DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces
arXiv:2602.19565v1 Announce Type: cross Abstract: Articulated object pose estimation is a core task in embodied AI. Existing methods typically regress…
arXiv:2602.19565v1 Announce Type: cross Abstract: Articulated object pose estimation is a core task in embodied AI. Existing methods typically regress…
arXiv:2507.20174v3 Announce Type: replace-cross Abstract: Real-world applications, such as autonomous driving and humanoid robot manipulation, require precise spatial perception. However,…
arXiv:2602.07883v2 Announce Type: replace Abstract: Agentic systems powered by Large Language Models (LLMs) have demonstrated remarkable potential in tackling complex,…
arXiv:2501.00773v2 Announce Type: replace-cross Abstract: Graphs are fundamental data structures for modeling complex interactions in domains such as social networks,…
arXiv:2602.16336v2 Announce Type: replace-cross Abstract: This work presents HAWX, a hardware-aware scalable exploration framework that employs multi-level sensitivity scoring at…
arXiv:2602.19674v1 Announce Type: cross Abstract: Remote monitoring of heart failure (HF) via speech signals provides a non-invasive and cost-effective solution…
arXiv:2602.19679v1 Announce Type: cross Abstract: Joint reconstruction of 3D human and object from a single image is an active research…
arXiv:2602.17690v2 Announce Type: replace-cross Abstract: Graphic design generation demands a delicate balance between high visual fidelity and fine-grained structural editability.…
arXiv:2602.18494v1 Announce Type: new Abstract: A dominant paradigm in visual intelligence treats semantics as a static property of latent representations,…
arXiv:2510.09312v2 Announce Type: replace-cross Abstract: Current Chain-of-Thought (CoT) verification methods predict reasoning correctness based on outputs (black-box) or activations (gray-box),…