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- From Canteen Food to Daily Meals: Generalizing Food Recognition to More Practical Scenarios19
Two new benchmarks, namely DailyFood-172 and DailyFood-16, are presented, specifically designed to curate food images from everyday meals, to evaluate the transferability of approaches from the well-curated food image domain to the everyday-life food image domain.
- RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning10
This work reformulates I2IT as an iterative decision-making problem via deep reinforcement learning (DRL) and proposes a computationally efficient RL-based I2IT ( RL-I2IT ) framework, to decompose a monolithic learning process into small steps with a lightweight model to progressively transform the source image to the target image.
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- Coding and data hiding for multimedia6
A novel image compression algorithm is introduced which employs adaptive signal representations and exploits directly human visual masking to maximize reduction of both redundancy and, irrelevancy in an image.
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- From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning4
The Dual Low-Rank Adaptation (Dual-LoRA), a holistic-to-local framework that enhances the adapter's capacity to address data conflict through dual structural optimization, and introduces Visual Cue Enhancement (VCE), a multi-level local feature aggregation module designed to enrich the visionlanguage projection with local details.
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- Sensitivity Analysis of a Simulation Model for Managing Contact Centers with Impatient Customers2
A queuing system with abandonments for managing the modern contact centers, where the impatient customers would probably abandon their calls if their patience expires before they reach a service agent, is studied.
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- An Effective Frame Rate Control Method for Scalable Video Coding–
The result of experiments indicates the Motion Compensated Temporal Filter framework can perform higher velocity of processing and better performance, and also neatly achieve the temporal scalability of SVC.
- Platform of video teaching based on FCS–
The teaching platform named LiveTeach has been developed which can support 2-way video interaction between students and teacher, and the interaction between teacher and students has been greatly improved.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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