Stay updated with the latest research and technology news
arXiv:2403.19652v2 Announce Type: replace Abstract: Text-conditioned human motion generation has experienced significant advancements with diffusion models trained on extensive motion capture data and corresponding textual...
arXiv:2404.02524v3 Announce Type: replace Abstract: Existing traffic simulation models often fall short in capturing the intricacies of real-world scenarios, particularly the interactive behaviors among multiple...
arXiv:2404.15244v2 Announce Type: replace Abstract: Vision transformer based models bring significant improvements for image segmentation tasks. Although these architectures offer powerful capabilities irrespective of specific...
arXiv:2405.19872v5 Announce Type: replace Abstract: Based on the analysis of the data obtainable from the Web of Science publication and citation database, typical signs of...
arXiv:2406.09260v3 Announce Type: replace Abstract: This paper introduces a deep transformer network for estimating the relative 6D pose of a Unmanned Aerial Vehicle (UAV) with...
arXiv:2406.09872v2 Announce Type: replace Abstract: In this work, we develop algebraic solvers for linear systems arising from the discretization of second-order elliptic partial differential equations...
arXiv:2406.13375v3 Announce Type: replace Abstract: Large Language Model (LLM) can enhance its credibility and verifiability by generating text with citations. However, existing research on citation...
arXiv:2406.13653v2 Announce Type: replace Abstract: Foundational Vision-Language Models (VLMs) excel across diverse tasks, but adapting them to new domains without forgetting prior knowledge remains a...
arXiv:2406.17381v2 Announce Type: replace Abstract: The intrinsic capability to continuously learn a changing data stream is a desideratum of deep neural networks (DNNs). However, current...
arXiv:2406.18270v2 Announce Type: replace Abstract: We consider semantics-aware remote estimation of a discrete-state Markov source with both normal (low-priority) and alarm (high-priority) states. Erroneously announcing...
arXiv:2406.18700v4 Announce Type: replace Abstract: We study Fourier-sparse Boolean functions over general finite Abelian groups. A Boolean function $f : G \to \{-1,+1\}$ is $s$-sparse...
arXiv:2406.19898v5 Announce Type: replace Abstract: Much of the success of modern language models depends on finding a suitable prompt to instruct the model. Until now,...
arXiv:2407.00115v5 Announce Type: replace Abstract: Knowledge distillation (KD) enhances the performance of a student network by allowing it to learn the knowledge transferred from a...
arXiv:2407.19420v2 Announce Type: replace Abstract: In the graph domain, deep graph networks based on Message Passing Neural Networks (MPNNs) or Graph Transformers often cause over-smoothing...
arXiv:2408.12815v5 Announce Type: replace Abstract: Accurately segmenting structural cracks at the pixel level remains a major hurdle, as existing methods fail to integrate local textures...
arXiv:2408.13243v3 Announce Type: replace Abstract: Multi-camera tracking plays a pivotal role in various real-world applications. While end-to-end methods have gained significant interest in single-camera tracking,...
arXiv:2409.00143v3 Announce Type: replace Abstract: Achieving consistent sentiment representation across diverse modalities remains a key challenge in multimodal sentiment analysis. However, rapid emotional fluctuations over...
arXiv:2409.06952v3 Announce Type: replace Abstract: Trajectory planning is crucial in multi-robot systems, particularly in environments with numerous obstacles. While extensive research has been conducted in...
arXiv:2409.09777v5 Announce Type: replace Abstract: Current End-to-End Autonomous Driving (E2E-AD) methods resort to unifying modular designs for various tasks (e.g. perception, prediction and planning). Although...
arXiv:2409.13363v3 Announce Type: replace Abstract: Survival analysis is a statistical framework for modeling time-to-event data. It plays a pivotal role in medicine, reliability engineering, and...
arXiv:2409.20534v2 Announce Type: replace Abstract: Machine learning can significantly improve performance for decision-making under uncertainty across a wide range of domains. However, ensuring robustness guarantees...
arXiv:2410.01945v2 Announce Type: replace Abstract: Long-Form Question Answering (LFQA) involves generating comprehensive, paragraph-level responses to open-ended questions, which poses a significant challenge for evaluation due...
arXiv:2410.07388v4 Announce Type: replace Abstract: The Densest $k$-Subgraph (D$k$S) is a fundamental combinatorial problem known for its theoretical hardness and breadth of applications. Recently, Lu...
arXiv:2410.08829v2 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated broad utility across molecular domains, spanning drug discovery and materials design. Analyzing LLMs' latent...