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Aug 13, 2017
Conferences: ICCV
Computer Vision

Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-…

Vehicle re-identification is an important problem and has many applications in video surveillance and intelligent transportation. It gains increasing…
May 24, 2017
Conferences: CVPR
Computer Vision

Attention-based Natural Language Person Retrieval

Following the recent progress in image classification and captioning using deep learning, we develop a novel natural language person retrieval system…
Dec 14, 2016
Conferences: CVPR
Computer Vision

Finding Tiny Faces

Though tremendous strides have been made in object recognition, one of the remaining open challenges is detecting small objects. We explore three asp…
Dec 04, 2017
Conferences: CVPR
Computer Vision

Towards Faster Training of Global Covariance Pooling Networks by It…

Global covariance pooling in convolutional neural networks has achieved impressive improvement over the classical first-order pooling. Recent works h…
Oct 23, 2016
Conferences: NIPS
Machine Learning

Learning Deep Architectures for Interaction Prediction in Structure…

We introduce a deep learning architecture for structure-based virtual screening that generates fixed-sized fingerprints of proteins and small molecul…
Jul 26, 2016
Conferences: ECCV
Computer Vision

Semantic Clustering for Robust Fine-Grained Scene Recognition

In domain generalization, the knowledge learnt from one or multiple source domains is transferred to an unseen target domain. In this work, we propos…
Apr 06, 2018
Conferences: CVPR
Computer Vision
Machine Learning

Mix and match networks: encoder-decoder alignment for zero-pair image…

We address the problem of image translation between domains or modalities for which no direct paired data is available (i.e. zero-pair translation). …
Aug 14, 2016
Conferences: ECCV
Computer Vision

SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscop…

Region-based methods have proven necessary for improving segmentation accuracy of neuronal structures in electron microscopy (EM) images. Most region…
Apr 13, 2017
Conferences: ICCV
Machine Learning
Computer Vision

Close Yet Distinctive Domain Adaptation

Domain adaptation is transfer learning which aims to generalize a learning model across training and testing data with different distributions. Most …
Jul 19, 2017
Conferences: MICCAI
Computer Vision
Machine Learning

Deformable Registration through Learning of Context-Specific Metric …

We propose a novel weakly supervised discriminative algorithm for learning context specific registration metrics as a linear combination of conventio…
Apr 09, 2018
Conferences: ECCV
Computer Vision
Fluid Dynamics

3D Fluid Flow Estimation with Integrated Particle Reconstruction

The standard approach to densely reconstruct the motion in a volume of fluid is to inject high-contrast tracer particles and record their motion with…
Mar 09, 2017
Conferences: IROS
Robotics
Computer Vision

A Self-supervised Learning System for Object Detection using Physics …

Progress has been achieved recently in object detection given advancements in deep learning. Nevertheless, such tools typically require a large amoun…
Mar 28, 2017
Conferences: ICCV
Computer Vision

Coordinating Filters for Faster Deep Neural Networks

Very large-scale Deep Neural Networks (DNNs) have achieved remarkable successes in a large variety of computer vision tasks. However, the high comput…
Jun 08, 2011
Conferences: ICML
Machine Learning

Large-Scale Convex Minimization with a Low-Rank Constraint

We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in gen…
Dec 18, 2016
Conferences: CVPR
Computer Vision

3D Shape Induction from 2D Views of Multiple Objects

In this paper we investigate the problem of inducing a distribution over three-dimensional structures given two-dimensional views of multiple objects…
Jul 13, 2017
Conferences: CVPR
Computer Vision
Artificial Intelligence
Multimedia

Disentangling Motion, Foreground and Background Features in Videos

This paper introduces an unsupervised framework to extract semantically rich features for video representation. Inspired by how the human visual syst…
May 28, 2016
Conferences: CVPR
Algebraic Topology
Computational Geometry
Computer Vision
Differential Geometry
Statistics Theory

A Riemannian Framework for Statistical Analysis of Topological Pers…

Topological data analysis is becoming a popular way to study high dimensional feature spaces without any contextual clues or assumptions. This paper …
Apr 06, 2016
Conferences: CVPR
Computer Vision

LOMo: Latent Ordinal Model for Facial Analysis in Videos

We study the problem of facial analysis in videos. We propose a novel weakly supervised learning method that models the video event (expression, pain…
Oct 16, 2015
Conferences: ICLR
Computation and Language
Computer Vision
Machine Learning
Neural and Evolutionary Computation

Multilingual Image Description with Neural Sequence Models

In this paper we present an approach to multi-language image description bringing together insights from neural machine translation and neural image …
Mar 01, 2018
Conferences: ICRA
Robotics

Learning Human-Aware Path Planning with Fully Convolutional Networks

This work presents an approach to learn path planning for robot social navigation by demonstration. We make use of Fully Convolutional Neural Network…
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