Papers
Forgery Detection by Internal Positional Learning of Demosaicing Traces
Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel
From Node To Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot Detection
Hui Nie, Ruiping Wang, Xilin Chen
FT-DeepNets: Fault-Tolerant Convolutional Neural Networks With Kernel-Based Duplication
Iljoo Baek, Wei Chen, Zhihao Zhu et al.
Fully Convolutional Cross-Scale-Flows for Image-Based Defect Detection
Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn et al.
Fusion Point Pruning for Optimized 2D Object Detection With Radar-Camera Fusion
Lukas Stäcker, Philipp Heidenreich, Jason Rambach et al.
GANs Spatial Control via Inference-Time Adaptive Normalization
Karin Jakoel, Liron Efraim, Tamar Rott Shaham
Generalized Clustering and Multi-Manifold Learning With Geometric Structure Preservation
Lirong Wu, Zicheng Liu, Jun Xia et al.
Generalized Facial Manipulation Detection With Edge Region Feature Extraction
Dong-Keon Kim, Kwang-Su Kim
Generating and Controlling Diversity in Image Search
Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh et al.
Generative Adversarial Attack on Ensemble Clustering
Chetan Kumar, Deepak Kumar, Ming Shao
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
Bruno Degardin, João Neves, Vasco Lopes et al.
Geometrically Adaptive Dictionary Attack on Face Recognition
Junyoung Byun, Hyojun Go, Changick Kim
Geometry-Aware Hierarchical Bayesian Learning on Manifolds
Yonghui Fan, Yalin Wang
Geometry-Inspired Top-K Adversarial Perturbations
Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets
Global Assists Local: Effective Aerial Representations for Field of View Constrained Image Geo-Localization
Royston Rodrigues, Masahiro Tani
GraDual: Graph-Based Dual-Modal Representation for Image-Text Matching
Siqu Long, Soyeon Caren Han, Xiaojun Wan et al.
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson et al.
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation
Hankui Peng, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb
Hessian-Aware Pruning and Optimal Neural Implant
Shixing Yu, Zhewei Yao, Amir Gholami et al.
HHP-Net: A Light Heteroscedastic Neural Network for Head Pose Estimation With Uncertainty
Giorgio Cantarini, Federico Figari Tomenotti, Nicoletta Noceti et al.
Hierarchically Decoupled Spatial-Temporal Contrast for Self-Supervised Video Representation Learning
Zehua Zhang, David Crandall
Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos
Reza Ghoddoosian, Saif Sayed, Vassilis Athitsos
Hierarchical Proxy-Based Loss for Deep Metric Learning
Zhibo Yang, Muhammet Bastan, Xinliang Zhu et al.
HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning
Ashima Garg, Shaurya Bagga, Yashvardhan Singh et al.