The proceedings contain 231 papers. The topics discussed include: stability effects of finite difference methods on a mathematical tumor growth model;learning high-dimensional image statistics for abnormality detectio...
ISBN:
(纸本)9781424470297
The proceedings contain 231 papers. The topics discussed include: stability effects of finite difference methods on a mathematical tumor growth model;learning high-dimensional image statistics for abnormality detection on medical images;predicting the histology of colorectal lesions in a probabilistic framework;dense photometric stereo reconstruction on many core GPUs;automatic change detection in an indoor environment;image quality assessment using a rotated Gaussian discrimination function;people trajectory mining with statistical patternrecognition;action recognition by employing combined directional motion history and energy images;immersive and perceptual human-computer interaction using computervision techniques;a socio-technical approach for event detection in security critical infrastructure;dense spatio-temporal motion segmentation for tracking multiple self-occluding people;and real-time classification of pedestrians and cyclists for intelligent counting of non-motorized traffic.
The proceedings contain 143 papers. The topics discussed include: single-view obstacle detection for smart back-up camera systems;high-speed line-scan camera with multi-line CMOS color sensor;stereo vision embedded sy...
ISBN:
(纸本)9781467316118
The proceedings contain 143 papers. The topics discussed include: single-view obstacle detection for smart back-up camera systems;high-speed line-scan camera with multi-line CMOS color sensor;stereo vision embedded system for augmented reality;feature detection and matching on an SIMD/MIMD hybrid embedded processor;head-tracking virtual 3-D display for mobile devices;spatiotemporal multiple persons tracking using dynamic vision sensor;real-time body motion analysis for dance patternrecognition;embedded smart sensor for outdoor parking lot lighting control;embedded fall detection with a neural network and bio-inspired stereo vision;a GPU accelerated fast directional chamfer matching algorithm and a detailed comparison with a highly optimized CPU implementation;event-driven embodied system for feature extraction and object recognition in robotic applications;and a CPU-GPU hybrid people counting system for real-world airport scenarios using arbitrary oblique view cameras.
The proceedings contain 156 papers. The topics discussed include: real-time mobile food recognition system;style finder: fine-grained clothing style detection and retrieval;stereo camera tracking for mobile devices;to...
ISBN:
(纸本)9780769549903
The proceedings contain 156 papers. The topics discussed include: real-time mobile food recognition system;style finder: fine-grained clothing style detection and retrieval;stereo camera tracking for mobile devices;towards auto-calibration of smart phones using orientation sensors;detection of moving objects with non-stationary cameras in 5.8ms: bringing motion detection to your mobile device;mobile video capture of multi-page documents;collision detection for visually impaired from a body-mounted camera;video demo: an egocentric vision based assistive co-robot;mobile exergames - burn calories while playing games on a smartphone;a mobile vision system for fast and accurate ellipse detection;stabilization of magnified videos on a mobile device for visually impaired;and an augmented linear discriminant analysis approach for identifying identical twins with the aid of facial asymmetry features.
The proceedings contain 146 papers. The topics discussed include: textured 3D face recognition using biological vision-based facial representation and optimized weighted sum fusion;a method for object localization in ...
ISBN:
(纸本)9781457705298
The proceedings contain 146 papers. The topics discussed include: textured 3D face recognition using biological vision-based facial representation and optimized weighted sum fusion;a method for object localization in a multiview multimodal camera system;real-time tracking of unconstrained full-body motion using niching swarm filtering combined with local optimization;activity related biometric authentication using spherical harmonics;joint gait-pose manifold for video-based human motion estimation;learning human behaviour patterns in work environments;an optimized silicon retina stereo matching algorithm using time-space correlation;face recognition system using extended curvature Gabor classifier bunch for low-resolution face image;analysis of patterns of motor behavior in gamers with down syndrome;dense shape correspondences using spectral high-order graph matching;and pedestrian sensing using time-of-flight range camera.
The proceedings contain 802 papers. The topics discussed include: X-VARS: introducing explainability in football refereeing with multi-modal large language models;a hybrid ANN-SNN architecture for low-power and low-la...
ISBN:
(纸本)9798350365474
The proceedings contain 802 papers. The topics discussed include: X-VARS: introducing explainability in football refereeing with multi-modal large language models;a hybrid ANN-SNN architecture for low-power and low-latency visual perception;pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions;towards efficient audio-visual learners via empowering pre-trained vision transformers with cross-modal adaptation;a dual-mode approach for vision-based navigation in a lunar landing scenario;class similarity transition: decoupling class similarities and imbalance from generalized few-shot segmentation;ReweightOOD: loss reweighting for distance-based OOD detection;Hinge-Wasserstein: estimating multimodal aleatoric uncertainty in regression tasks;and ConPro: learning severity representation for medical images using contrastive learning and preference optimization.
The proceedings contain 355 papers. The topics discussed include: MultiNet++: multi-stream feature aggregation and geometric loss strategy for multi-task learning;privacy-preserving action recognition using coded aper...
ISBN:
(纸本)9781728125060
The proceedings contain 355 papers. The topics discussed include: MultiNet++: multi-stream feature aggregation and geometric loss strategy for multi-task learning;privacy-preserving action recognition using coded aperture videos;evading face recognition via partial tampering of faces;privacy-preserving annotation of face images through attribute-preserving face synthesis;towards deep neural network training on encrypted data;fooling automated surveillance cameras: adversarial patches to attack person detection;anonymousnet: natural face de-identification with measurable privacy;regularizer to mitigate gradient masking effect during single-step adversarial training;privacy preserving group membership verification and identification;defending against adversarial attacks using random forest;intersection to overpass: instance segmentation on filamentous structures with an orientation-aware neural network and terminus pairing algorithm;and surface parameterization and registration for statistical multiscale atlasing of organ development.
The proceedings contain 561 papers. The topics discussed include: CORE: consistent representation learning for face forgery detection;aria: adversarially robust image attribution for content provenance;the reliability...
ISBN:
(纸本)9781665487399
The proceedings contain 561 papers. The topics discussed include: CORE: consistent representation learning for face forgery detection;aria: adversarially robust image attribution for content provenance;the reliability of forensic body-shape identification;detecting real-time deep-fake videos using active illumination;on the exploitation of deepfake model recognition;is synthetic voice detection research going into the right direction?;on improving cross-dataset generalization of deepfake detectors;rethinking adversarial examples in wargames;privacy leakage of adversarial training models in federated learning systems;towards comprehensive testing on the robustness of cooperative multi-agent reinforcement learning;robustness and adaptation to hidden factors of variation;adversarial robustness through the lens of convolutional filters;RODD: a self-supervised approach for robust out-of-distribution detection;an empirical study of data-free quantization’s tuning robustness;exploring robustness connection between artificial and natural adversarial examples;and adversarial machine learning attacks against video anomaly detection systems.
The proceedings contain 516 papers. The topics discussed include: OmniLayout: room layout reconstruction from indoor spherical panoramas;boosting adversarial robustness using feature level stochastic smoothing;beyond ...
ISBN:
(纸本)9781665448994
The proceedings contain 516 papers. The topics discussed include: OmniLayout: room layout reconstruction from indoor spherical panoramas;boosting adversarial robustness using feature level stochastic smoothing;beyond joint demosaicking and denoising: an image processing pipeline for a pixel-bin image sensor;assessment of deep learning based blood pressure prediction from PPG and rPPG signals;towards domain-specific explainable AI: model interpretation of a skin image classifier using a human approach;DAMSL: domain agnostic meta score-based learning;deep learning based spatial-temporal in-loop filtering for versatile video coding;automated tackle injury risk assessment in contact-based sports - a rugby union example;two-stage network for single image super-resolution;and ***: dataset for automatic mapping of buildings, woodlands, water and roads from aerial imagery.
The proceedings contain 523 papers. The topics discussed include: latent fingerprint image enhancement based on progressive generative adversarial network;zero-shot learning in the presence of hierarchically coarsened...
ISBN:
(纸本)9781728193601
The proceedings contain 523 papers. The topics discussed include: latent fingerprint image enhancement based on progressive generative adversarial network;zero-shot learning in the presence of hierarchically coarsened labels;multivariate confidence calibration for object detection;context-guided super-class inference for zero-shot detection;learning sparse ternary neural networks with entropy-constrained trained ternarization (EC2T);now that i can see, i can improve: enabling data-driven finetuning of CNNs on the edge;enhancing facial data diversity with style-based face aging;a simplified framework for zero-shot cross-modal sketch data retrieval;unsupervised single image super-resolution network (USISResNet) for real-world data using generative adversarial network;cross-regional oil palm tree detection;and leaf spot attention network for apple leaf disease identification.
The proceedings contain 698 papers. The topics discussed include: learning unbiased classifiers from biased data with meta-learning;robustness against gradient based attacks through cost effective network fine-tuning;...
ISBN:
(纸本)9798350302493
The proceedings contain 698 papers. The topics discussed include: learning unbiased classifiers from biased data with meta-learning;robustness against gradient based attacks through cost effective network fine-tuning;gradient attention balance network: mitigating face recognition racial bias via gradient attention;estimating and maximizing mutual information for knowledge distillation;synthetic sample selection for generalized zero-shot learning;training strategies for vision transformers for object detection;does image anonymization impact computervision training?;ultra-sonic sensor based object detection for autonomous vehicles;improvements to image reconstruction-based performance prediction for semantic segmentation in highly automated driving;zero-shot classification at different levels of granularity;difficulty estimation with action scores for computervision tasks;detail-preserving self-supervised monocular depth with self-supervised structural sharpening;isolated sign language recognition based on tree structure skeleton images;deep prototypical-parts ease morphological kidney stone identification and are competitively robust to photometric perturbations;wildlife image generation from scene graphs;towards characterizing the semantic robustness of face recognition;high-level context representation for emotion recognition in images;and mitigating catastrophic interference using unsupervised multi-part attention for RGB-IR face recognition.
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