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Perceiving Systems IS Colloquium Zhaoping Li 11-03-2019 A new path to understanding biological/human vision: theory and experiments Since Hubel and Wiesel's seminal findings in the primary visual cortex (V1) more than 50 years ago, progress in vision science has been very limited along previous frameworks and schools of thoughts on understanding vision. Have we been asking the right questions? I will show observations motivating the new path. First, a drastic information bottleneck forces the brain to process only a tiny fraction of the massive visual input information; this selection is called the attentional selection, how to select this tiny fraction is critical. Second, a large body of evidence has been accumu... Timo Bolkart Aamir Ahmad
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Perceiving Systems IS Colloquium Peter Dayan 21-12-2018 Mind Games Much existing work in reinforcement learning involves environments that are either intentionally neutral, lacking a role for cooperation and competition, or intentionally simple, when agents need imagine nothing more than that they are playing versions of themselves. Richer game theoretic notions become important as these constraints are relaxed. For humans, this encompasses issues that concern utility, such as envy and guilt, and that concern inference, such as recursive modeling of other players, I will discuss studies treating a paradigmatic game of trust as an interactive partia...
Perceiving Systems IS Colloquium Prof. Javier Cudeiro 08-06-2018 Lessons from the visual system to understand (and help) the brain Visual perception involves a complex interaction between feedforward and feedback processes. A mechanistic understanding of these processing, and its limitations, is a necessary first step towards elucidating key aspects of perceptual functions and dysfunctions. In this talk, I will review our ongoing effort towards the understanding of how feedback visual processing operates at the level of the thalamus, a dynamic relay station halfway between the retina and the cortex. I will present experimental evidence from several recent electrophysiology studies performed on subjects engaged in ... Daniel Cudeiro
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Perceiving Systems IS Colloquium Thabo Beeler 25-05-2018 Digital Humans At Disney Research Disney Research has been actively pushing the state-of-the-art in digitizing humans over the past decade, impacting both academia and industry. In this talk I will give an overview of a selected few projects in this area, from research into production. I will be talking about photogrammetric shape acquisition and dense performance capture for faces, eye and teeth scanning and parameterization, as well as physically based capture and modelling for hair and volumetric tissues. Timo Bolkart
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Perceiving Systems IS Colloquium Cristian Sminchisescu 24-03-2015 From Perceptual Evidence to Large-Scale Visual Recognition Models Recent progress in computer-based visual recognition heavily relies on machine learning methods trained using large scale annotated datasets. While such data has made advances in model design and evaluation possible, it does not necessarily provide insights or constraints into those intermediate levels of computation, or deep structure, perceived as ultimately necessary in order to design reliable computer vision systems. This is noticeable in the accuracy of state of the art systems trained with such annotations, which still lag behind human performance in similar tasks. Nor does the exist...
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Perceiving Systems IS Colloquium Michael Goesele 16-02-2015 Reflecting in and on the Gradient Domain Image-based rendering has been introduced in the 1990s as an alternative approach to photorealistic rendering. Its key idea is to novel renderings by re-projecting pixels from nearby views. The basic approach works well for many scenes but breaks down if the scene contains &ldquo;non-standard&rdquo; elements such as reflective surfaces. In this talk, I will first show how we can extend image-based rendering to handle scenes with reflections. I will then discuss a novel gradient-based technique for image-based rendering that can intrinsically handle scenes with reflections.</pre>
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Perceiving Systems IS Colloquium Konrad Schindler 15-10-2014 Images everywhere - computer vision with vehicle-mounted, airborne and tourist cameras I will present selected research projects of the Photogrammetry and Remote Sensing Group at ETH, including (i) 3D scene flow estimation for stereo video captured from a car; (ii) extraction of road networks from aerial images; and (iii) 3D reconstruction from large, unstructured (e.g. crowd-sourced) image collections.<br />
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Perceiving Systems IS Colloquium Christian Theobalt 14-07-2014 4D reconstruction in complex scenes, inverse rendering, advanced video editing Even though many challenges remain unsolved, in recent years computer graphics algorithms to render photo-realistic imagery have seen tremendous progress. An important prerequisite for high-quality renderings is the availability of good models of the scenes to be rendered, namely models of shape, motion and appearance. Unfortunately, the technology to create such models has not kept pace with the technology to render the imagery. In fact, we observe a content creation bottleneck, as it often takes man months of tedious manual work by a animation artists to craft models of moving virtual sce... Gerard Pons-Moll
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Perceiving Systems IS Colloquium Christoph Lampert 12-05-2014 Towards Lifelong Learning for Visual Scene Understanding <p> The goal of lifelong visual learning is to develop techniques that continuously and autonomously learn from visual data, potentially for years or decades. During this time the system should build an ever-improving base of generic visual information, and use it as background knowledge and context for solving specific computer vision tasks. In my talk, I will highlight two recent results from our group on the road towards lifelong visual scene understanding: the derivation of theoretical guarantees for lifelong learning systems and the development of practical methods for object categori... Gerard Pons-Moll
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Perceiving Systems IS Colloquium Thomas Brox 05-05-2014 Video Segmentation Compared to static image segmentation, video segmentation is still in its infancy. Various research groups have different tasks in mind when they talk of video segmentation. For some it is motion segmentation, some think of an over-segmentation with thousands of regions per video, and others understand video segmentation as contour tracking. I will go through what I think are reasonable video segmentation subtasks and will touch the issue of benchmarking. I will also discuss the difference between image and video segmentation. Due to the availability of motion and the redundancy of successi... Gerard Pons-Moll
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Perceiving Systems IS Colloquium Jiri Matas 28-04-2014 WaldBoost: Combining Sequential Analysis with Machine Learning for Solving Time-constrained Vision Problems Computer vision problems often involve optimization of two quantities, one of which is time. Such problems can be formulated as time-constrained optimization or performance-constrained search for the fastest algorithm. We show that it is possible to obtain quasi-optimal time-constrained solutions to some vision problems by applying Wald&#39;s theory of sequential decision-making. Wald assumes independence of observation, which is rarely true in computer vision. We address the problem by combining Wald&#39;s sequential probability ratio test and AdaBoost. The solution, called the WaldBoost... Gerard Pons-Moll
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Perceiving Systems IS Colloquium Edmond Boyer 20-03-2014 Multi-View Perception of Dynamic Scenes <div style="margin: 0px;"> The INRIA MORPHEO research team is working on the perception of moving shapes using multiple camera systems. Such systems allows to recover dense information on shapes and their motions using visual cues. This opens avenues for research investigations on how to model, understand and animate real dynamic shapes using several videos. In this talk I&nbsp;will more particularly focus on recent activities in the team on two fundamental components of the multi-view perception of dynamic scenes that are: (i) the recovery of time-consistent shape models or shape tracki... Gerard Pons-Moll
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Perceiving Systems IS Colloquium Bernt Schiele 10-02-2014 Towards Visual Scene Understanding - Articulated Pose Estimation and Video Description <p class="p1"> This talk will highlight recent progress on two fronts. First, we will talk about a novel image-conditioned person model that allows for effective articulated pose estimation in realistic scenarios. Second, we describe our work towards activity recognition and the ability to describe video content with natural language.&nbsp;</p> <p class="p2"> Both efforts are part of a longer-term agenda towards visual scene understanding. While visual scene understanding has long been advocated as the &quot;holy grail&quot; of computer vision, we believe it is time to address this cha...
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Perceiving Systems IS Colloquium Pascal Fua 13-01-2014 Identity Preserving Multi-People Tracking through Linear Programming <p> In this talk, I will show that, given probabilities of presence of people at various locations in individual time frames, finding the most likely set of trajectories amounts to solving a linear program that depends on very few parameters.<br /> This can be done without requiring appearance information and in real-time, by using the K-Shortest Paths algorithm (KSP). However, this can result in unwarranted identity switches in complex scenes. In such cases, sparse image information can be used within the Linear Programming framework to keep track of people&#39;s identities, even when...
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