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The rapid growth of movement data sources such as GPS traces, traffic networks and social media have provided analysts with the opportunity to explore collective patterns of geographical movements in a nearly real-time fashion. A fast and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-12 Kiumars Soltani , Anand Padmanabhan , Shaowen Wang

Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through dimensionality reduction techniques. However, these…

Computational Geometry · Computer Science 2009-07-16 Emden R. Gansner , Yifan Hu , Stephen G. Kobourov

Previous works leveraging video models for image-to-3D scene generation tend to suffer from geometric distortions and blurry content. In this paper, we renovate the pipeline of image-to-3D scene generation by unlocking the potential of…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Yuhao Wan , Lijuan Liu , Jingzhi Zhou , Zihan Zhou , Xuying Zhang , Dongbo Zhang , Shaohui Jiao , Qibin Hou , Ming-Ming Cheng

We present Playable Environments - a new representation for interactive video generation and manipulation in space and time. With a single image at inference time, our novel framework allows the user to move objects in 3D while generating a…

Computer Vision and Pattern Recognition · Computer Science 2022-03-17 Willi Menapace , Stéphane Lathuilière , Aliaksandr Siarohin , Christian Theobalt , Sergey Tulyakov , Vladislav Golyanik , Elisa Ricci

We introduce Vid-CamEdit, a novel framework for video camera trajectory editing, enabling the re-synthesis of monocular videos along user-defined camera paths. This task is challenging due to its ill-posed nature and the limited multi-view…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Junyoung Seo , Jisang Han , Jaewoo Jung , Siyoon Jin , Joungbin Lee , Takuya Narihira , Kazumi Fukuda , Takashi Shibuya , Donghoon Ahn , Shoukang Hu , Seungryong Kim , Yuki Mitsufuji

Videos that are shot using commodity hardware such as phones and surveillance cameras record various metadata such as time and location. We encounter such geospatial videos on a daily basis and such videos have been growing in volume…

Databases · Computer Science 2024-07-16 Chanwut Kittivorawong , Yongming Ge , Yousef Helal , Alvin Cheung

We investigate research challenges and opportunities for visualization in motion during outdoor physical activities via an initial corpus of real-world recordings that pair egocentric video, biometrics, and think-aloud observations. With…

Human-Computer Interaction · Computer Science 2024-09-11 Ahmed Elshabasi , Lijie Yao , Petra Isenberg , Charles Perin , Wesley Willett

We consider the problem of segmenting dynamic regions in CrowdCam images, where a dynamic region is the projection of a moving 3D object on the image plane. Quite often, these regions are the most interesting parts of an image. CrowdCam…

Computer Vision and Pattern Recognition · Computer Science 2019-06-25 Nir Zarrabi , Shai Avidan , Yael Moses

Motion segmentation in dynamic scenes is highly challenging, as conventional methods heavily rely on estimating camera poses and point correspondences from inherently noisy motion cues. Existing statistical inference or iterative…

Computer Vision and Pattern Recognition · Computer Science 2026-02-26 Xiankang He , Peile Lin , Ying Cui , Dongyan Guo , Chunhua Shen , Xiaoqin Zhang

Camera control, which achieves diverse visual effects by changing camera position and pose, has attracted widespread attention. However, existing methods face challenges such as complex interaction and limited control capabilities. To…

Computer Vision and Pattern Recognition · Computer Science 2025-04-04 Xiaoda Yang , Jiayang Xu , Kaixuan Luan , Xinyu Zhan , Hongshun Qiu , Shijun Shi , Hao Li , Shuai Yang , Li Zhang , Checheng Yu , Cewu Lu , Lixin Yang

This paper strives for motion-focused video-language representations. Existing methods to learn video-language representations use spatial-focused data, where identifying the objects and scene is often enough to distinguish the relevant…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Hazel Doughty , Fida Mohammad Thoker , Cees G. M. Snoek

It is often desirable to analyse trajectory data in local coordinates relative to a reference location. Similarly, temporal data also needs to be transformed to be relative to an event. Together, temporal and spatial contextualisation…

Human-Computer Interaction · Computer Science 2017-11-15 Andrew Simmons , Rajesh Vasa

This paper presents an immersive virtual reality environment that can be used to develop collaborative educational applications. Multiple users can collaborate within the virtual shared space and communicate with each other through voice.…

Human-Computer Interaction · Computer Science 2020-10-14 Milan Dolezal , Jiri Chmelik , Fotis Liarokapis

Interactive digital maps have revolutionized how people travel and learn about the world; however, they rely on pre-existing structured data in GIS databases (e.g., road networks, POI indices), limiting their ability to address geo-visual…

Human-Computer Interaction · Computer Science 2025-08-22 Jon E. Froehlich , Jared Hwang , Zeyu Wang , John S. O'Meara , Xia Su , William Huang , Yang Zhang , Alex Fiannaca , Philip Nelson , Shaun Kane

Simple as it seems, moving an object to another location within an image is, in fact, a challenging image-editing task that requires re-harmonizing the lighting, adjusting the pose based on perspective, accurately filling occluded regions,…

Graphics · Computer Science 2025-03-12 Xin Yu , Tianyu Wang , Soo Ye Kim , Paul Guerrero , Xi Chen , Qing Liu , Zhe Lin , Xiaojuan Qi

Understanding and predicting dynamics of the physical world can enhance a robot's ability to plan and interact effectively in complex environments. While recent video generation models have shown strong potential in modeling dynamic scenes,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Zeyi Liu , Shuang Li , Eric Cousineau , Siyuan Feng , Benjamin Burchfiel , Shuran Song

Camera-controlled video generation has achieved remarkable progress in recent years. However, existing video-to-video re-rendering methods primarily rely on Supervised Fine-Tuning using synthetic datasets. At present, there is an extreme…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Zizun Li , Haoyu Guo , Runzhe Teng , Chunhua Shen , Tong He

Cinemagraphs are a compelling way to convey dynamic aspects of a scene. In these media, dynamic and still elements are juxtaposed to create an artistic and narrative experience. Creating a high-quality, aesthetically pleasing cinemagraph…

Computer Vision and Pattern Recognition · Computer Science 2017-08-11 Tae-Hyun Oh , Kyungdon Joo , Neel Joshi , Baoyuan Wang , In So Kweon , Sing Bing Kang

Although recent text-to-video generative models are getting more capable of following external camera controls, imposed by either text descriptions or camera trajectories, they still struggle to generalize to unconventional camera motions,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Qiucheng Wu , Handong Zhao , Zhixin Shu , Jing Shi , Yang Zhang , Shiyu Chang

Worldwide image geolocalization-the task of predicting GPS coordinates from images taken anywhere on Earth-poses a fundamental challenge due to the vast diversity in visual content across regions. While recent approaches adopt a two-stage…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Pengyue Jia , Seongheon Park , Song Gao , Xiangyu Zhao , Sharon Li