperative Multi-Agent Reinforcement Learning (MARL) settings, where agents have varying abilities and individual policies. Th...	[]	Train
25,148	7	Title: Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach Abstract: This study presents a systematic machine learning approach for creating efficient hybrid models and discovering sorption uptake models in non-lin...	[]	Validation
25,149	7	Title: 3D printed architected lattice structures by material jetting Abstract: nan	[]	Train
25,150	27	Title: LiDAR-Based Place Recognition For Autonomous Driving: A Survey Abstract: LiDAR-based place recognition (LPR) plays a pivotal role in autonomous driving, which assists Simultaneous Localization and Mapping (SLAM) systems in reducing accumulated errors and achieving reliable localization. However, existing reviews...	[ 38459 ]	Train
25,151	16	Title: Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation Abstract: Diffusion probabilistic models have achieved remarkable success in text guided image generation. However, generating 3D shapes is still challenging due to the lack of sufficient data containing 3D models along with their descript...	[ 42804 ]	Train
25,152	6	Title: An inverse modeling method to estimate undertain spatial configurations from 2d information and time-based visual discriminations Abstract: This paper focuses on a specific aspect of human visual discrimination from computationally generated solutions for CAAD ends. The bottleneck at work here concern informatio...	[]	Test
25,153	16	Title: Dynamic Spatial-temporal Hypergraph Convolutional Network for Skeleton-based Action Recognition Abstract: Skeleton-based action recognition relies on the extraction of spatial-temporal topological information. Hypergraphs can establish prior unnatural dependencies for the skeleton. However, the existing methods ...	[]	Train
25,154	16	Title: Explore the Power of Dropout on Few-shot Learning Abstract: The generalization power of the pre-trained model is the key for few-shot deep learning. Dropout is a regularization technique used in traditional deep learning methods. In this paper, we explore the power of dropout on few-shot learning and provide som...	[]	Train
25,155	16	Title: AVIS: Autonomous Visual Information Seeking with Large Language Models Abstract: In this paper, we propose an autonomous information seeking visual question answering framework, AVIS. Our method leverages a Large Language Model (LLM) to dynamically strategize the utilization of external tools and to investigate ...	[ 7936, 10624, 37987, 13700, 33220, 6963, 33853, 27964, 3609, 634, 13564, 8733, 1854 ]	Train
25,156	24	Title: Think Before You Act: Decision Transformers with Internal Working Memory Abstract: Large language model (LLM)-based decision-making agents have shown the ability to generalize across multiple tasks. However, their performance relies on massive data and compute. We argue that this inefficiency stems from the forg...	[ 33220, 13700, 23307, 17328, 3165 ]	Train
25,157	38	Title: Are self-citations a normal feature of knowledge accumulation? Abstract: Science is a cumulative activity, which can manifest itself through the act of citing. Citations are also central to research evaluation, thus creating incentives for researchers to cite their own work. Using a dataset containing more than ...	[]	Train
25,158	34	Title: Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint Abstract: Finding diverse solutions to optimization problems has been of practical interest for several decades, and recently enjoyed increasing attention in research. While submodular optimization has been rigorously ...	[]	Validation
25,159	16	Title: Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Abstract: Inspired by the fact that human brains can emphasize discriminative parts of the input and suppress irrelevant ones, substantial local mechanisms have been designed to boost the development of computer vision. T...	[ 32001, 8162, 45473, 13860, 15525, 10189, 25110, 40699 ]	Train
25,160	16	Title: Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models Abstract: In this study, we present an efficient and effective approach for achieving temporally consistent synthetic-to-real video translation in videos of varying lengths. Our method lev...	[ 20474, 34074, 14956 ]	Validation
25,161	16	Title: X-Pruner: eXplainable Pruning for Vision Transformers Abstract: Recently vision transformer models have become prominent models for a range of tasks. These models, however, usually suffer from intensive computational costs and heavy memory requirements, making them impractical for deployment on edge platforms. R...	[ 10371 ]	Train
25,162	16	Title: Leveraging the Triple Exponential Moving Average for Fast-Adaptive Moment Estimation Abstract: Network optimization is a crucial step in the field of deep learning, as it directly affects the performance of models in various domains such as computer vision. Despite the numerous optimizers that have been develope...	[]	Validation
25,163	24	Title: Optimizing Multi-Domain Performance with Active Learning-based Improvement Strategies Abstract: Improving performance in multiple domains is a challenging task, and often requires significant amounts of data to train and test models. Active learning techniques provide a promising solution by enabling models to s...	[]	Train
25,164	24	Title: Touch Sensing on Semi-Elastic Textiles with Border-Based Sensors Abstract: This study presents a novel approach for touch sensing using semi-elastic textile surfaces that does not require the placement of additional sensors in the sensing area, instead relying on sensors located on the border of the textile. ...	[]	Train
25,165	24	Title: On Riemannian Projection-free Online Learning Abstract: The projection operation is a critical component in a wide range of optimization algorithms, such as online gradient descent (OGD), for enforcing constraints and achieving optimal regret bounds. However, it suffers from computational complexity limitations ...	[ 28384 ]	Train
25,166	16	Title: Towards Real Time Egocentric Segment Captioning for The Blind and Visually Impaired in RGB-D Theatre Images Abstract: In recent years, image captioning and segmentation have emerged as crucial tasks in computer vision, with applications ranging from autonomous driving to content analysis. Although multiple solut...	[ 17599 ]	Train
25,167	24	Title: Learning to Sail Dynamic Networks: The MARLIN Reinforcement Learning Framework for Congestion Control in Tactical Environments Abstract: Conventional Congestion Control (CC) algorithms,such as TCP Cubic, struggle in tactical environments as they misinterpret packet loss and fluctuating network performance as con...	[ 19552 ]	Train
25,168	18	Title: Real-time Trading System based on Selections of Potentially Profitable, Uncorrelated, and Balanced Stocks by NP-hard Combinatorial Optimization Abstract: Financial portfolio construction problems are often formulated as quadratic and discrete (combinatorial) optimization that belong to the nondeterministic polyn...	[ 28656 ]	Validation
25,169	16	Title: Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video Abstract: This paper presents an unsupervised approach that leverages raw aerial videos to learn to estimate planar homographic transformation between consecutive video frames. Previous learning-based estimators work on pai...	[ 41791 ]	Validation
25,170	30	Title: tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation Abstract: The HuggingFace Datasets Hub hosts thousands of datasets, offering exciting opportunities for language model training and evaluation. However, datasets for a specific task type often have different sche...	[]	Test
25,171	16	Title: FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition Abstract: We present FastPoseGait, an open-source toolbox for pose-based gait recognition based on PyTorch. Our toolbox supports a set of cutting-edge pose-based gait recognition algorithms and a variety of related benchmarks. Unlike...	[ 17776 ]	Test
25,172	16	Title: Sketching the Future (STF): Applying Conditional Control Techniques to Text-to-Video Models Abstract: The proliferation of video content demands efficient and flexible neural network based approaches for generating new video content. In this paper, we propose a novel approach that combines zero-shot text-to-vide...	[ 17526, 34074, 1318 ]	Train
25,173	16	Title: CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos Abstract: Road traffic scene reconstruction from videos has been desirable by road safety regulators, city planners, researchers, and autonomous driving technology developers. However, it is expensive and unnecessary to cover ev...	[ 18283, 25803 ]	Train
25,174	24	Title: GNN-based Passenger Request Prediction Abstract: Passenger request prediction is essential for operations planning, control, and management in ride-sharing platforms. While the demand prediction problem has been studied extensively, the Origin-Destination (OD) ﬂow prediction of passengers has received less atten...	[ 40081, 40636 ]	Validation
25,175	31	Title: Detection and Classification of Novel Attacks and Anomaly in IoT Network using Rule based Deep Learning Model Abstract: Attackers are now using sophisticated techniques, like polymorphism, to change the attack pattern for each new attack. Thus, the detection of novel attacks has become the biggest challenge for ...	[]	Test
25,176	16	Title: A Unified Framework for 3D Point Cloud Visual Grounding Abstract: 3D point cloud visual grounding plays a critical role in 3D scene comprehension, encompassing 3D referring expression comprehension (3DREC) and segmentation (3DRES). We argue that 3DREC and 3DRES should be unified in one framework, which is also a...	[]	Train
25,177	16	Title: Streaming Object Detection on Fisheye Cameras for Automatic Parking Abstract: Fisheye cameras are widely employed in automatic parking, and the video stream object detection (VSOD) of the fisheye camera is a fundamental perception function to ensure the safe operation of vehicles. In past research work, the diff...	[]	Train

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