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In this work we propose a model that can manipulate individual visual attributes of objects in a real scene using examples of how respective attribute manipulations affect the output of a simulation. As an example, we train our model to…

Machine Learning · Computer Science 2019-04-04 Ben Usman , Nick Dufour , Kate Saenko , Chris Bregler

Robotic grasping is facing a variety of real-world uncertainties caused by non-static object states, unknown object properties, and cluttered object arrangements. The difficulty of grasping increases with the presence of more uncertainties,…

Robotics · Computer Science 2025-09-10 Hao Chen , Takuya Kiyokawa , Weiwei Wan , Kensuke Harada

Video face swapping aims to address two primary challenges: effectively transferring the source identity to the target video and accurately preserving the dynamic attributes of the target face, such as head poses, facial expressions,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Xiangyang Luo , Ye Zhu , Yunfei Liu , Lijian Lin , Cong Wan , Zijian Cai , Shao-Lun Huang , Yu Li

Reliable markerless motion tracking of people participating in a complex group activity from multiple moving cameras is challenging due to frequent occlusions, strong viewpoint and appearance variations, and asynchronous video streams. To…

Computer Vision and Pattern Recognition · Computer Science 2020-04-21 Minh Vo , Ersin Yumer , Kalyan Sunkavalli , Sunil Hadap , Yaser Sheikh , Srinivasa Narasimhan

Virtual reality allows to create situations which can be experimented under the control of the user, without risks, in a very flexible way. This allows to develop skills and to have confidence to work in real conditions with real equipment.…

Human-Computer Interaction · Computer Science 2016-01-19 Nancy Rodriguez

Recent advances in Customized Concept Swapping (CCS) enable a text-to-image model to swap a concept in the source image with a customized target concept. However, the existing methods still face the challenges of inconsistency and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Chenyang Zhu , Kai Li , Yue Ma , Longxiang Tang , Chengyu Fang , Chubin Chen , Qifeng Chen , Xiu Li

Interaction is a fundamental part of using any computer system but it is still an issue for people with special needs. In order to improve this situation, this paper describes a new device-interaction model based on adaptation rules for…

Human-Computer Interaction · Computer Science 2023-01-03 Juan Jesus Ojeda-Castelo , Jose A. Piedra-Fernandez , Luis Iribarne

We present a novel system for real-time tracking of facial expressions using egocentric views captured from a set of infrared cameras embedded in a virtual reality (VR) headset. Our technology facilitates any user to accurately drive the…

In an era where images and visual content dominate our digital landscape, the ability to manipulate and personalize these images has become a necessity. Envision seamlessly substituting a tabby cat lounging on a sunlit window sill in a…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Jing Gu , Yilin Wang , Nanxuan Zhao , Tsu-Jui Fu , Wei Xiong , Qing Liu , Zhifei Zhang , He Zhang , Jianming Zhang , HyunJoon Jung , Xin Eric Wang

Face anti-spoofing is crucial to security of face recognition systems. Previous approaches focus on developing discriminative models based on the features extracted from images, which may be still entangled between spoof patterns and real…

Computer Vision and Pattern Recognition · Computer Science 2020-08-20 Ke-Yue Zhang , Taiping Yao , Jian Zhang , Ying Tai , Shouhong Ding , Jilin Li , Feiyue Huang , Haichuan Song , Lizhuang Ma

Despite progress in human motion capture, existing multi-view methods often face challenges in estimating the 3D pose and shape of multiple closely interacting people. This difficulty arises from reliance on accurate 2D joint estimations,…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Feichi Lu , Zijian Dong , Jie Song , Otmar Hilliges

Imitation learning is an effective approach for autonomous systems to acquire control policies when an explicit reward function is unavailable, using supervision provided as demonstrations from an expert, typically a human operator.…

Machine Learning · Computer Science 2018-06-20 YuXuan Liu , Abhishek Gupta , Pieter Abbeel , Sergey Levine

Figuring out which objects or concepts words refer to is a central language learning challenge for young children. Most models of this process posit that children learn early object labels from co-occurrences of words and their referents…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Alvin Wei Ming Tan , Jane Yang , Tarun Sepuri , Khai Loong Aw , Robert Z. Sparks , Zi Yin , Virginia A. Marchman , Michael C. Frank , Bria Long

Every day life tasks can present significant challenges for neurodivergent individuals, particularly those with Autism Spectrum Disorders (ASD) who are characterized by specific sensitivities. This contribution describes a virtual reality…

Facial alignment involves finding a set of landmark points on an image with a known semantic meaning. However, this semantic meaning of landmark points is often lost in 2D approaches where landmarks are either moved to visible boundaries or…

Computer Vision and Pattern Recognition · Computer Science 2017-09-11 Chandrasekhar Bhagavatula , Chenchen Zhu , Khoa Luu , Marios Savvides

Palpation, the use of touch in medical examination, is almost exclusively performed by humans. We investigate a proof of concept for an artificial palpation method based on self-supervised learning. Our key idea is that an encoder-decoder…

Machine Learning · Computer Science 2025-11-21 Zohar Rimon , Elisei Shafer , Tal Tepper , Efrat Shimron , Aviv Tamar

Digital avatars are an important part of identity representation, but there is little work on understanding how to represent disability. We interviewed 18 people with disabilities and related identities about their experiences and…

Human-Computer Interaction · Computer Science 2023-02-06 Kelly Mack , Rai Ching Ling Hsu , Andrés Monroy-Hernández , Brian A. Smith , Fannie Liu

Movement synchrony refers to the dynamic temporal connection between the motions of interacting people. The applications of movement synchrony are wide and broad. For example, as a measure of coordination between teammates, synchrony scores…

Computer Vision and Pattern Recognition · Computer Science 2022-08-03 Jicheng Li , Anjana Bhat , Roghayeh Barmaki

Recently, face swapping has been developing rapidly and achieved a surprising reality, raising concerns about fake content. As a countermeasure, various detection approaches have been proposed and achieved promising performance. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-24 Yuxuan Duan , Xuhong Zhang , Chuer Yu , Zonghui Wang , Shouling Ji , Wenzhi Chen

Given a pair of images depicting a person and a garment separately, image-based 3D virtual try-on methods aim to reconstruct a 3D human model that realistically portrays the person wearing the desired garment. In this paper, we present…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Xiaojing Zhong , Zhonghua Wu , Xiaofeng Yang , Guosheng Lin , Qingyao Wu
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