ACM SIGGRAPH has published Seminal Graphics Papers: Pushing the Boundaries, Volume 2, as part of its 50th-year celebration. They are making all these amazing papers available online for free access. These are all amazing papers I have read for my research and included in my teachings. Proud that 2 of my papers with amazing collaborators […]
Paper [bibtex key= 2016-Zia-FDASTD] Abstract Understanding surgical workflow has been a key concern of the medical research community. One of the main advantages of surgical workflow detection is real-time operating room (OR) scheduling. For hospitals, each minute of OR time is important in order to reduce cost and increase patient throughput. Traditional approaches in this […]
Citation Abstract Dietary self-monitoring has been shown to be an effective method for weight loss, but it remains an onerous task despite recent advances in food journaling systems. Semi-automated food journaling can reduce the effort of logging but often requires that eating activities be detected automatically. In this work, we describe results from a feasibility […]
Paper Abstract We present a technique that uses images, videos and sensor data taken from first-person point-of-view devices to perform egocentric field-of-view (FOV) localization. We define egocentric FOV localization as capturing the visual information from a person’s field-of-view in a given environment and transferring this information onto a reference corpus of images and videos of […]
Paper Abstract A fully automated framework for video-based surgical skill assessment is presented that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. The Objective Structured Assessment of Technical Skills (OSATS) assessments is replicated, which provides both an overall and in-detail evaluation of basic suturing skills required for surgeons. Video analysis […]
Paper / Citation Abstract We propose to learn pixel-level segmentations of objects from weakly labeled (tagged) internet videos. Espe cially, given a large collection of raw YouTube content, along with potentially noisy tags, our goal is to automatically generate spatiotemporal masks for each object, such as a “dog”, without employing any pre-trained object detectors. We formulate […]
Abstract We present a novel algorithm for efficiently removing rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration-free as it does not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences. Our algorithm can perform rolling shutter removal under varying focal lengths, as in […]
Our following paper was just awarded the Excellent Paper for 2011 in Computer Vision by Google Research. Casually shot videos captured by handheld or mobile cameras suffer from significant amount of shake. Existing in-camera stabilization methods dampen high-frequency jitter but do not suppress low-frequency movements and bounces, such as those observed in videos captured by […]
Via Georgia Tech School of Interactive Computing‘s Website > Essa, Egerstedt Named IEEE Fellows. The IEEE Board of Directors has elected professors Irfan Essa and Magnus Egerstedt (both Interactive Computing) as Fellows in its Class of 2012. Essa is a professor whose research focus is in computer vision, computer graphics, computational perception, robotics and computer animation. In his […]