Papers
Defending against Model Stealing via Verifying Embedded External Features
Yiming Li, Linghui Zhu, Xiaojun Jia et al.
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision
Jun Zhuang, Mohammad Al Hasan
Deformable Graph Convolutional Networks
Jinyoung Park, Sungdong Yoo, Jihwan Park et al.
Deformable Part Region Learning for Object Detection
Seung-Hwan Bae
DeformRS: Certifying Input Deformations with Randomized Smoothing
Motasem Alfarra, Adel Bibi, Naeemullah Khan et al.
Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement
Kui Jiang, Zhongyuan Wang, Zheng Wang et al.
Delivering Trustworthy AI through Formal XAI
Joao Marques-Silva, Alexey Ignatiev
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification
Jian Han, Ya-Li Li, Shengjin Wang
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Shenwang Jiang, Jianan Li, Ying Wang et al.
Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection
Zhihao Gu, Yang Chen, Taiping Yao et al.
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
Jiayi Wang, Shiqiang Wang, Rong-Rong Chen et al.
Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation
Tong Chu, Yahao Liu, Jinhong Deng et al.
Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data
Paolo Fraccaro, Nikola Stoyanov, Zaheed Gaffoor et al.
Designing a Human-in-the-Loop System for Object Detection in Floor Plans
Johannes Jakubik, Patrick Hemmer, Michael Vössing et al.
Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function
Yunze Xiao, Hao Zhu, Haotian Yang et al.
Detail-Preserving Transformer for Light Field Image Super-resolution
Shunzhou Wang, Tianfei Zhou, Yao Lu et al.
DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration
Zhi Chen, Fan Yang, Wenbing Tao
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
Hangjie Yuan, Mang Wang, Dong Ni et al.
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
Xin Qiu, Risto Miikkulainen
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
Mingfei Sun, Sam Devlin, Katja Hofmann et al.
DetIE: Multilingual Open Information Extraction Inspired by Object Detection
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh et al.
DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset
Jin-Hwi Park, Young-Jae Park, Junoh Lee et al.
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Junying Chen, Dongfang Li, Qingcai Chen et al.