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Artificial Neural Networks and Machine Learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part III /

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024. The 294 full papers and 16 short papers included in these proceedin...

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Bibliografske podrobnosti
Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Wand, Michael (Editor), Malinovská, Kristína (Editor), Schmidhuber, Jürgen (Editor), Tetko, Igor V. (Editor)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Izdaja:1st ed. 2024.
Serija:Lecture Notes in Computer Science, 15018
Teme:
Artificial intelligence.
Computers.
Application software.
Computer networks .
Artificial Intelligence.
Computing Milieux.
Computer and Information Systems Applications.
Computer Communication Networks.
Online dostop:https://doi.org/10.1007/978-3-031-72338-4
Oznake: Označite
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Kazalo:
  • -- Computer Vision: Anomaly Detection.
  • Hybrid Encoder for Anomaly Detection Based on Latent Feature Regularization.
  • Computer Vision: Segmentation.
  • DGFormer: A Dynamic Kernel with Gaussian Fusion Transformer for Semantic Image Segmentation.
  • Integrating Audio-Visual Contexts with Refinement for Segmentation.
  • Loci-Segmented: Improving Scene Segmentation Learning.
  • Large Language Model for Action Anticipation.
  • MFPNet: A Multi-scale Feature Propagation Network for Lightweight Semantic Segmentation.
  • Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-view Framework.
  • Computer Vision: Pose Estimation and Tracking.
  • DT2S-Pose: A Deeper Temporal-Spatial Skeleton Refine Model for Pedestrian Pose Estimation.
  • DTG: Learning A Dynamic Token Graph for 3D Pose Forecasting.
  • Dual-Branch Network with Online Knowledge Distillation for 3D Hand Pose Estimation.
  • MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices.
  • Siamese visual tracking with correlation and awareness.
  • Computer Vision: Video Processing.
  • Alignment-Enhanced Network for Temporal Language Grounding in Videos.
  • Boundary-aware Noise-resistant Video Moment Retrieval.
  • Large Language Model for Action Anticipation.
  • Learning Object Permanence from Videos via Latent Imaginations.
  • SSFlowNet: Semi-supervised Scene Flow Estimation On Point Clouds With Pseudo Label.
  • Video Understanding Using 2D-CNNs on Salient Spatio-temporal Slices.
  • Computer Vision: Generative Methods.
  • A robust cycle generative adversarial network with an improved atmospheric scatter model for image dehazing.
  • CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Ground Image Synthesis.
  • Dual Dreamer: Extending Single-view Dreamer with Few shot of Complementary Views.
  • Hair Transfer with Efficient Heuristic Chain of Editing.
  • MAGIC: Multi-prompt Any length video Generation model with controllable Inter-frame Correlation and low barrier.
  • Make Audio Solely Drive Lip in Talking Face Video Synthesis.
  • P2H-GAN: An Effective Method For Generating Handwritten Expressions.
  • SCI-Font: Enhancing Content-Style Representation for Chinese Calligraphy Generation with Skeleton, Contour and Inexact Paired Data.
  • Topics in Computer Vision.
  • Driver Safety System: A Real-time Sleep Detection and Lane Detection Model using IoT and Deep Learning.
  • Gaze target detection with Visual Prompt Tuning based on attention.
  • Let Multi-Classification Help Deep Imbalanced Regression.
  • ProGEO: Generating Prompts through Image-Text Contrastive Learning for Visual Geo-localization.

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