Papers
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation
Jinwoo Bae, Sungho Moon, Sunghoon Im
Deep Equilibrium Models for Snapshot Compressive Imaging
Yaping Zhao, Siming Zheng, Xin Yuan
Deepfake Video Detection via Facial Action Dependencies Estimation
Lingfeng Tan, Yunhong Wang, Junfu Wang et al.
DeepGemini: Verifying Dependency Fairness for Deep Neural Network
Xuan Xie, Fuyuan Zhang, Xinwen Hu et al.
Deep Graph Structural Infomax
Wenting Zhao, Gongping Xu, Zhen Cui et al.
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations
Shiqi Gong, Peiyan Hu, Qi Meng et al.
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido et al.
Deep Manifold Attack on Point Clouds via Parameter Plane Stretching
Keke Tang, Jianpeng Wu, Weilong Peng et al.
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
Xiaogang Xu, Ruixing Wang, Chi-Wing Fu et al.
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse
Liwei Huang, Zhengyu Ma, Liutao Yu et al.
Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video
Minsu Kim, Chae Won Kim, Yong Man Ro
Defending against Backdoor Attacks in Natural Language Generation
Xiaofei Sun, Xiaoya Li, Yuxian Meng et al.
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Khoa D. Doan, Yingjie Lao, Peng Yang et al.
Defending Black-Box Skeleton-Based Human Activity Classifiers
He Wang, Yunfeng Diao, Zichang Tan et al.
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis
Giulio Rossolini, Federico Nesti, Fabio Brau et al.
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness
Gang Yan, Hao Wang, Xu Yuan et al.
Delving Deep into Pixel Alignment Feature for Accurate Multi-View Human Mesh Recovery
Kai Jia, Hongwen Zhang, Liang An et al.
Delving into the Adversarial Robustness of Federated Learning
Jie Zhang, Bo Li, Chen Chen et al.
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case
Kaushik Roy, Vedant Khandelwal, Raxit Goswami et al.
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction
Yangyang Xu, Yibo Yang, Lefei Zhang
Demystifying Randomly Initialized Networks for Evaluating Generative Models
Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee
Demystify the Gravity Well in the Optimization Landscape (Student Abstract)
Jason Xiaotian Dou, Runxue Bao, Susan Song et al.
DENet: Disentangled Embedding Network for Visible Watermark Removal
Ruizhou Sun, Yukun Su, Qingyao Wu
DE-net: Dynamic Text-Guided Image Editing Adversarial Networks
Ming Tao, Bing-Kun Bao, Hao Tang et al.