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Related publications (29)

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Chaining Mutual Information and Tightening Generalization Bounds

Emmanuel Abbé

Bounding the generalization error of learning algorithms has a long history, which yet falls short in explaining various generalization successes including those of deep learning. Two important difficulties are (i) exploiting the dependencies between the h ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

A Framework for Collaborative Curation of Neuroscientific Literature

Sean Lewis Hill, Christian O'Reilly, Elisabetta Iavarone

Large models of complex neuronal circuits require specifying numerous parameters, with values that often need to be extracted from the literature, a tedious and error-prone process. To help establishing shareable curated corpora of annotations, we have dev ...

Frontiers Research Foundation2017

Boundary-aware Instance Segmentation

Mathieu Salzmann

We address the problem of instance-level semantic segmentation, which aims at jointly detecting, segmenting and classifying every individual object in an image. In this context, existing methods typically propose candidate objects, usually as bounding boxe ...

Ieee2017

Spinal joint compliance and actuation in a simulated bounding quadruped robot

Auke Ijspeert, Alexander Spröwitz, Soha Pouya, Mohammad Khodabakhsh

Spine movements play an important role in quadrupedal locomotion, yet their potential benefits in locomotion of quadruped robots have not been systematically explored. In this work, we investigate the role of spinal joint actuation and compliance on the bo ...

Springer2017

SLA: to Sign or Not to Sign

Gil Regev, Alain Wegmann, Gorica Tapandjieva Sekulovska

We present our experience of a three-week fieldwork in the form of a contextual inquiry with a service manager at the EPFL IT department. During these three weeks, we encounter a refusal of a user committee to sign a service-level agreement (SLA). We descr ...

CEUR Workshop Proceedings2016

A MultiPath Network for Object Detection

Pedro Henrique Oliveira Pinheiro

The recent COCO object detection dataset presents several new challenges for object detection. In particular, it contains objects at a broad range of scales, less prototypical images, and requires more precise localization. To address these challenges, we ...

BMVA Press2016

Direct Prediction of 3D Body Poses from Motion Compensated Sequences

Pascal Fua, Vincent Lepetit, Bugra Tekin, Artem Rozantsev

We propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Previous approaches typically compute candidate poses in individual frames and then link them in a post-processi ...

2016

The Visual Object Tracking VOT2014 Challenge Results

Yang Li, Kwang Moo Yi, Bo Li, Jiri Matas

The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 38 trackers are presented. The number of tested trackers makes VOT 2014 the ...

Springer-Verlag Berlin2015

Vestibular contribution to bodily self-consciousness and multisensory cortical processing

Christian Pfeiffer

How does the self relate to the body? Bodily self-consciousness, i.e. the sense of being a subject bound to a body, involves a first-person perspective (1PP), i.e. the sense of being directed at the world. Prior research suggests that bodily self-conscious ...

EPFL2015

Protecting Circuits From Computationally Bounded And Noisy Leakage

Sebastian Faust

Physical computational devices leak side-channel information that may, and often does, reveal secret internal states. We present a general transformation that compiles any circuit into a circuit with the same functionality but resilience against well-defin ...

Siam Publications2014