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 437 papers. The topics discussed include: efficient marginal likelihood optimization in blind deconvolution;natural image denoising: optimality and inherent bounds;a Sobolev-type metric for pol...
ISBN:
(纸本)9781457703942
The proceedings contain 437 papers. The topics discussed include: efficient marginal likelihood optimization in blind deconvolution;natural image denoising: optimality and inherent bounds;a Sobolev-type metric for polar active contours;multi-target tracking by continuous energy minimization;towards cross-category knowledge propagation for learning visual concepts;are sparse representations really relevant for image classification?;smoothly varying affine stitching;noise resistant graph ranking for improved web image search;real-time human pose recognition in parts from single depth images;online domain adaptation of a pre-trained cascade of classifiers;learning effective human pose estimation from inaccurate annotation;shape grammar parsing via reinforcement learning;parameter learning with truncated message-passing;and structured light 3D scanning in the presence of global illumination.
The proceedings contain 1658 papers. The topics discussed include: single-stage instance shadow detection with bidirectional relation learning;learning Delaunay surface elements for mesh reconstruction;fusing the old ...
ISBN:
(纸本)9781665445092
The proceedings contain 1658 papers. The topics discussed include: single-stage instance shadow detection with bidirectional relation learning;learning Delaunay surface elements for mesh reconstruction;fusing the old with the new: learning relative camera pose with geometry-guided uncertainty;uncertainty guided collaborative training for weakly supervised temporal action detection;privacy-preserving collaborative learning with automatic transformation search;rethinking and improving the robustness of image style transfer;style-aware normalized loss for improving arbitrary style transfer;faster meta update strategy for noise-robust deep learning;a hyperbolic-to-hyperbolic graph convolutional network;training networks in null space of feature covariance for continual learning;and exponential moving average normalization for self-supervised and semi-supervised learning.
The proceedings contain 1294 papers. The topics discussed include: finding task-relevant features for few-shot learning by category traversal;edge-labeling graph neural network for few-shot learning;generating classif...
ISBN:
(纸本)9781728132938
The proceedings contain 1294 papers. The topics discussed include: finding task-relevant features for few-shot learning by category traversal;edge-labeling graph neural network for few-shot learning;generating classification weights with GNN denoising autoencoders for few-shot learning;kervolutional neural networks;why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem;on the structural sensitivity of deep convolutional networks to the directions of fourier basis functions;hardness-aware deep metric learning;auto-deeplab: hierarchical neural architecture search for semantic image segmentation;striking the right balance with uncertainty;and SDRSAC: semidefinite-based randomized approach for robust point cloud registration without correspondences.
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 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 2356 papers. The topics discussed include: exploring discontinuity for video frame interpolation;two-view geometry scoring without correspondences;language-guided audio-visual source separation...
ISBN:
(纸本)9798350301298
The proceedings contain 2356 papers. The topics discussed include: exploring discontinuity for video frame interpolation;two-view geometry scoring without correspondences;language-guided audio-visual source separation via trimodal consistency;handwritten text generation from visual archetypes;Bayesian posterior approximation with stochastic ensembles;ERM-KTP: knowledge-level machine unlearning via knowledge transfer;PlenVDB: memory efficient VDB-based radiance fields for fast training and rendering;learning and aggregating lane graphs for urban automated driving;teaching matters: investigating the role of supervision in vision transformers;NeuralField-LDM: scene generation with hierarchical latent diffusion models;cut and learn for unsupervised object detection and instance segmentation;probabilistic debiasing of scene graphs;and unifying layout generation with a decoupled diffusion model.
The proceedings contain 461 papers. The topics discussed include: object-graphs for context-aware category discovery;modeling mutual context of object and human pose in human-object interaction activities;the chains m...
ISBN:
(纸本)9781424469840
The proceedings contain 461 papers. The topics discussed include: object-graphs for context-aware category discovery;modeling mutual context of object and human pose in human-object interaction activities;the chains model for detecting parts by their context;detecting and sketching the common;high performance object detection by collaborative learning of joint ranking of granule features;toward coherent object detection and scene layout understanding;fast globally optimal 2D human detection with loopy graph models;theory of phase-sensitive rotation invariance with spherical harmonic and moment-based representations;multi-class object localization by combining local contextual interactions;exploiting hierarchical context on a large database of object categories;learning appearance in virtual scenarios for pedestrian detection;a new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid;and learning from interpolated images using neural networks for digital forensics.
The proceedings contain 506 papers. The topics discussed include: face shape recovery from a single image using CCA mapping between tensor spaces;classifiability-based optimal discriminatory projection pursuit;blindly...
ISBN:
(纸本)9781424422432
The proceedings contain 506 papers. The topics discussed include: face shape recovery from a single image using CCA mapping between tensor spaces;classifiability-based optimal discriminatory projection pursuit;blindly separating mixtures of multiple layers with spatial shifts;structure-perceptron learning of a hierarchical log-linear model;unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition;classification via semi-Riemannian spaces;mining compositional features for boosting;context-aware clustering;locally adaptive learning for translation-variant MRF image priors;semi-supervised SVM batch mode active learning for image retrieval;semi-supervised distance metric learning for collaborative image retrieval;multiple-instance ranking: learning to rank images for image retrieval;correlational spectral clustering;and a parallel decomposition solver for SVM: distributed dual ascend using fenchel duality.
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.
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