Despite the recent progress on 6D object pose estimation methods for robotic grasping, a substantial performance gap persists between the capabilities of these methods on existing datasets and their efficacy in real-world grasping and mobile manipula...
The set of hypertrees on $n$ vertices can be endowed with a poset structure. J. McCammond and J. Meier computed the dimension of the unique non zero homology group of the hypertree poset. We give another proof of their result and use the theory of sp...
Expressive human pose and shape estimation (a.k.a. 3D whole-body mesh recovery) involves the human body, hand, and expression estimation. Most existing methods have tackled this task in a two-stage manner, first detecting the human body part with an...
Pose and motion priors play a crucial role in humanoid robotics. Although such priors have been widely studied in human motion recovery (HMR) domain with a range of models, their adoption for humanoid robots remains limited, largely due to the scarci...
Learn Salabhasana (Locust Pose) with this beginner's guide! Discover steps, benefits, safety tips, and alignment advice for practice.
2 days ago · Locust Pose (Salabhasana) is A strengthening backbend that tones the back body. This powerful asana has proven particularly effective for managing Healthy Aging, offering both physical â¦
Build strength and improve posture with Locust Pose (Salabhasana). Learn how to practice safely with tips, benefits, modifications, & more.
How to do Shalabhasana (Locust Pose). Learn more about the steps, benefits and sequence of Locust Posture (Shalabhasana).
Among these, Shalabhasana, or the Locust Pose, stands out as a powerful backbend that strengthens the spine, improves posture, and energizes the body. This simple yet effective asana is a staple in â¦
Feb 27, 2025 · Salabhasana, or Locust Pose, effectively preps you for deeper backbends by strengthening the back of the torso, legs, and arms.
This paper addresses the problem of global well-posedness of a coupled system of Korteweg-de Vries equations, derived by Majda and Biello in the context of nonlinear resonant interaction of Rossby waves, in a periodic setting in homogeneous Sobolev s...
Given a simple graph $G$, a poset of its even subgraphs was firstly considered by S. Choi and H. Park to study the topology of a real toric manifold associated with $G$. S. Choi and the authors extended this to a graph allowing multiple edges, motiva...
In the present work, we propose new tensor Krylov subspace method for ill posed linear tensor problems such as in color or video image restoration. Those methods are based on the tensor-tensor discrete cosine transform that gives fast tensor-tensor p...
Computer vision (CV) has achieved great success in interpreting semantic meanings from images, yet CV algorithms can be brittle for tasks with adverse vision conditions and the ones suffering from data/label pair limitation. One of this tasks is in-b...
Human in-bed pose estimation has huge practical values in medical and healthcare applications yet still mainly relies on expensive pressure mapping (PM) solutions. In this paper, we introduce our novel physics inspired vision-based approach that addr...
We study sheaves on posets, showing that cosystolic expansion of such sheaves can be derived from local expansion conditions of the sheaf and the poset (typically a high dimensional expander). When the poset at hand is a cell complex, a sheaf on it m...
Given sparse views of a 3D object, estimating their camera poses is a long-standing and intractable problem. Toward this goal, we consider harnessing the pre-trained diffusion model of novel views conditioned on viewpoints (Zero-1-to-3). We present I...
We present a novel unified framework that concurrently tackles recognition and future prediction for human hand pose and action modeling. Previous works generally provide isolated solutions for either recognition or prediction, which not only increas...
What happens when an unstoppable Matthew McConaughey meets an unmovable Bradley Cooper? The greatest face-off in the history of football. Or as Matthew would...
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