Computer Vision - ACCV 2020 : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part VI /

The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ishikawa, Hiroshi (Editor), Liu, Cheng-Lin (Editor), Pajdla, Tomas (Editor), Shi, Jianbo (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12627
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Applications of Computer Vision, Vision for X
  • Query by Strings and Return Ranking Word Regions with Only One Look
  • Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement
  • FootNet: An efficient convolutional network for multiview 3D foot reconstruction
  • Synthetic-to-real domain adaptation for lane detection
  • RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations
  • DoFNet: Depth of Field Difference Learning for Detecting Image Forgery
  • Explaining image classifiers by removing input features using generative models
  • Do We Need Sound for Sound Source Localization?
  • Modular Graph Attention Network for Complex Visual Relational Reasoning
  • CloTH-VTON: Clothing Three-dimensional reconstruction for Hybrid image-based Virtual Try-ON
  • Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion
  • Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
  • Sketch-to-Art: Synthesizing Stylized Art Images From Sketches
  • Road Obstacle Detection Method Based on an Autoencoder with Semantic Segmentation
  • SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
  • Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion
  • Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization
  • Watch, read and lookup: learning to spot signs from multiple supervisors
  • Domain-transferred Face Augmentation Network
  • Pose Correction Algorithm for Relative Frames between Keyframes in SLAM
  • Dense-Scale Feature Learning in Person Re-Identification
  • Class-incremental Learning with Rectified Feature-Graph Preservation
  • Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
  • Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features
  • Visually Guided Sound Source Separation using Cascaded Opponent Filter Network
  • Channel Recurrent Attention Networks for Video Pedestrian Retrieval
  • In Defense of LSTMs for Addressing Multiple Instance Learning Problems
  • Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score
  • Show, Conceive and Tell: Image Captioning with Prospective Linguistic Information
  • Datasets and Performance Analysis
  • RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network
  • Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning
  • Compensating for the Lack of Extra Training Data by Learning Extra Representation
  • Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
  • OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
  • Pre-training without Natural Images
  • TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines
  • A Day on Campus - An Anomaly Detection Dataset for Events in a Single Camera
  • A Benchmark and Baseline for Language-Driven Image Editing
  • Self-supervised Learning of Orc-Bert Augmentator for Recognizing Few-Shot Oracle Characters
  • Understanding Motion in Sign Language: A New Structured Translation Dataset
  • FreezeNet: Full Performance by Reduced Storage Costs.