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Virtual Reality (VR) interfaces often rely on linear ray-casting for object selection but struggle with precision in dense or occluded environments. This late-breaking work introduces an optimized dual-layered selection mechanism combining…

Human-Computer Interaction · Computer Science 2025-03-04 Xiang Li , Per Ola Kristensson

We introduce InternVideo2, a new family of video foundation models (ViFM) that achieve the state-of-the-art results in video recognition, video-text tasks, and video-centric dialogue. Our core design is a progressive training approach that…

The virtual reality (VR) and human-computer interaction (HCI) combination has radically changed the way users approach a virtual environment, increasing the feeling of VR immersion, and improving the user experience and usability. The…

Human-Computer Interaction · Computer Science 2023-02-14 Nicola Capece , Ugo Erra , Delfina Malandrino , Max M. North , Monica Gruosso

To properly evaluate the performance of 360VR-specific encoding and transmission schemes, and particularly of the solutions based on viewport adaptation, it is necessary to consider not only the bandwidth saved, but also the quality of the…

In the past few years, augmented reality (AR) and virtual reality (VR) technologies have experienced terrific improvements in both accessibility and hardware capabilities, encouraging the application of these devices across various domains.…

Human-Computer Interaction · Computer Science 2019-10-29 Marco Cavallo , Mishal Dholakia , Matous Havlena , Kenneth Ocheltree , Mark Podlaseck

Immersive technologies offer new opportunities to support collaborative visual data analysis by providing each collaborator a personal, high-resolution view of a flexible shared visualisation space through a head mounted display. However,…

Human-Computer Interaction · Computer Science 2020-11-12 Benjamin Lee , Xiaoyun Hu , Maxime Cordeil , Arnaud Prouzeau , Bernhard Jenny , Tim Dwyer

In this work, we discuss evaluating video foundation models in a fair and robust manner. Unlike language or image foundation models, many video foundation models are evaluated with differing parameters (such as sampling rate, number of…

As consumer Virtual Reality (VR) and Mixed Reality (MR) technologies gain momentum, there's a growing focus on the development of engagements with 3D virtual content. Unfortunately, traditional techniques for content creation, editing, and…

Human-Computer Interaction · Computer Science 2024-05-07 Ying Jiang , Chang Yu , Tianyi Xie , Xuan Li , Yutao Feng , Huamin Wang , Minchen Li , Henry Lau , Feng Gao , Yin Yang , Chenfanfu Jiang

The 360-degree video allows users to enjoy the whole scene by interactively switching viewports. However, the huge data volume of the 360-degree video limits its remote applications via network. To provide high quality of experience (QoE)…

Computer Vision and Pattern Recognition · Computer Science 2019-12-24 Hui Yuan , Shiyun Zhao , Junhui Hou , Xuekai Wei , Sam Kwong

People differ in how much they move their head versus their eyes when shifting gaze, yet such tendencies remain largely unexplored in HCI. We introduce head movement tendencies as a fundamental dimension of individual difference in VR and…

Human-Computer Interaction · Computer Science 2026-02-09 Jinghui Hu , Ludwig Sidenmark , Hock Siang Lee , Hans Gellersen

In this work, we present an integrated system for spatiotemporal summarization of 360-degrees videos. The video summary production mainly involves the detection of salient events and their synopsis into a concise summary. The analysis…

Computer Vision and Pattern Recognition · Computer Science 2023-12-06 Ioannis Kontostathis , Evlampios Apostolidis , Vasileios Mezaris

Recent adaptive methods for efficient video recognition mostly follow the two-stage paradigm of "preview-then-recognition" and have achieved great success on multiple video benchmarks. However, this two-stage paradigm involves two visits of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Ye Tian , Mengyu Yang , Lanshan Zhang , Zhizhen Zhang , Yang Liu , Xiaohui Xie , Xirong Que , Wendong Wang

We introduce STRIVE (SpatioTemporal Reinforcement with Importance-aware Variant Exploration), a structured reinforcement learning framework for video question answering. While group-based policy optimization methods have shown promise in…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Emad Bahrami , Olga Zatsarynna , Parth Pathak , Sunando Sengupta , Juergen Gall , Mohsen Fayyaz

Many educational organizations are employing instructional video in their pedagogy, but there is limited understanding of the possible presentation styles. In practice, the presentation style of video lectures ranges from a direct recording…

Computers and Society · Computer Science 2020-01-01 Konstantinos Chorianopoulos

Robotic manipulation requires understanding both the 3D spatial structure of the environment and its temporal evolution, yet most existing policies overlook one or both. They typically rely on 2D visual observations and backbones pretrained…

Event-based cameras offer unique advantages such as high temporal resolution, high dynamic range, and low power consumption. However, the massive storage requirements and I/O burdens of existing synthetic data generation pipelines and the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Hanyue Lou , Jinxiu Liang , Minggui Teng , Yi Wang , Boxin Shi

Intelligent vehicles (IVs) have gained worldwide attention due to their increased convenience, safety advantages, and potential commercial value. Despite predictions of commercial deployment by 2025, implementation remains limited to…

Robotics · Computer Science 2023-05-11 Siyu Teng , Xuemin Hu , Peng Deng , Bai Li , Yuchen Li , Dongsheng Yang , Yunfeng Ai , Lingxi Li , Zhe Xuanyuan , Fenghua Zhu , Long Chen

In this work, we investigate facial anonymization techniques in 360{\deg} videos and assess their influence on the perceived realism, anonymization effect, and presence of participants. In comparison to traditional footage, 360{\deg} videos…

Human-Computer Interaction · Computer Science 2024-08-12 Leslie Wöhler , Satoshi Ikehata , Kiyoharu Aizawa

Video consumption is being shifted from sit-and-watch to selective skimming. Existing video player interfaces, however, only provide indirect manipulation to support this emerging behavior. Video summarization alleviates this issue to some…

Multimedia · Computer Science 2017-08-24 Haojian Jin , Yale Song , Koji Yatani

We propose a self-supervised method to learn feature representations from videos. A standard approach in traditional self-supervised methods uses positive-negative data pairs to train with contrastive learning strategy. In such a case,…

Computer Vision and Pattern Recognition · Computer Science 2020-08-13 Li Tao , Xueting Wang , Toshihiko Yamasaki