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Luca Ballan, Institute of Visual Computing in ETH Zurich.
Tuesday 04 December 2012, 14:00-15:00
Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge
Contact: No managers listed
0 upcoming talks View 126 archived talks
Microsoft Research Machine Learning and Perception Seminars
From motion capture of interacting hands to video based rendering.
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Microsoft Research Machine Learning and Perception Seminars
Spectral Edge: Making the Invisible Visible
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Microsoft Research Machine Learning and Perception Seminars
Towards ad hoc interactions with robots
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Microsoft Research Machine Learning and Perception Seminars
From the Information Extraction Pipeline to Global Models, and Back
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Microsoft Research Machine Learning and Perception Seminars
Capture of dynamic scene using multiple cameras provides rich spatial-temporal information that can be used for solving challenging computer vision problems.
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Microsoft Research Machine Learning and Perception Seminars
Tell Me Where You’ve Lived and What You Want -- I’ll Tell You What You Like and Need
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Microsoft Research Machine Learning and Perception Seminars
Latent Hough Transform for Object Detection
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Microsoft Research Machine Learning and Perception Seminars
Context sensitive information: Which bits matter in data?
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Microsoft Research Machine Learning and Perception Seminars
SmartDesign: Living with Geometric Complexity
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Microsoft Research Machine Learning and Perception Seminars
Part A: Non-parametric image optimization & Part B: Crowdsourcing gaze data collection
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Microsoft Research Machine Learning and Perception Seminars
The Inverted Multi-Index
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Microsoft Research Machine Learning and Perception Seminars
Topic Models for Human Activity Understanding
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Microsoft Research Machine Learning and Perception Seminars
ORCHID: Human-agent collectives for disaster response and the smart grid
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Microsoft Research Machine Learning and Perception Seminars
Sequential Decision Making in Experimental Design and Sustainability via Adaptive Submodularity
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Microsoft Research Machine Learning and Perception Seminars
Exploiting Variable Impedance for Robotics: Mimic or Optimize?
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Microsoft Research Machine Learning and Perception Seminars
Closing the gap between weakly and fully supervised methods
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Microsoft Research Machine Learning and Perception Seminars
Beyond the Piece of Cardboard: Learning to Adjust Photographs
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Microsoft Research Machine Learning and Perception Seminars
PARIS: Probabilistic Alignment of Relations, Instances, and Schema
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Microsoft Research Machine Learning and Perception Seminars
Probabilistic programs and the computability and complexity of Bayesian reasoning
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Microsoft Research Machine Learning and Perception Seminars
Exclusive Pólya Urns and their applications
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Microsoft Research Machine Learning and Perception Seminars
Information-Greedy Global Optimisation
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Microsoft Research Machine Learning and Perception Seminars
Mechanism Design without Money via Stable Matching
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Microsoft Research Machine Learning and Perception Seminars
SocialFusion: Fusing Mobile, Sensor, and Social Computing in the Cloud To Enable Next-Generation Context-Aware Applications
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Microsoft Research Machine Learning and Perception Seminars
Principles of Humanoid Locomotion Control
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Microsoft Research Machine Learning and Perception Seminars
Enforcing topological constraints in energy-based image segmentation
Microsoft Research Machine Learning and Perception Seminars
On a first-order primal-dual algorithm with applications to convex problems in computer vision
Microsoft Research Machine Learning and Perception Seminars
Handling temporal variation of unknown characteristics in streaming data analysis.
Microsoft Research Machine Learning and Perception Seminars
Bayesian Inference with Kernels
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Bayesian Inference with Kernels
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Statistical Significance Analysis of Motif Discovery
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Affective Technology
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Probabilistic models for time-series with different underlying dynamics regimes with application to robot imitation learning
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Engineering Genetic Circuits
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Food Webs, and how they got that way
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Testing and fault localization in constraint programs
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Towards Systematic Design of Enterprise Networks
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Noise and the two-thirds power law
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Frugality in set-system auctions
⚠️ Edith Elkind, Nanyang Technological University, Singapore
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The Little Engine(s) that could: Scaling Online Social Networks
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Search methods based on Monte-Carlo simulation
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Information Asymmetries in Pay-Per-Bid Auctions: How Swoopo Makes Bank
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Post-Silicon Validation: New Frontiers for Formal Verification Research
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Using transformed domains to sparsify Gaussian Processes
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Using transformed domains to sparsify Gaussian Processes
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How can we use digital pens in a collaborative environment?
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Symbolic Techniques in Propositional Satisfiability Solving
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Images as Sets of Locally Weighted Features
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Hermes: Clustering Users in Large-Scale E-mail Services
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Practical performance models for complex, popular applications
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Before pixels
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A proof rule for multi-threaded programs
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Prof. Robert Nowak, University of Wisconsin; MSR Lectures
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Derek Dreyer, MPI-SWS; Microsoft Research Lectures
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On Bayes-Nash implementation of combinatorial auctions: structure and efficiency
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Abstract Interpretation for Liveness using Metric Spaces
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Static Verification of Concurrent Programs using Reduction and Abstraction
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The State of Secondary Level Computer Science Education in the USA
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Incremental Modelling and Verification of the PCI Express Transaction and Data-Link Layers
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A comparison of some recent task-centric parallel programming models
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Secrets of the Microsoft SQL Server Query Optimizer
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Building Algorithms for FPGAs
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Learning, Planning and Representing Knowledge from Primitive Experience
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Submodularity and Valued Constraint Satisfaction Problems
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Opportunistic Spectrum Access with Multiple Users: Learning under Competition
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Sparse Model Recovery via Iterative Algorithms
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Proactive Resilience Revisited: Resisting Intrusions means more than Byzantine Fault Tolerance
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Incremental Modelling and Verification of the PCI Express Transaction and Data-Link Layers
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Abandoning Prenex Clausal Normal Form in QBF Solving
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Michael Weber, University of Twente; Microsoft Research Lectures
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Datalog+/- : A Framework for Tractable Query Answering over Ontologies
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Stationary Subspace Analysis
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You are not a gadget
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L_p-Spherically Symmetric and L_p-nested Distributions for Patches of Natural Images
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Efficient Bayesian Model Comparison with Differential Equations: a Population MCMC Approach via the Thermodynamic Integral
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Riemannian Manifold Hamiltonian Monte Carlo
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Inferring Signaling Pathway Topologies from Multiple Perturbation Measurements of Specific Biochemical Species : A model-based approach
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Predicting biological functions at different spatial scales: From molecules to ecosystems
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Proving the Correctness of Abstract Concurrency Control and Recovery
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Nesting Transactions: Why and What Do We Need?
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Statistical network analysis in computational genomics
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Machine Learning Reveals the Genetic Code Controlling Splicing
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From Verification to Synthesis
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Systems and networking research at MSR Cambridge
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The executable pathway to biological networks
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Towards a Network Measurement Science
CoSBi Computational and Systems Biology Series
Analyzing the effect of noise on various models of Circadian Clock and Cell Cycle coupling
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Topological keystone species: network analysis in modern systems ecology
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Complexity and Robustness in Colonies of Agents: A Formal Languages and a Game Theory Approach
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Domain Knowledge Driven Program Analysis
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Robot Scientists and the automated scientific laboratory
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Study disease-causing genes based on protein-protein interaction networks
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Stochastic simulation algorithms and analysis of biological systems
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Model Abstraction Methodology for Temporal Behavior Analysis of Multiscale Biological Systems
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Chemotaxis. Do we understand it all?
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Dynamics of cell cycle transitions
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Exploiting non-Markovian Bio-Processes within BlenX
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A parallel perspective of the dynamics of biological reactive systems
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KInfer and BetaWB: tools for supporting the modeling workflow of Biological Systems
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A Framework study of the NF-kB signalling pathway
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On the deduction of chemical reaction rate constants from measurements of time series of concentration
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Evolutionary computation: optimization and inference
Dr Fabien Petitcolas's list
Kids Today Have No Sense of Privacy?
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On Automatic Quantitative Verification of Biological Systems
⚠️ Time changed
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BlenX, a language based approach for modelling biological systems
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Exactness and Approximation of the Stochastic Simulation Algorithm
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Colonies of Synchronizing Agents: Computability and Robustness
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Computational analysis of the connection between cell cycle and circadian rhythm
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Physics-Based Human Motion Models for Animation and Tracking
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Bayesian network structure learning from uncertain interventions
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Generative models for audio and music processing
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identity variables for face recognition: from distance based methods to probabilistic inference
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Accelerating Discovery: A Grand Challenge for HCI
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A Bayesian model that links microarray mRNA measurements to mass spectrometry protein measurements
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Motion Tracking
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A complete set of rotationally and translationally invariant features based on a generalization of the bispectrum to non-commutative groups
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Reverse Engineering the Human Visual System with Networks of Spiking Neurons
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Where’s my rocket? – Stochastic simulations of rocket flight paths
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Learning Conditional Random Fields with Hierarchical Features: Application to the Game of Go
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Constraint Programming Techniques for Virtual Camera Control
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Learning microRNA regulatory networks from genomic sequence and expression data
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