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• Zero-Shot Spatio-Temporal Action Detection by Enhancing Context-Relation Capability of Vision-Language Models
  crossref Yasunori Babazaki, Takashi Shibata, Toru Takahashi 2024-12-01T16:53:28Z 置信度 0.66
• DRESS : Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
  We present DRESS , a large vision language model (LVLM) that innovatively exploits Natural Language feedback (NLF) from Large Language Models to enhance its alignment and interactions by addressing two key limitations in the state-of-the-art LVLMs. First, prio…
  crossref Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji 等 2024-09-16T13:34:53Z 置信度 0.82 cs.aics.lgcs.clcomputer and information sciencescomputer science
• A little less conversation – On the completeness of discourse-initial action-guiding subsententials
  This study analyzes the relation between utterances and human activities with a view to determining how and under what conditions discourse-initial verbless utterances can be considered pragmatically, semantically, and grammatically complete. The study is empi…
  crossref Simon Borchmann 2024-03-05T01:05:40Z 置信度 0.82 cognitive psychologytaskrehabilitationpsychologycomputational neuroscience
• Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR)
  crossref 2024-09-20T19:33:08Z 置信度 0.66
• Enhancing temporal action localization in an end-to-end network through estimation error incorporation
  crossref Mozhgan Mokari, Khosrow Haj Sadeghi 2024-03-27T16:42:28Z 置信度 0.63
• Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment
  Weakly-supervised action segmentation is a task of learning to partition a long video into several action segments, where training videos are only accompanied by transcripts (ordered list of actions). Most of existing methods need to infer pseudo segmentation …
  crossref Angchi Xu, Wei-Shi Zheng 2024-09-16T17:34:53Z 置信度 0.82 cs.aics.lgcs.cvcomputer and information sciencescs.cl
• Predicting action type from visual perception: a kinematic study.
  The planning of a movement toward an object influences the visual perception of the object properties relevant for the action. This suggests a bidirectional interaction between the motor and the visual systems. In the present study, we investigate whether this…
  crossref Annalisa Bosco, Elena Aggius Vella, Patrizia Fattori 2024-09-27T20:35:55Z 置信度 0.82 taskphysical medicine and rehabilitationmotor imagerycomputer vision and pattern recognitioncognitive psychology
• AP-TransNet: a polarized transformer based aerial human action recognition framework
  crossref Chhavi Dhiman, Anunay Varshney, Ved Vyapak 2024-04-10T11:01:46Z 置信度 0.63
• FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation
  We study supervised action segmentation, whose goal is to predict framewise action labels of a video. To capture tem-poral dependencies over long horizons, prior works either improve framewise features with transformer or refine frame-wise predictions with lea…
  crossref Zijia Lu, Ehsan Elhamifar 2024-09-16T17:34:53Z 置信度 0.82 computer and information sciencescs.aics.lgcs.cvartificial intelligence
• ε-ViLM : Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer
  To build scalable models for the challenging real-world tasks, it is important to learn from diverse, multi-modal data in various forms (e.g., videos, text, images). Amongst the existing works, a plethora of them have been focusing on leveraging large but cumb…
  crossref Jacob Zhiyuan Fang, Skyler Zheng, Vasu Sharma, Robinson Piramuthu 2024-04-16T17:17:35Z 置信度 0.82 computer and information sciencescs.lgcs.aiartificial intelligencecomputer science
• The Routledge Handbook of Language Teacher Action Research
  Decades of classroom interaction research has shown that the ways teachers ask questions, respond to student utterances, use gestures, and manage multilingual resources can facilitate or hinder language learning opportunities. These research findings, however,…
  crossref Anne Burns, Kenan Dikilitaş 2024-12-02T13:08:45Z 置信度 0.82 psychologycognitive sciencemathematics educationneurosciencemental health
• Improving Vision-Language Cross-Lingual Transfer with Scheduled Unfreezing
  Large-scale pretraining of vision-language (VL) models brought dramatic improvements across numerous tasks, from visual questionanswering to cross-modal retrieval but these gains are mostly limited to English.Massively multilingual VL encoder models (mVLMs) ho…
  crossref Max Reinhardt, Gregor Geigle, Radu Timofte, Goran Glavaš 2024-09-20T19:33:08Z 置信度 0.82 cs.aicomputer and information sciencescs.lgcs.clcs.cv
• Workplace Culture
  Chapter 3 unpacks the notion of workplace culture. It explores some of the differences in communicative behaviour displayed by members in different workplaces. The notion of workplace culture is introduced to help conceptualise some of these observable (as wel…
  crossref Stephanie Schnurr 2024-06-24T09:08:29Z 置信度 0.73 gr-qcphilosophymath-phepistemologyastrobiology
• Proceedings of the First International Workshop on Vision-Language Models for Biomedical Applications
  crossref 2024-10-02T18:18:42Z 置信度 0.66
• JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models
  Leveraging few-shot datasets in prompt learning for Vision-Language Models eliminates the need for manual prompt engineering while highlighting the necessity of accurate annotations for the labels. However, high-level or complex label noise challenges prompt l…
  crossref Yuncheng Guo, Xiaodong Gu 2024-09-16T13:34:53Z 置信度 0.82 cs.aics.lgcomputer and information sciencescs.clcs.cv
• Action research as an avenue for exploring teacher wellbeing
  Language teaching can potentially be (a) replete with joy, meaning and purpose; (b) wreaked with stress, frustration and ‘what-did-I-get-myself-into’ questioning; or (c) a relative combination of (a) and (b). The potentiality that wins out will likely be conti…
  crossref Tammy Gregersen 2024-12-02T13:08:45Z 置信度 0.82 psychologycomputer sciencedata sciencemathematics educationsociology
• PreLAR: World Model Pre-training with Learnable Action Representation
  crossref Lixuan Zhang, Meina Kan, Shiguang Shan, Xilin Chen 2024-10-30T23:02:27Z 置信度 0.63
• Teacher and learner autonomy through action research
  The chapter explores and discusses autonomy in relation to how action research (AR) might support teacher and learner autonomy development. Autonomy in language teaching can be developed through research engagement of teachers and learners where they are criti…
  crossref Rhian Webb, Simon Mumford 2024-12-02T13:08:45Z 置信度 0.82 psychologycognitive sciencemathematics educationknowledge managementsociology
• VCoder: Versatile Vision Encoders for Multimodal Large Language Models
  Humans possess the remarkable skill of Visual Perception, the ability to see and understand the seen, helping them make sense of the visual world and, in turn, reason. Multimodal Large Language Models (MLLM) have recently achieved impressive performance on vis…
  crossref Jitesh Jain, Jianwei Yang, Humphrey Shi 2024-09-16T17:34:53Z 置信度 0.82 computer and information sciencescs.cvcs.aicomputer vision and pattern recognitionartificial intelligence
• Swiping colors in virtual reality: Color categories in action
  We adapted a paradigm from animal learning to investigate the stability of color category borders in humans using a VR videogame task. Observers held a colored saber in each hand and swiped approaching cubes which contained a colored stripe. Observers were ins…
  crossref Avi M. Aizenman, Zoe Goll, Karl R. Gegenfurtner 2024-09-27T19:32:15Z 置信度 0.82 neuromorphic computingconsciousnessai governancebenchmarkmath-ph
• SpATr: MoCap 3D human action recognition based on spiral auto-encoder and transformer network
  crossref Hamza Bouzid, Lahoucine Ballihi 2024-02-17T05:10:29Z 置信度 0.63
• Leveraging Large Vision-Language Model for Better Automatic Web GUI Testing
  With the rapid development of web technology, more and more software applications have become web-based in the past decades. To ensure software quality and user experience, various techniques have been proposed to automatically test web applications by interac…
  crossref Siyi Wang, Sinan Wang, Yujia Fan, Xiaolei Li 等 2024-12-19T14:16:15Z 置信度 0.82 computer sciencecs.lgcs.aiartificial intelligenceneuroscience
• Action planning biases interactions between visual working memory representations
  Recent studies suggest that planning an action on an object in visual working memory (VWM) can modulate its sensory representations. In this study, we investigated how planning an action on objects in VWM influences the way in which VWM representations interac…
  crossref Caterina Trentin, Christian N.L. Olivers, Heleen A. Slagter 2024-09-27T22:31:22Z 置信度 0.82 psychologyneurosciencecognitive psychologyroboticsbiology
• Detecting Cyberbullying in Visual Content: A Large Vision-Language Model Approach
  Cyberbullying has rapidly evolved with the evolution of online platforms, transcending traditional text-based forms to include images and other multimedia content. Two major challenges are identified in detecting cyberbullying images: recognizing cyberbullying…
  crossref Jaden Mu, David Cong, Helen Qin, Ishan Ajay 等 2025-03-04T18:39:11Z 置信度 0.82 cs.aicomputer sciencecs.cvcomputer and information sciencescs.lg
• Efficient Adapting for Vision-language Foundation Model in Edge Computing Based on Personalized and Multi-Granularity Federated Learning
  Foundation model (FM) has shown great potential in various downstream tasks, such as CLIP, a vision-language pre-trained model that effectively aligns semantics in text and image spaces. Federated learning (FL), as a distributed training paradigm, can provide …
  crossref Fei Gao, Yunfeng Zhao, Chao Qiu, Xiaofei Wang 2024-08-13T17:19:39Z 置信度 0.82 computer and information sciencescomputer sciencecs.aicloud computingcs.lg
• VerbCLIP: Improving Verb Understanding in Vision-Language Models with Compositional Structures
  Verbs describe the dynamics of interactions between people, objects, and their environments.They play a crucial role in language formation and understanding.Nonetheless, recent vision-language models like CLIP predominantly rely on nouns and have a limited acc…
  crossref Hadi Wazni, Kin Ian Lo, Mehrnoosh Sadrzadeh 2024-09-20T19:33:08Z 置信度 0.82 cs.lgcomputer and information sciencescs.cvcs.aics.cl
• SoMeLVLM: A Large Vision Language Model for Social Media Processing
  The growth of social media, characterized by its multimodal nature, has led to the emergence of diverse phenomena and challenges, which calls for an effective approach to uniformly solve automated tasks.The powerful Large Vision Language Models make it possibl…
  crossref Xinnong Zhang, Haoyu Kuang, Xinyi Mou, Hanjia Lyu 等 2024-09-20T19:33:08Z 置信度 0.82 cs.aics.clcomputer sciencecomputer and information sciencescs.lg
• An action research about the effects of social-emotional learning in a second language acquisition teacher preparation course
  The current action research explored the effects of social-emotional learning (SEL) in an online second language acquisition (SLA) graduate course. Employing the CASEL (2010) framework as the lens, I examined the following research question: What effects does …
  crossref 2024-12-18T16:26:30Z 置信度 0.82 psychologymathematics educationmedical educationmental healthsocial and behavioral sciences
• Flexible allocation of visual selection and action planning during visual working memory
  Visual information maintained in working memory can be used to plan for and guide upcoming behavior. Yet, in daily life, the order in which visual information is encoded into working memory does not always correspond with the order in which this information wi…
  crossref Rose Nasrawi, Freek van Ede 2024-09-27T20:33:11Z 置信度 0.78 psychologyneurosciencesocial and behavioral sciencesbrain-computer interfacecognitive psychology
• OmDet: Large‐scale vision‐language multi‐dataset pre‐training with multimodal detection network
  Abstract The advancement of object detection (OD) in open‐vocabulary and open‐world scenarios is a critical challenge in computer vision. OmDet, a novel language‐aware object detection architecture and an innovative training mechanism that harnesses continual …
  crossref Tiancheng Zhao, Peng Liu, Kyusong Lee 2024-01-24T23:18:46Z 置信度 0.82 artificial intelligencecs.cvcomputer sciencecs.aics.lg
• Integrating Computer Vision and language model for interactive AI - Robot
  This research presents an innovative approach to integrating robotic systems with artificial intelligence, addressing long-standing challenges in their functionality. Utilizing YOLOv9 object detection model, Large Language Model LLM, Retrieval Augmented Genera…
  crossref Holan K. Omeed, Ahmed O. Alani, Ibrahim H. Rasul, Abubakar M. Ashir 等 2024-06-12T17:26:21Z 置信度 0.82 computer sciencecs.aihuman-computer interactionengineeringcomputer and information sciences
• Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model
  Pre-trained vision-language models like CLIP have shown powerful zero-shot inference ability via image-text matching and prove to be strong few-shot learners in various downstream tasks. However, in real-world scenarios, adapting CLIP to downstream tasks may e…
  crossref Jiang-Xin Shi, Chi Zhang, Tong Wei, Yu-Feng Li 2024-08-25T04:54:55Z 置信度 0.82 cs.lgcs.cvcs.aiartificial intelligencecomputer and information sciences
• Neural Sign Actors: A diffusion model for 3D sign language production from text
  Sign Languages (SL) serve as the primary mode of communication for the Deaf and Hard of Hearing communities. Deep learning methods for SL recognition and translation have achieved promising results. However, Sign Language Production (SLP) poses a challenge as …
  crossref Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas, Guanxiong Sun 等 2024-09-16T17:34:53Z 置信度 0.82 cs.lgcs.cvcomputer sciencecs.aics.cl
• Open-Vocabulary Panoptic Segmentation Using Bert Pre-Training of Vision-Language Multiway Transformer Model
  Open-vocabulary panoptic segmentation remains a challenging problem. One of the biggest difficulties lies in training models to generalize to an unlimited number of classes using limited categorized training data. Recent popular methods involve large-scale vis…
  crossref Yi-Chia Chen, Wei-Hua Li, Chu-Song Chen 2024-09-27T14:34:45Z 置信度 0.82 computer and information sciencescs.lgcs.cvcs.aics.cl
• Vision-language model-driven scene understanding and robotic object manipulation
  Humans often use natural language instructions to control and interact with robots for task execution. This poses a big challenge to robots that need to not only parse and understand human instructions but also realise semantic understanding of an unknown envi…
  crossref Sichao Liu, Jianjing Zhang, Robert X. Gao, Xi Vincent Wang 等 2024-10-23T13:40:16Z 置信度 0.82 cs.aiartificial intelligencecs.cvcomputer sciencerobotics
• Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models
  Language and Vision-Language Models (LLMs/VLMs) have revolutionized the field of AI by their ability to generate human-like text and understand images, but ensuring their reliability is crucial.This paper aims to evaluate the ability of LLMs (GPT4, GPT-3.5, LL…
  crossref Tobias Groot, Matias Valdenegro - Toro 2024-07-27T22:52:20Z 置信度 0.82 cs.aics.clcs.lgcomputer vision and pattern recognitioncomputer and information sciences
• Professional vision in German as a Second Language (GSL) teacher education
  Authentic insights into the German as a Second Language (GSL) classroom and the development of aspects of professional vision may contribute to developing action-related methodological teacher competencies for teaching GSL as well as teaching subjects to multi…
  crossref Christine Stahl, Kristina Peuschel 2024-11-25T10:11:24Z 置信度 0.82 psychologymathematics educationcognitive scienceneurosciencemedical education
• Pixels to Phrases: Evolution of Vision Language Models
  Vision language models (VLMs) are transforming how we perceive and interact with visual data by bridging the gap between natural language understanding and visual perception. This paper provides a comprehensive overview of VLMs and their applications in text-b…
  crossref Jay Oza, Gitesh Kambli, Abhijit Patil 2024-05-30T16:07:45Z 置信度 0.82 computer scienceartificial intelligencecs.aidata sciencetransformative learning
• Striving for positive change in second language education
  This chapter discusses the potential of critical action research (CAR) in English language teaching (ELT). While traditional action Rrsearch (AR) allows educators to study language teaching and learning in real-world settings, there is a risk of overlooking im…
  crossref Gregory Hadley 2024-12-02T13:08:45Z 置信度 0.82 psychologymathematics educationcognitive sciencepsychological interventionengineering ethics
• Tuning Vision-Language Models and Generative Models with Knowledge Graph
  <strong> Introduction </strong> The fusion of Vision-Language Models ( <strong> VLMs </strong> ), Generative Models, and Knowledge Graphs ( <strong> KGs </strong> ) is reshaping how artificial intelligence (AI) understands a…
  crossref Vaibhav Khobragade 2025-12-09T11:00:13Z 置信度 0.80 generative grammarengineering ethicsmedical physicstransformative learninginterpretability
• Review for "Zero‐shot animal behaviour classification with vision‐language foundation models"
  crossref 2025-05-21T09:05:51Z 置信度 0.66
• Pixels to Phrases: Evolution of Vision Language Models
  Vision language models (VLMs) are transforming how we perceive and interact with visual data by bridging the gap between natural language understanding and visual perception. This paper provides a comprehensive overview of VLMs and their applications in text-b…
  crossref Jay Oza, Gitesh Kambli, Abhijit Patil 2024-03-18T12:47:53Z 置信度 0.82 computer scienceartificial intelligencecs.aidata sciencetransformative learning
• Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
  crossref 2026-01-31T21:36:27Z 置信度 0.66
• Tuning Vision-Language Models and Generative Models with Knowledge Graph
  <strong> Introduction </strong> The fusion of Vision-Language Models ( <strong> VLMs </strong> ), Generative Models, and Knowledge Graphs ( <strong> KGs </strong> ) is reshaping how artificial intelligence (AI) understands a…
  crossref Vaibhav Khobragade 2026-08-30T11:45:11Z 置信度 0.80 generative grammarengineering ethicsmedical physicstransformative learninginterpretability
• Tuning Vision-Language Models and Generative Models with Knowledge Graph
  <strong> Introduction </strong> The fusion of Vision-Language Models ( <strong> VLMs </strong> ), Generative Models, and Knowledge Graphs ( <strong> KGs </strong> ) is reshaping how artificial intelligence (AI) understands a…
  crossref Vaibhav Khobragade 2024-04-02T00:52:24Z 置信度 0.80 generative grammarengineering ethicsmedical physicstransformative learninginterpretability
• Tuning Vision-Language Models and Generative Models with Knowledge Graph
  <strong> Introduction </strong> The fusion of Vision-Language Models ( <strong> VLMs </strong> ), Generative Models, and Knowledge Graphs ( <strong> KGs </strong> ) is reshaping how artificial intelligence (AI) understands a…
  crossref Vaibhav Khobragade 2025-07-08T06:01:36Z 置信度 0.80 generative grammarengineering ethicsmedical physicstransformative learninginterpretability
• Enhancing Spatial Reasoning in Large Vision-Language Models
  Abstract In this paper, we present a novel approach, Spatial-Aware Language Enhancement (SALE) , designed to improve the spatial reasoning capabilities of large language models (LLMs) using structured textual descriptions, without the need for visual inputs. S…
  crossref Shiquan Tao, Arthit Wongsawat 2024-12-03T02:32:23Z 置信度 0.82 computer and information sciencescs.aics.lgcomputer scienceartificial intelligence
• Vision language distillation by clustering bitrajectory matching
  Dataset distillation is often used to create compact datasets that can be used to achieve similar training performance, making it a good choice for addressing the challenges of data storage cost and training cost. However, existing distillation method are gene…
  crossref Jiaming Zhou, Shangjiaqi Hao, Qinghao Zhang 2024-09-13T06:57:09Z 置信度 0.82 cs.lgcomputer and information sciencescs.aics.cvcomputer science
• Identities at Work
  Chapter 5 focuses on the complex notion of identity and explores some of the ways in which the notion of ‘who we are’ is particularly relevant in a professional context. The chapter analyses identity construction and negotiation of individuals, as well as comp…
  crossref Stephanie Schnurr 2024-06-24T09:08:29Z 置信度 0.73 varietyperspectivesynthetic biologyastro-ph.imblockchain
• Researching Professional Communication
  Chapter 8 brings together the various aspects and strands of professional communication discussed throughout the book and provides some advice and concrete tips for designing and executing small scale research projects on professional communication. It provide…
  crossref Stephanie Schnurr 2024-06-24T09:08:29Z 置信度 0.78 varietysoftwarecs.hccs.seinterface
• Sonic VisionLM: Playing Sound with Vision Language Models
  There has been a growing interest in the task of generating sound for silent videos, primarily because of its prac-ticality in streamlining video post-production. However, existing methods for video-sound generation attempt to di-rectly create sound from visua…
  crossref Zhifeng Xie, Shengye Yu, Qile He, Mengtian Li 2024-09-16T13:34:53Z 置信度 0.82 cs.cvcs.aics.lgcs.sdeess.as
• Extension of a computational model of a class of orientation illusions
  Polarity-dependent orientation illusions constitute a class of illusions in which the impression of orientation does not depend only on geometrical relations between its elements, but also on the relations between their luminances. Several examples of such fig…
  crossref Dejan Todorović 2024-07-26T10:12:33Z 置信度 0.82 cs.necs.lgcognitive psychologystat.mlartificial neural network
• Gender at Work
  Chapter 6 illustrates some of the ways in which gender is an important aspect of professional communication. Not only do gender stereotypes exist about how women and men supposedly talk and act, but these stereotypical expectations and their underlying ideolog…
  crossref Stephanie Schnurr 2024-06-24T09:08:29Z 置信度 0.73 sociologycognitive scienceconsciousnesspsychologytransparency
• BridgeCLIP: Automatic Bridge Inspection by Utilizing Vision-Language Model
  crossref Powei Liao, Gaku Nakano 2024-12-03T00:25:05Z 置信度 0.66
• Culture at Work
  Chapter 4 zooms in on the role of national culture in professional encounters. It challenges essentialist assumptions that tend to treat culture as the default explanation for a wide range of phenomena. Drawing on examples of professional communication from di…
  crossref Stephanie Schnurr 2024-06-24T09:08:29Z 置信度 0.73 sociologygenerative grammarai safetypsychologyepistemology
• Improving Fairness using Vision-Language Driven Image Augmentation
  Fairness is crucial when training a deep-learning discriminative model, especially in the facial domain. Models tend to correlate specific characteristics (such as age and skin color) with unrelated attributes (downstream tasks), resulting in biases which do n…
  crossref Moreno D’Incà, Christos Tzelepis, Ioannis Patras, Nicu Sebe 2024-04-09T17:36:09Z 置信度 0.82 cs.lgcs.aics.cvcs.clartificial intelligence
• Label Propagation for Zero-shot Classification with Vision-Language Models
  Vision-Language Models (VLMs) have demonstrated im-pressive performance on zero-shot classification, i.e. classi-fication when provided merely with a list of class names. In this paper, we tackle the case of zero-shot classification in the presence of unlabele…
  crossref Vladan Stojnić, Yannis Kalantidis, Giorgos Tolias 2024-09-16T17:34:53Z 置信度 0.82 cs.lgcs.cvcomputer and information sciencescomputer vision and pattern recognitioncs.ai
• Perspectives on Professionalism “Reflection-In-Action” And “Reflection-On-Action” Practice in Foreign Language Teaching
  This work is divided into two main parts: the first discusses the term ‘professionalism’ in general, with particular focus on the idea of professionalism in education and teaching. The second part discusses my own use of a type of professional practice called …
  crossref Dr. Abeer Aldheferi 2025-01-02T11:11:07Z 置信度 0.82 mathematics educationmedical educationedge computingpsychological interventionsoftware engineering
• Research on Foreign Language Translation Technology Based on Computer Vision and Natural Language Processing
  crossref Lixin Zhang 2026-01-22T20:58:30Z 置信度 0.66
• Sign Language Animator: A Platform for Multilingual Sign Language Synthesis
  Sign Language serves as a vital communication mode for individuals facing challenges with spoken language. This paper outlines the development of a web-based Sign Language Animator aimed at bridging the communication gap between sign language and spoken langua…
  crossref Ouargani Younes, El Khattabi Noussaima 2024-08-12T17:25:27Z 置信度 0.78 cs.cllarge language modelseess.ascs.sdnatural language processing
• 2D human skeleton action recognition with spatial constraints
  Abstract Human actions are predominantly presented in 2D format in video surveillance scenarios, which hinders the accurate determination of action details not apparent in 2D data. Depth estimation can aid human action recognition tasks, enhancing accuracy wit…
  crossref Lei Wang, Jianwei Zhang, Wenbing Yang, Song Gu 等 2024-07-12T00:09:09Z 置信度 0.82 artificial intelligencecomputer and information sciencescs.cvcomputer vision and pattern recognitionconvolutional neural network
• 13 Moving On
  crossref 2024-10-14T00:07:47Z 置信度 0.59
• 8 Practice Aikido
  crossref 2024-10-14T00:07:47Z 置信度 0.59
• Facial Action Units and Personality Traits: An Explorative Approach through Computer Vision
  The study intends to examine whether personality traits are reflected in facialbehaviour during dyadic interactions. Facial Action Units (FAUs) of Facial Action CodingSystem (FACS) are calibrated through a computer vision platform (OpenFace 2.0).Customised big…
  crossref Sibin Raj K, Manas K Mandal 2024-06-22T07:16:44Z 置信度 0.82 social and behavioral sciencesneuromorphic computingknowledge managementindustry 4.0ai governance
• Towards Better Vision-Inspired Vision-Language Models
  Vision-language (VL) models have achieved unprece-dented success recently, in which the connection module is the key to bridge the modality gap. Nevertheless, the abun-dant visual clues are not sufficiently exploited in most existing methods. On the vision sid…
  crossref Yun-Hao Cao, Kaixiang Ji, Ziyuan Huang, Chuanyang Zheng 等 2024-09-16T17:34:53Z 置信度 0.82 cs.cvcs.lgcs.aicomputer and information sciencesartificial intelligence
• 10 Display Chutzpah
  crossref 2024-10-14T00:07:47Z 置信度 0.59
• 11 Cultivate Fingerspitzengefühl
  crossref 2024-10-14T00:07:47Z 置信度 0.59
• ANIMAL IMAGE CLASSIFICATION USING THE VISION TRANSFORMER MODEL
  Automatic animal identification through image analysis holds immense value across various fields. This study evaluates the effectiveness of the Vision Transformer (ViT) model for this task. We trained a ViT model on a dataset of animal images and assessed its …
  crossref Mahdi Rezapour 2024-08-20T13:08:43Z 置信度 0.78 computer sciencecs.cvcomputer and information sciencescs.lgconvolutional neural network
• Leveraging Vision and Language Generative Models to Understand the Visual Cortex
  Understanding the functional organization of the higher visual cortex is a fundamental goal in neuroscience. Traditional approaches have focused on mapping the visual and semantic selectivity of neural populations using hand-selected, non-naturalistic stimuli,…
  crossref Andrew Luo, Margaret Henderson, Leila Wehbe, Michael Tarr 2024-09-27T21:32:11Z 置信度 0.82 artificial intelligencecomputer sciencecs.cvcs.lgcs.ai
• Circle time in preschool as a practice for developing language support between teachers and children using the structured ELSA model
  This paper focuses on how early childhood teachers developed deeper understandings of their communication support for children in everyday practice through professional learning conversations by introducing the Early Language Support Activity (ELSA) model. Wit…
  crossref Karin Rönnerman, Ann Nordberg 2024-10-28T10:28:50Z 置信度 0.82 psychologycomputer sciencemathematics educationsociologycognitive psychology
• A modular image-computable psychophysical spatial vision model
  To explain the initial encoding of pattern information in the human visual system, the standard psychophysical spatial vision model is based on channels specific to spatial frequency and orientation, followed by divisive normalization (contrast gain-control). …
  crossref Jannik Reichert, Felix A. Wichmann 2024-09-27T19:37:08Z 置信度 0.82 artificial intelligencecomputer sciencecs.lgcomputer and information sciencescs.ai
• React: recognize every action everywhere all at once
  Abstract In the realm of computer vision, Group Activity Recognition (GAR) plays a vital role, finding applications in sports video analysis, surveillance, and social scene understanding. This paper introduces R ecognize E very Act ion Everywhere All At Once (…
  crossref Naga V. S. Raviteja Chappa, Pha Nguyen, Page Daniel Dobbs, Khoa Luu 2024-07-20T13:01:41Z 置信度 0.82 computer and information sciencesartificial intelligencecs.aicomputer sciencecs.cv
• Moment preserving tomographic image reconstruction model
  crossref Tibor Lukić, Péter Balázs 2024-04-23T15:21:39Z 置信度 0.59
• Egocentric Vision Action Recognition: Performance Analysis on the Coer_Egovision Dataset
  Egocentric activity recognition, also known as first-person vision, captures human actions and activities from the perspective of a wearable camera, providing a personalized and contextualized viewpoint. This unique perspective is crucial for various real-worl…
  crossref Himanshu Gupta, Vivek Kumar 2024-04-03T17:36:12Z 置信度 0.82 computer scienceartificial intelligencecomputer and information sciencescs.lgcs.ai
• Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
  Vision-language foundation models have shown remark-able performance in various zero-shot settings such as im-age retrieval, classification, or captioning. But so far, those models seem to fall behind when it comes to zero-shot lo-calization of referential exp…
  crossref Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne 2024-09-16T13:34:53Z 置信度 0.82 cs.aics.lgcomputer and information sciencescs.cvartificial intelligence
• Iterated Learning Improves Compositionality in Large Vision-Language Models
  A fundamental characteristic common to both human vision and natural language is their compositional nature. Yet, despite the performance gains contributed by large vision and language pretraining, recent investigations find that most-if not all-our state-of-t…
  crossref Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna 2024-09-16T17:34:53Z 置信度 0.82 cs.aics.lgcs.cvartificial intelligencecomputer and information sciences
• Mapping Natural Language Intents to User Interfaces through Vision-Language Models
  Efficiently navigating through mobile applications to accomplish specific tasks can be time-consuming and challenging, particularly for users who are unfamiliar with the app or faced with intricate menu structures. Simplifying access to a particular screen is …
  crossref Halima Abukadah, Moghis Fereidouni, A.B. Siddique 2024-03-22T17:57:11Z 置信度 0.82 computer sciencecs.aics.lgcomputer and information sciencescs.cv
• MMA: Multi-Modal Adapter for Vision-Language Models
  Pretrained Vision-Language Models (VLMs) have served as excellent foundation models for transfer learning in diverse downstream tasks. However, tuning VLMs for few-shot generalization tasks faces a discrimination - generalization dilemma, i.e., general knowled…
  crossref Lingxiao Yang, Ru-Yuan Zhang, Yanchen Wang, Xiaohua Xie 2024-09-16T17:34:53Z 置信度 0.82 cs.aics.lgcomputer and information sciencescomputer scienceartificial intelligence
• POTLoc: Pseudo-label Oriented Transformer for point-supervised temporal Action Localization
  crossref Elahe Vahdani, Yingli Tian 2024-05-28T20:44:50Z 置信度 0.63
• Embedding Task Structure for Action Detection
  We present a straightforward, flexible method to enhance the accuracy and quality of action detection by expressing temporal and structural relationships of actions in the loss function of a deep network. We describe ways to represent otherwise implicit struct…
  crossref Michael Peven, Gregory D. Hager 2024-04-09T17:36:09Z 置信度 0.78 cs.lgcs.aics.cvcomputer and information sciencescomputer vision and pattern recognition
• Repetitive Action Counting with Motion Feature Learning
  Repetitive action counting aims to count the number of repetitive actions in a video. The critical challenge of this task is to uncover the periodic pattern between repetitive actions by computing feature similarity between frames. However, existing methods on…
  crossref Xinjie Li, Huijuan Xu 2024-04-09T17:36:09Z 置信度 0.82 cs.cvcs.lgcomputer and information sciencescs.sdbrain-computer interface
• ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models
  Although soft prompt tuning is effective in efficiently adapting Vision-Language (V&L) models for downstream tasks, it shows limitations in dealing with distribution shifts. We address this issue with Attribute-Guided Prompt Tuning (ArGue), making three key co…
  crossref Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang 2024-09-16T13:34:53Z 置信度 0.82 cs.aicomputer and information sciencescs.lgcs.clcs.cv
• Review of: "Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization"
  To better align language with visual sequence in vision-language-navigation, the paper proposes a Bayesian Optimization-based adversarial optimization framework.This method creates ne-grained vision negatives as data augmentation to enhance the performance of …
  crossref Wenguan Wang 2024-12-24T06:03:01Z 置信度 0.82 convolutional neural networkcs.lgtaskeess.ascs.cl
• CTM: Cross-time temporal module for fine-grained action recognition
  crossref Huifang Qian, Jialun Zhang, Jianping Yi, Zhenyu Shi 等 2024-04-09T02:48:32Z 置信度 0.63
• AAPL: Adding Attributes to Prompt Learning for Vision-Language Models
  Recent advances in large pre-trained vision-language models have demonstrated remarkable performance on zeroshot downstream tasks. Building upon this, recent studies, such as CoOp and CoCoOp, have proposed the use of prompt learning, where context within a pro…
  crossref Gahyeon Kim, Sohee Kim, Seokju Lee 2024-09-27T18:27:42Z 置信度 0.82 cs.lgcs.aicomputer sciencecs.cvartificial intelligence
• LLMs are Good Action Recognizers
  Skeleton-based action recognition has attracted lots of research attention. Recently, to build an accurate skeleton-based action recognizer, a variety of works have been pro-posed. Among them, some works use large model architectures as backbones of their reco…
  crossref Haoxuan Qu, Yujun Cai, Jun Liu 2024-09-16T17:34:53Z 置信度 0.82 cs.aicomputer and information sciencescs.lgcomputer sciencecs.cv
• Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
  crossref Avshalom Manevich, Reut Tsarfaty 2024-09-20T15:33:08Z 置信度 0.66
• Multi-level supervised vision language model based steel surface defect detection
  The shape of defects on steel surfaces is highly variable and training samples are limited, making it a significant challenge to transfer a high-performance pretrained vision language model to steel surface defect detection. Therefore, a Multi-level Supervised…
  crossref Ying Tan, Jing Shan, Jiaying Wang 2024-02-09T17:54:34Z 置信度 0.82 cs.cvcs.lgeess.ascomputer and information sciencescs.cl
• DeepPTM: Protein Post-translational Modification Prediction from Protein Sequences by Combining Deep Protein Language Model with Vision Transformers
  Introduction: More recent self-supervised deep language models, such as Bidirectional Encoder Representations from Transformers (BERT), have performed the best on some language tasks by contextualizing word embeddings for a better dynamic representation. Their…
  crossref Necla Nisa Soylu, Emre Sefer 2024-02-02T06:36:46Z 置信度 0.82 cs.lgcomputer scienceartificial intelligencecs.aibiology
• Review of: "LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval"
  crossref Werner Bailer 2024-12-21T13:33:06Z 置信度 0.66
• Feature Extraction of Jumping Action in Aerobics Based on Machine Vision
  crossref Minmi Xu 2026-01-22T20:58:30Z 置信度 0.66
• Action research into learner and teacher motivation
  Many studies on additional language (L+) motivation tend to prioritise large-scale and quantitative analyses, eschewing more valuable, nuanced, and emic insights offered by smaller-scale practitioner research. In the current chapter, we endeavour to show that …
  crossref Richard J Sampson, Richard S Pinner 2024-12-02T13:08:45Z 置信度 0.82 psychologycomputer sciencemathematics educationgenerative grammarsociology
• LLMFormer: Large Language Model for Open-Vocabulary Semantic Segmentation
  crossref Hengcan Shi, Son Duy Dao, Jianfei Cai 2024-08-16T15:02:18Z 置信度 0.63
• TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection
  crossref Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun 等 2025-05-27T11:46:24Z 置信度 0.66
• Unpacking the roles of action research facilitators
  Action research (AR) facilitators play multifaceted roles in motivating and guiding language teachers to examine and enhance their classroom practices through AR. To illustrate these roles, this chapter presents a qualitative case study of an AR facilitator’s …
  crossref Rui Yuan, Kailun Wang, Hong Zhang 2024-12-02T13:08:45Z 置信度 0.82 psychologymathematics educationknowledge managementgenerative grammarneuroscience
• Unified Generative Vision-Language Understanding
  This paper introduces an innovative learning framework where linguistic representations are inherently grounded in visual perceptions, circumventing the need for predefined categorical structures. The proposed method, termed Generative Semantic Embedding Model…
  crossref Jayden Carter, Arielle Goldstein, Jannat Roy 2024-12-02T02:00:11Z 置信度 0.82 computer and information sciencescomputer scienceartificial intelligencecs.aics.lg
• When Large Vision-Language Models Meet Person Re-Identification
  Large Vision-Language Models (LVLMs) that incorporate visual models and Large Language Models (LLMs) have achieved impressive results across various cross-modal understanding and reasoning tasks. In recent years, person re-identification (ReID) has also starte…
  crossref Qizao Wang, Bin Li, Xiangyang Xue 2024-12-11T01:21:05Z 置信度 0.82 cs.aicomputer and information sciencescs.clcs.lgcs.cv
• Exploring Interactive Semantic Alignment for Efficient HOI Detection with Vision-language Model
  Human-Object Interaction (HOI) detection aims to localize human-object pairs and comprehend their interactions. Recently, two-stage transformer-based methods have demonstrated competitive performance. However, these methods frequently focus on object appearanc…
  crossref Jihao Dong, Hua Yang, Renjie Pan 2024-09-30T17:24:16Z 置信度 0.82 cs.cvcs.lgcs.aicomputer and information sciencescs.cl
• Robotic State Recognition with Image-to-Text Retrieval Task of Pre-Trained Vision-Language Model and Black-Box Optimization
  State recognition of the environment and objects, such as the open/closed state of doors and the on/off of lights, is indispensable for robots that perform daily life support and security tasks. Until now, state recognition methods have been based on training …
  crossref Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa, Kei Okada 等 2024-12-03T18:54:29Z 置信度 0.82 artificial intelligencecs.lgcomputer sciencecomputer and information sciencescs.ai
• Embodying Language Models in Robot Action
  crossref Connor Gäde, Ozan Özdemir, Cornelius Weber, Stefan Wermter 2024-09-09T13:23:50Z 置信度 0.66