09

2021 September

Full List of papers - updated weekly

• Activation Maximization Generative Adversarial Nets (민국)
• Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples (민국)
• Lipschitz Generative Adversarial Nets (민국)
• Closed-Form Factorization of Latent Semantics in GANs (민국)
• Your GAN is secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling (민국)
• Transpose: Keypoint Localization via Transformer (승욱)
• RoFormer: Enhanced Transformer with Rotary Position Embedding (승욱)
• Recurrent Parameter Generators (승욱)
• Harmonic Networks: Deep Translation and Rotation Equivariance (우현)
• Deep Learning on Lie Groups for Skeleton-based Action Recognition (우현)
• Infinite Memory Transformers (승욱)
• Sparse-MLP: A Fully-MLP Architecture with Conditional Computation (승욱)
• An Image is worth 16x16 words : Transformers for Image Recognition at Scale(수현)
• End to End object detection with Transformers (수현)
• Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces (승욱)
• Swapping Autoencoder for Deep Image Manipulation (진오)
• InfoGraph: Unsupervised and semi-supervised graph-level representation learning via mutual infromation maximization (지예)
• On the bottleneck of graph neural networks and its practical implications (지예)
• Constrained Generation of Semantically Valid graph via regularizing variational autoencoders (지예)
• How to find your friendly neighborhood: Graph attention design with self-supervision (지예)
• ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer (지예)
• Using rule-based labels for weak supervised learning: A chemnet for transferable chemical property prediction (지예)
• Molecule attention transformer (지예)
• Speaker sensitive response evaluation model (지예)
• Junction Tree variational autoencoder for molecular graph generation (지예)
• On the evaluation of conditional generation (FJD) (지예)
• ConvMLP: Hierarchical Convolutional MLPs for Vision (승욱)
• Movement Pruning: Adaptive Sparsity by Fine-Tuning (승욱)
• MyTraces: Investigating Correlation and Causation between User's Emotional States and Mobile Phone Interaction (승욱)
• SonicPrint: A Generally adoptable and secure fingerprint biometrics in Smart Devices (승욱)
• torch.manual seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision(승욱)
• Dynamic Convolution: Attention over Convolution Kernels (Yoonwoo)
• Involution: Inverting the Inherence of Convolutiojns for Visual Recognition (Yoonwoo)
• PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds (Yoonwoo)
• PVT: Point Voxel Transformer for 3D Deep Learning (Yoonwoo)
• Voxel Transformer for 3D Object Detection (Yoonwoo)