The proceedings contain 602 papers. The topics discussed include: going deeper with convolutions;propagated image filtering;web scale photo hash clustering on a single machine;supervised discrete hashing;what do 15,00...
ISBN:
(纸本)9781467369640
The proceedings contain 602 papers. The topics discussed include: going deeper with convolutions;propagated image filtering;web scale photo hash clustering on a single machine;supervised discrete hashing;what do 15,000 object categories tell us about classifying and localizing actions?;landmarks-based kernelized subspace alignment for unsupervised domain adaptation;blur kernel estimation using normalized color-line priors;a light transport model for mitigating multipath interference in time-of-flight sensors;traditional saliency reloaded: a good old model in new shape;automatic construction of robust spherical harmonic subspaces;leveraging stereo matching with learning-based confidence measures;saliency detection via cellular automata;and efficient sparse-to-dense optical flow estimation using a learned basis and layers.
The proceedings contain 539 papers. The topics discussed include: fast and accurate image matching with cascade hashing for 3D reconstruction;minimal solvers for relative pose with a single unknown radial distortion;s...
ISBN:
(纸本)9781479951178
The proceedings contain 539 papers. The topics discussed include: fast and accurate image matching with cascade hashing for 3D reconstruction;minimal solvers for relative pose with a single unknown radial distortion;spectral graph reduction for efficient image and streaming video segmentation;video motion segmentation using new adaptive manifold denoising model;event detection using multi-level relevance labels and multiple features;full-angle quaternions for robustly matching vectors of 3D rotations;semi-supervised spectral clustering for image set classification;learning mid-level filters for person re-identification;DeepReID: deep filter pairing neural network for person re-identification;NMF-KNN: image annotation using weighted multi-view non-negative matrix factorization;beyond comparing image pairs: setwise active learning for relative attributes;and histograms of pattern sets for image classification and object recognition.
The proceedings contain 979 papers. The topics discussed include: embodied question answering;learning by asking questions;finding tiny faces in the wild with generative adversarial network;paired CycleGAN: asymmetric...
ISBN:
(纸本)9781538664209
The proceedings contain 979 papers. The topics discussed include: embodied question answering;learning by asking questions;finding tiny faces in the wild with generative adversarial network;paired CycleGAN: asymmetric style transfer for applying and removing makeup;learning pose specific representations by predicting different views;weakly and semi supervised human body part parsing via pose-guided knowledge transfer;person transfer GAN to bridge domain gap for person re-identification;cross-modal deep variational hand pose estimation;disentangled person image generation;super-fan: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs;multistage adversarial losses for pose-based human image synthesis;and a certifiably globally optimal solution to the non-minimal relative pose problem.
The proceedings contain 781 papers. The topics discussed include: exclusivity-consistency regularized multi-view subspace clustering;borrowing treasures from the wealthy: deep transfer learning through selective joint...
The proceedings contain 781 papers. The topics discussed include: exclusivity-consistency regularized multi-view subspace clustering;borrowing treasures from the wealthy: deep transfer learning through selective joint fine-tuning;the more you know: using knowledge graphs for image classification;dynamic edge-conditioned filters in convolutional neural networks on graphs;convolutional neural network architecture for geometric matching;deep affordance-grounded sensorimotor object recognition;on compressing deep models by low rank and sparse decomposition;unsupervised pixel-level domain adaptation with generative adversarial networks;photo-realistic single image super-resolution using a generative adversarial network;a practical method for fully automatic intrinsic camera calibration using directionally encoded light;elastic shape-from-template with spatially sparse deforming forces;and distinguishing the indistinguishable: exploring structural ambiguities via geodesic context.
The proceedings contain 626 papers. The topics discussed include: learning to match aerial images with deep attentive architectures; learnt quasi-transitive similarity for retrieval from large collections of faces; un...
ISBN:
(纸本)9781467388511
The proceedings contain 626 papers. The topics discussed include: learning to match aerial images with deep attentive architectures; learnt quasi-transitive similarity for retrieval from large collections of faces; unsupervised learning from narrated instruction videos; action recognition in video using sparse coding and relative features; recognizing emotions from abstract paintings using non-linear matrix completion; rolling shutter absolute pose problem with known vertical direction; memory efficient max flow for multi-label submodular MRFs; recovering the missing link: predicting class-attribute associations for unsupervised zero-shot learning; neural module networks; multi-cue zero-shot learning with strong supervision; social LSTM: human trajectory prediction in crowded spaces; NetVLAD: CNN architecture for weakly supervised place recognition; 3D semantic parsing of large-scale indoor spaces; efficient indexing of billion-scale datasets of deep descriptors; analyzing classifiers: Fisher vectors and deep neural networks; and GIFT: a real-time and scalable 3d shape search engine.
The proceedings contain 640 papers. The topics discussed include: generation and comprehension of unambiguous object description;image question answering using convolutional neural network with dynamic parameter predi...
ISBN:
(纸本)9781467388504
The proceedings contain 640 papers. The topics discussed include: generation and comprehension of unambiguous object description;image question answering using convolutional neural network with dynamic parameter prediction;neural module networks;learning to assign orientations to feature points;affinity CNN: learning pixel-centric pairwise relations for figure/ground embedding;occlusion boundary detection via deep exploration of context;exploit bounding box annotations for multi-label object recognition;MCMC shape sampling for image segmentation with nonparametric shape priors;learning action maps of large environments via first-person vision;sample and filter: nonparametric scene parsing via efficient filtering;training region-based object detectors with online hard example mining;learning with side information through modality hallucination;HyperNet: towards accurate region proposal generation and joint object detection;macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight;ASP vision: optically computing the first layer of convolutional neural networks using angle sensitive pixels;hierarchical recurrent neural encoder for video representation with application to captioning;and from keyframes to key objects: video summarization by representative object proposal selection.
conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover...
conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original conference proceedings.
暂无评论