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A panoramic image mosaic is an attractive visualization for viewing many overlapping photos, but its images must be both captured and processed correctly to produce an acceptable composite. We propose Swipe Mosaics, an interactive…

Computer Vision and Pattern Recognition · Computer Science 2016-09-27 Malcolm Reynolds , Tom S. F. Haines , Gabriel J. Brostow

Submovements are ballistic components of human motion constituting a large part of motor interaction and arising from the cyclical and overlapping cognitive processes of perception, motor planning, and motor execution. Extracting…

Human-Computer Interaction · Computer Science 2026-04-23 Auejin Ham , Ben Boudaoud

Video synopsis, summarizing a video to generate a shorter video by exploiting the spatial and temporal redundancies, is important for surveillance and archiving. Existing trajectory-based video synopsis algorithms will not able to work in…

Computer Vision and Pattern Recognition · Computer Science 2024-01-08 Anton Jeran Ratnarajah , Sahani Goonetilleke , Dumindu Tissera , Kapilan Balagopalan , Ranga Rodrigo

Understanding and predicting motion is a fundamental component of visual intelligence. Although modern video models exhibit strong comprehension of scene dynamics, exploring multiple possible futures through full video synthesis remains…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Nick Stracke , Kolja Bauer , Stefan Andreas Baumann , Miguel Angel Bautista , Josh Susskind , Björn Ommer

Understanding 3D motion from videos presents inherent challenges due to the diverse types of movement, ranging from rigid and deformable objects to articulated structures. To overcome this, we propose Liv3Stroke, a novel approach for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Jaeah Lee , Changwoon Choi , Young Min Kim , Jaesik Park

Despite the rapid progress of video generation models, the role of data in influencing motion is poorly understood. We present Motive (MOTIon attribution for Video gEneration), a motion-centric, gradient-based data attribution framework…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Xindi Wu , Despoina Paschalidou , Jun Gao , Antonio Torralba , Laura Leal-Taixé , Olga Russakovsky , Sanja Fidler , Jonathan Lorraine

Given a visual scene, humans have strong intuitions about how a scene can evolve over time under given actions. The intuition, often termed visual intuitive physics, is a critical ability that allows us to make effective plans to manipulate…

Computer Vision and Pattern Recognition · Computer Science 2023-04-25 Haotian Xue , Antonio Torralba , Joshua B. Tenenbaum , Daniel LK Yamins , Yunzhu Li , Hsiao-Yu Tung

Human visual attention is a complex phenomenon. A computational modeling of this phenomenon must take into account where people look in order to evaluate which are the salient locations (spatial distribution of the fixations), when they…

Computer Vision and Pattern Recognition · Computer Science 2020-05-08 Dario Zanca , Stefano Melacci , Marco Gori

Continual learning refers to the ability of humans and animals to incrementally learn over time in a given environment. Trying to simulate this learning process in machines is a challenging task, also due to the inherent difficulty in…

Computer Vision and Pattern Recognition · Computer Science 2021-09-17 Enrico Meloni , Alessandro Betti , Lapo Faggi , Simone Marullo , Matteo Tiezzi , Stefano Melacci

Synthesizing novel views of dynamic humans from stationary monocular cameras is a specialized but desirable setup. This is particularly attractive as it does not require static scenes, controlled environments, or specialized capture…

Computer Vision and Pattern Recognition · Computer Science 2022-02-08 Xuelin Chen , Weiyu Li , Daniel Cohen-Or , Niloy J. Mitra , Baoquan Chen

In order to safely and efficiently collaborate with humans, industrial robots need the ability to alter their motions quickly to react to sudden changes in the environment, such as an obstacle appearing across a planned trajectory. In…

Robotics · Computer Science 2022-07-19 Shohei Fujii , Quang-Cuong Pham

We examine a variety of numerical methods that arise when considering dynamical systems in the context of physics-based simulations of deformable objects. Such problems arise in various applications, including animation, robotics, control…

Graphics · Computer Science 2021-08-19 Uri M. Ascher , Egor Larionov , Seung Heon Sheen , Dinesh K. Pai

With the recent drastic advancements in text-to-video diffusion models, controlling their generations has drawn interest. A popular way for control is through bounding boxes or layouts. However, enforcing adherence to these control inputs…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Daniel Ajisafe , Eric Hedlin , Helge Rhodin , Kwang Moo Yi

This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud frames are similar, motion estimation is key to effective…

Computer Vision and Pattern Recognition · Computer Science 2016-08-24 Dorina Thanou , Philip A. Chou , Pascal Frossard

Motion customization aims to adapt the diffusion model (DM) to generate videos with the motion specified by a set of video clips with the same motion concept. To realize this goal, the adaptation of DM should be possible to model the…

Computer Vision and Pattern Recognition · Computer Science 2025-09-09 Huijie Liu , Jingyun Wang , Shuai Ma , Jie Hu , Xiaoming Wei , Guoliang Kang

As augmented reality technology and hardware become more mature and affordable, researchers have been exploring more intuitive and discoverable interaction techniques for immersive environments. In this paper, we investigate multimodal…

Human-Computer Interaction · Computer Science 2022-12-02 Xiaoyan Zhou , Adam S. Williams , Francisco R. Ortega

Video motion magnification techniques allow us to see small motions previously invisible to the naked eyes, such as those of vibrating airplane wings, or swaying buildings under the influence of the wind. Because the motion is small, the…

Computer Vision and Pattern Recognition · Computer Science 2019-02-18 Tae-Hyun Oh , Ronnachai Jaroensri , Changil Kim , Mohamed Elgharib , Frédo Durand , William T. Freeman , Wojciech Matusik

Sketching is a uniquely human tool for expressing ideas and creativity. The animation of sketches infuses life into these static drawings, opening a new dimension for designers. Animating sketches is a time-consuming process that demands…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Ruolin Yang , Da Li , Honggang Zhang , Yi-Zhe Song

Reasoning segmentation aims to segment target objects in complex scenes based on human intent and spatial reasoning. While recent multimodal large language models (MLLMs) have demonstrated impressive 2D image reasoning segmentation,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Jiaxin Huang , Runnan Chen , Ziwen Li , Zhengqing Gao , Xiao He , Yandong Guo , Mingming Gong , Tongliang Liu

The objects we perceive guide our eye movements when observing real-world dynamic scenes. Yet, gaze shifts and selective attention are critical for perceiving details and refining object boundaries. Object segmentation and gaze behavior…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Vito Mengers , Nicolas Roth , Oliver Brock , Klaus Obermayer , Martin Rolfs