Description

Book Synopsis

.- Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval.
.- Rethinking Sparse Lexical Representations for Image Retrieval in the Age
of Rising Multi-Modal Large Language Models.
.- Boundary Attention: Learning curves, corners, junctions and grouping.
.- Deep Learning Meets Satellite Images - An Evaluation on Handcrafted and
Learning-based Features for Multi-date Satellite Stereo Images.
.- Image Color Consistency in Datasets: The Smooth-TPS3D Method.
.- Unsupervised Video Summarization: A Reconstruction Model with Proximal
Gradient Methods.
.- TF-OCM: Training Free Optimal Community Matching for Domain Generalized Few Shot Learning.
.- Perspective-Equivariance for Unsupervised Imaging with Camera Geometry.
.- Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications.
.- Calibration of Network Confidence for Unsupervised Domain Adaptation
Using Estimated Accuracy.
.- Logit disagreement: OoD Detection with Bayesian Neural Networks.
.- Can Your Generative Model Detect Out-of-Distribution Covariate Shift?.
.- Multi-label out-of-distribution detection via evidential learning.
.- UTrack: Multi-Object Tracking with Uncertain Detections.
.- TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection.
.- Sanity Checks for Explanation Uncertainty.
.- Sources of Uncertainty in 3D Scene Reconstruction.
.- The BRAVO Semantic Segmentation Challenge Results in UNCV2024.
.- Maximally Separated Active Learning.
.- Hyperbolic Metric Learning for Visual Outlier Detection.
.- A Bottom-Up Approach to Class-Agnostic Image Segmentation.
.- Adversarial Attacks on Hyperbolic Networks.
.- Hyperbolic Learning with Multimodal Large Language Models.
.- Embedding Geometries of Contrastive Language-Image Pre-Training.
.- Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
.- ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based
Formulation.
.- Backward-Compatible Aligned Representations via Orthogonal Transformation Layer.

Computer Vision ECCV 2024 Workshops

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    A Paperback by Alessio Del Bue

    15 in stock


      View other formats and editions of Computer Vision ECCV 2024 Workshops by Alessio Del Bue

      Publisher: Springer
      Publication Date: 06/06/2025
      ISBN13: 9783031915840, 978-3031915840
      ISBN10:
      Also in:
      Computing Image processing

      Description

      Book Synopsis

      .- Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval.
      .- Rethinking Sparse Lexical Representations for Image Retrieval in the Age
      of Rising Multi-Modal Large Language Models.
      .- Boundary Attention: Learning curves, corners, junctions and grouping.
      .- Deep Learning Meets Satellite Images - An Evaluation on Handcrafted and
      Learning-based Features for Multi-date Satellite Stereo Images.
      .- Image Color Consistency in Datasets: The Smooth-TPS3D Method.
      .- Unsupervised Video Summarization: A Reconstruction Model with Proximal
      Gradient Methods.
      .- TF-OCM: Training Free Optimal Community Matching for Domain Generalized Few Shot Learning.
      .- Perspective-Equivariance for Unsupervised Imaging with Camera Geometry.
      .- Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications.
      .- Calibration of Network Confidence for Unsupervised Domain Adaptation
      Using Estimated Accuracy.
      .- Logit disagreement: OoD Detection with Bayesian Neural Networks.
      .- Can Your Generative Model Detect Out-of-Distribution Covariate Shift?.
      .- Multi-label out-of-distribution detection via evidential learning.
      .- UTrack: Multi-Object Tracking with Uncertain Detections.
      .- TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection.
      .- Sanity Checks for Explanation Uncertainty.
      .- Sources of Uncertainty in 3D Scene Reconstruction.
      .- The BRAVO Semantic Segmentation Challenge Results in UNCV2024.
      .- Maximally Separated Active Learning.
      .- Hyperbolic Metric Learning for Visual Outlier Detection.
      .- A Bottom-Up Approach to Class-Agnostic Image Segmentation.
      .- Adversarial Attacks on Hyperbolic Networks.
      .- Hyperbolic Learning with Multimodal Large Language Models.
      .- Embedding Geometries of Contrastive Language-Image Pre-Training.
      .- Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
      .- ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based
      Formulation.
      .- Backward-Compatible Aligned Representations via Orthogonal Transformation Layer.

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