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200 papers

Computer vision/deep learning-based 3D human pose estimation methods aim to localize human joints from images and videos. Pose representation is normally limited to 3D joint positional/translational degrees of freedom (3DOFs), however, a…

Computer Vision and Pattern Recognition · Computer Science 2022-09-07 Kevin Gildea , Clara Mercadal-Baudart , Richard Blythman , Aljosa Smolic , Ciaran Simms

In this paper, we present a complete and efficient implementation of a knowledge-sharing augmented kinesthetic teaching approach for efficient task execution in robotics. Our augmented kinesthetic teaching method integrates intuitive human…

Robotics · Computer Science 2023-12-04 Cheng Tang , Jiaming Zhong , Yue Hu

Like the letters in the alphabet forming words, reusing components of a heterogeneous mixture is an efficient strategy for assembling a large number of target structures. Examples range from synthetic DNA origami to proteins self-assembling…

Statistical Mechanics · Physics 2024-12-10 Félix Benoist , Pablo Sartori

Due to inevitable noises introduced during scanning and quantization, 3D reconstruction via RGB-D sensors suffers from errors both in geometry and texture, leading to artifacts such as camera drifting, mesh distortion, texture ghosting, and…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Jingbo Zhang , Ziyu Wan , Jing Liao

Current human motion synthesis frameworks rely on global action descriptions, creating a modality gap that limits both motion understanding and generation capabilities. A single coarse description, such as run, fails to capture details such…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Pengfei Zhang , Pinxin Liu , Pablo Garrido , Hyeongwoo Kim , Bindita Chaudhuri

Rigged objects are commonly used in artist pipelines, as they can flexibly adapt to different scenes and postures. However, articulating the rigs into realistic affordance-aware postures (e.g., following the context, respecting the physics…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Yu-Chu Yu , Chieh Hubert Lin , Hsin-Ying Lee , Chaoyang Wang , Yu-Chiang Frank Wang , Ming-Hsuan Yang

We introduce an active 3D reconstruction method which integrates visual perception, robot-object interaction, and 3D scanning to recover both the exterior and interior, i.e., unexposed, geometries of a target 3D object. Unlike other works…

Computer Vision and Pattern Recognition · Computer Science 2023-10-24 Zihao Yan , Fubao Su , Mingyang Wang , Ruizhen Hu , Hao Zhang , Hui Huang

We propose a novel approach for joint 3D multi-object tracking and reconstruction from RGB-D sequences in indoor environments. To this end, we detect and reconstruct objects in each frame while predicting dense correspondences mappings into…

Computer Vision and Pattern Recognition · Computer Science 2022-06-29 Dominik Schmauser , Zeju Qiu , Norman Müller , Matthias Nießner

The levels of agility and flight or swimming performance demonstrated by insects, birds, fish, and even some aquatic invertebrates, are often vastly superior to what even the most advanced human-engineered vehicles operating in the same…

Fluid Dynamics · Physics 2021-12-21 Christoph Busch , Alexander Gehrke , Karen Mulleners

We propose novel motion representations for animating articulated objects consisting of distinct parts. In a completely unsupervised manner, our method identifies object parts, tracks them in a driving video, and infers their motions by…

Computer Vision and Pattern Recognition · Computer Science 2021-04-26 Aliaksandr Siarohin , Oliver J. Woodford , Jian Ren , Menglei Chai , Sergey Tulyakov

In automated manufacturing, robots must reliably assemble parts of various geometries and low tolerances. Ideally, they plan the required motions autonomously. This poses a substantial challenge due to high-dimensional state spaces and…

Given a single image of a general object such as a chair, could we also restore its articulated 3D shape similar to human modeling, so as to animate its plausible articulations and diverse motions? This is an interesting new question that…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Ji Yang , Xinxin Zuo , Sen Wang , Zhenbo Yu , Xingyu Li , Bingbing Ni , Minglun Gong , Li Cheng

Articulated objects are common in the real world, yet modeling their structure and motion remains a challenging task for 3D reconstruction methods. In this work, we introduce Part$^{2}$GS, a novel framework for modeling articulated digital…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Tianjiao Yu , Vedant Shah , Muntasir Wahed , Ying Shen , Kiet A. Nguyen , Ismini Lourentzou

We introduce ART, Articulated Reconstruction Transformer -- a category-agnostic, feed-forward model that reconstructs complete 3D articulated objects from only sparse, multi-state RGB images. Previous methods for articulated object…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Zizhang Li , Cheng Zhang , Zhengqin Li , Henry Howard-Jenkins , Zhaoyang Lv , Chen Geng , Jiajun Wu , Richard Newcombe , Jakob Engel , Zhao Dong

Service robots in the future need to execute abstract instructions such as "fetch the milk from the fridge". To translate such instructions into actionable plans, robots require in-depth background knowledge. With regards to interactions…

Robotics · Computer Science 2022-02-17 Adrian Röfer , Georg Bartels , Wolfram Burgard , Abhinav Valada , Michael Beetz

We propose and analyse a variant of the recently introduced kinetic based optimization method that incorporates ideas like survival-of-the-fittest and mutation strategies well-known from genetic algorithms. Thus, we provide a first attempt…

Optimization and Control · Mathematics 2024-07-18 Giacomo Albi , Federica Ferrarese , Claudia Totzeck

Our work aims to reconstruct hand-held objects given a single RGB image. In contrast to prior works that typically assume known 3D templates and reduce the problem to 3D pose estimation, our work reconstructs generic hand-held object…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Yufei Ye , Abhinav Gupta , Shubham Tulsiani

Animating human-scene interactions such as pick-and-place tasks in cluttered, complex layouts is a challenging task, with objects of a wide variation of geometries and articulation under scenarios with various obstacles. The main difficulty…

Graphics · Computer Science 2025-10-07 Jintao Lu , He Zhang , Yuting Ye , Takaaki Shiratori , Sebastian Starke , Taku Komura

Compliant mechanisms achieve motion through elastic deformation. In this work, we address the synthesis of a compliant cross-hinge mechanism capable of large angular strokes while approximating the behavior of an ideal revolute joint. To…

Numerical Analysis · Mathematics 2025-04-24 Alexander Humer , Sebastian Platzer

Kitting refers to the task of preparing and grouping necessary parts and tools (or "kits") for assembly in a manufacturing environment. Automating this process simplifies the assembly task for human workers and improves efficiency. Existing…

Robotics · Computer Science 2022-09-20 Yi-Shiuan Tung , Kayleigh Bishop , Bradley Hayes , Alessandro Roncone