Efficient Computing

Deep Single Image Camera Calibration With Radial Distortion CVPR 2019 Deep Spherical Quantization for Image Search CVPR 2019 Deep Supervised Hashing With Anchor Graph ICCV 2019 Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks CVPR 2019 DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging NeurIPS 2019 Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NeurIPS 2019 Defensive Quantization: When Efficiency Meets Robustness ICLR 2019 Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents IJCAI 2019 Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services NAACL 2019 DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation CVPR 2019 DiffChaser: Detecting Disagreements for Deep Neural Networks IJCAI 2019 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019 Dimension-Free Bounds for Low-Precision Training NeurIPS 2019 Direct Drive Hands: Force-Motion Transparency in Gripper Design RSS 2019 Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets AISTATS 2019 Double Quantization for Communication-Efficient Distributed Optimization NeurIPS 2019 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network ICLR 2019 Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution ICCV 2019 DSConv: Efficient Convolution Operator ICCV 2019 dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces NSDI 2019 DSRN: A Deep Scale Relationship Network for Scene Text Detection IJCAI 2019 DuDoNet: Dual Domain Network for CT Metal Artifact Reduction CVPR 2019 DVC: An End-To-End Deep Video Compression Framework CVPR 2019 Dynamic Channel Pruning: Feature Boosting and Suppression ICLR 2019 Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks ICCV 2019