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arXiv:2501.11741v4 Announce Type: replace Abstract: In this work, a novel multi-face tracking method named FaceQSORT is proposed. To mitigate multi-face tracking challenges (e.g., partially occluded...
arXiv:2501.07451v3 Announce Type: replace Abstract: Model compression is essential in the deployment of large Computer Vision models on embedded devices. However, static optimization techniques (e.g....
arXiv:2412.03441v4 Announce Type: replace Abstract: In recent years, the rise of machine learning (ML) in cybersecurity has brought new challenges, including the increasing threat of...
arXiv:2411.18037v4 Announce Type: replace Abstract: Breaking a norm elicits both material and emotional consequences, yet how this coupling arose evolutionarily remains unclear. We investigate this...
arXiv:2411.14084v3 Announce Type: replace Abstract: Numerical homogenization methods aim at providing appropriate coarse-scale approximations of solutions to (elliptic) partial differential equations that involve highly oscillatory...
arXiv:2411.13779v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities in generating coherent text but often struggle with grounding language and strategic...
arXiv:2411.09007v2 Announce Type: replace Abstract: Human visual perception naturally evaluates image quality across multiple scales, a hierarchical process that existing blind image quality assessment (BIQA)...
arXiv:2410.21088v5 Announce Type: replace Abstract: The widespread use of AI-generated content from diffusion models has raised significant concerns regarding misinformation and copyright infringement. Watermarking is...
arXiv:2410.14182v4 Announce Type: replace Abstract: Artificial Intelligence (AI) is revolutionizing scientific research, yet its growing integration into laboratory environments presents critical safety challenges. Large language...
arXiv:2410.06820v5 Announce Type: replace Abstract: Physics-informed deep learning often faces optimization challenges due to the complexity of solving partial differential equations (PDEs), which involve exploring...
arXiv:2409.17395v2 Announce Type: replace Abstract: Although fully autonomous systems still face challenges due to patients' anatomical variability, teleoperated systems appear to be more practical in...
arXiv:2409.14719v3 Announce Type: replace Abstract: We aim to solve the problem of generating coarse-to-fine skills learning from demonstrations (LfD). To scale precision, traditional LfD approaches...
arXiv:2409.12709v2 Announce Type: replace Abstract: In healthcare, risk assessment of patient outcomes has been based on survival analysis for a long time, i.e. modeling time-to-event...
arXiv:2408.11730v2 Announce Type: replace Abstract: While previous researchers have performed an exhaustive search to determine an optimal Wordle strategy, that computation is very time consuming...
arXiv:2408.10963v5 Announce Type: replace Abstract: As the use of satellites continues to grow, new networking paradigms are emerging to support the scale and long distance...
arXiv:2407.21082v2 Announce Type: replace Abstract: This paper presents a modular approach to accelerate inference in large language models (LLMs) by adding early exit heads at...
arXiv:2407.14894v3 Announce Type: replace Abstract: Unmanned Aerial Vehicles (UAVs) have significantly enhanced fog computing by acting as both flexible computation platforms and communication mobile relays....
arXiv:2407.11018v3 Announce Type: replace Abstract: Mobile edge computing (MEC) provides low-latency offloading solutions for computationally intensive tasks, effectively improving the computing efficiency and battery life...
arXiv:2407.03580v4 Announce Type: replace Abstract: Optimizing multiple objectives simultaneously is an important task for recommendation platforms to improve their performance. However, this task is particularly...
arXiv:2407.00829v4 Announce Type: replace Abstract: The matrices used in many computational settings are naturally sparse, holding a small percentage of nonzero elements. Storing such matrices...
arXiv:2406.07946v4 Announce Type: replace Abstract: In this paper we propose and evaluate an innovative algorithm that enables the creation of Peer-to-Peer network overlays characterized by...
arXiv:2405.13890v3 Announce Type: replace Abstract: This paper was a Workshop Paper. See the full paper which will be presented at CHI 2026: arXiv:2501.10551; As large...
arXiv:2403.01497v3 Announce Type: replace Abstract: Underwater visuals undergo various complex degradations, inevitably influencing the efficiency of underwater vision tasks. Recently, diffusion models were employed to...
arXiv:2402.16741v4 Announce Type: replace Abstract: Multiparty session types (MPST) provide a type discipline where a programmer or architect specifies a whole view of communications as...