Papers
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI
Abhay M S Aradhya, Aditya Joglekar, Sundaram Suresh et al.
Deep Tree Learning for Zero-Shot Face Anti-Spoofing
Yaojie Liu, Joel Stehouwer, Amin Jourabloo et al.
Deep Unknown Intent Detection with Margin Loss
Ting-En Lin, Hua Xu
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision
Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi et al.
Deep Value Model Predictive Control
David Hoeller, Farbod Farshidian, Marco Hutter
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer
DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration
Weixin Lu, Guowei Wan, Yao Zhou et al.
Deep Video Frame Interpolation Using Cyclic Frame Generation
Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin et al.
Deep Video Inpainting
Dahun Kim, Sanghyun Woo, Joon-Young Lee et al.
DeepView: View Synthesis With Learned Gradient Descent
John Flynn, Michael Broxton, Paul Debevec et al.
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Eunwoo Kim, Chanho Ahn, Philip H.S. Torr et al.
DeepVoxels: Learning Persistent 3D Feature Embeddings
Vincent Sitzmann, Justus Thies, Felix Heide et al.
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging
Matthieu SIMEONI, Sepand Kashani, Paul Hurley et al.
Defending Against Adversarial Attacks by Randomized Diversification
Olga Taran, Shideh Rezaeifar, Taras Holotyak et al.
Defending Against Neural Fake News
Rowan Zellers, Ari Holtzman, Hannah Rashkin et al.
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
Dong Yin, Yudong Chen, Ramchandran Kannan et al.
Defending Against Universal Perturbations With Shared Adversarial Training
Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen
Defending against Whitebox Adversarial Attacks via Randomized Discretization
Yuchen Zhang, Percy Liang
Defending Elections against Malicious Spread of Misinformation
Bryan Wilder, Yevgeniy Vorobeychik
Defending Neural Backdoors via Generative Distribution Modeling
Ximing Qiao, Yukun Yang, Hai Li
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang, Jianyu Wang
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz et al.
Defensive Quantization: When Efficiency Meets Robustness
Ji Lin, Chuang Gan, Song Han
Deformable ConvNets V2: More Deformable, Better Results
Xizhou Zhu, Han Hu, Stephen Lin et al.
Deformable Surface Tracking by Graph Matching
Tao Wang, Haibin Ling, Congyan Lang et al.