Computer Science: Recent submissions
Now showing items 21-40 of 549
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Improved homographic adaptation for keypoint generation in cross-spectral registration of thermal and optical imagery
(SPIE, 2023)Autonomous navigation is an important area of research for aerial vehicles. Visual odometry and simultaneous localization and mapping algorithms are critical for the three-dimensional understanding of the environment. For ... -
A model for cognitively valid lifelong learning
(IEEE, 2023)In continual learning, usually a sequence of tasks are given to a learning agent and the performance of the agent after learning is measured in terms of resistance to catastrophic forgetting, efficacy of knowledge transfer ... -
Interplay between neural computational energy and multimodal processing in robot-robot interaction
(IEEE, 2023)Multimodal learning is an active research area that is gaining importance in human-robot interaction. Despite the obvious benefit of levering multiple sensors for perceiving the world, its neural computational cost has not ... -
Developmental scaffolding with large language models
(IEEE, 2023)Exploration and self-observation are key mechanisms of infant sensorimotor development. These processes are further guided by parental scaffolding to accelerate skill and knowledge acquisition. In developmental robotics, ... -
Deterministic neural illumination mapping for efficient auto-white balance correction
(IEEE, 2023)Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios. This paper presents a novel and efficient AWB ... -
NFT primary sale price and secondary sale prediction via deep learning
(Association for Computing Machinery, Inc, 2023-11-27)Non Fungible Tokens (NFTs) are blockchain-based unique digital assets defining ownership deeds. They can characterize various different objects such as collectible, art, and in-game items. In general, NFTs are encoded by ... -
Trust in robot–robot scaffolding
(IEEE, 2023-12-01)The study of robot trust in humans and other agents is not explored widely despite its importance for the near future human-robot symbiotic societies. Here, we propose that robots should trust partners that tend to reduce ... -
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Reversing image signal processors by reverse style transferring
(Springer, 2023)RAW image datasets are more suitable than the standard RGB image datasets for the ill-posed inverse problems in low-level vision, but not common in the literature. There are also a few studies to focus on mapping sRGB ... -
Bidding support by the pocket negotiator improves negotiation outcomes
(Springer, 2023)This paper presents the negotiation support mechanisms provided by the Pocket Negotiator (PN) and an elaborate empirical evaluation of the economic decision support (EDS) mechanisms during the bidding phase of negotiations ... -
AhBuNe agent: Winner of the eleventh international automated negotiating agent competition (ANAC 2020)
(Springer, 2023)The International Automated Negotiating Agent Competition introduces a new challenge each year to facilitate the research on agent-based negotiation and provide a test benchmark. ANAC 2020 addressed the problem of designing ... -
A survey of decision support mechanisms for negotiation
(Springer, 2023)This paper introduces a dependency analysis and a categorization of conceptualized and existing economic decision support mechanisms for negotiation. The focus of our survey is on economic decision support mechanisms, ... -
The 13th international automated negotiating agent competition challenges and results
(Springer, 2023)An international competition for negotiating agents has been organized for years to facilitate research in agent-based negotiation and to encourage the design of negotiating agents that can operate in various scenarios. ... -
AIM 2022 challenge on instagram filter removal: Methods and results
(Springer, 2023)This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations, and the feature maps of the original ... -
Meta reinforcement learning for rate adaptation
(IEEE, 2023)Adaptive bitrate (ABR) schemes enable streaming clients to adapt to time-varying network/device conditions to achieve a stall-free viewing experience. Most ABR schemes use manually tuned heuristics or learning-based methods. ... -
Explain to me: Towards understanding privacy decisions
(International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2023)Privacy assistants help users manage their privacy online. Their tasks could vary from detecting privacy violations to recommending sharing actions for content that the user intends to share. Recent work on these tasks are ... -
NTIRE 2023 challenge on night photography rendering
(IEEE, 2023)This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby ... -
Using different loss functions with YOLACT++ for real-time instance segmentation
(IEEE, 2023)In this paper, we study and analyze the performance of various loss functions on a recently proposed real-time instance segmentation algorithm, YOLACT++. In particular, we study the loss functions, including Huber Loss, ... -
IBAM: IPFS and blockchain based authentication for MQTT protocol in IoT
(IEEE, 2023)Decentralized systems have proven themselves as a dominant authentication and storage paradigm for IoT systems where smartwatches are integrated with MQTT messaging framework for transmitting medical data to doctors. ... -
A general-purpose protocol for multi-agent based explanations
(Springer, 2023)Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose protocol for multi-agent systems where recommender agents may need to provide explanations for their recommendations. The ...
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