Elf

[1]  Reducto , 2020, Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication.

[2]  Aakanksha Chowdhery,et al.  Server-Driven Video Streaming for Deep Learning Inference , 2020, SIGCOMM.

[3]  Neurosurgeon , 2020, Definitions.

[4]  Arvind Narayanan,et al.  A First Look at Commercial 5G Performance on Smartphones , 2019, WWW.

[5]  Ross B. Girshick,et al.  Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Ross B. Girshick,et al.  Mask R-CNN , 2017, 1703.06870.

[7]  Amin Vahdat,et al.  Democratizing the Network Edge , 2019, CCRV.

[8]  Wei Liu,et al.  MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Quoc V. Le,et al.  NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[10]  Hao Chen,et al.  FCOS: Fully Convolutional One-Stage Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[11]  Nanning Zheng,et al.  SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[12]  Marios Savvides,et al.  Feature Selective Anchor-Free Module for Single-Shot Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[13]  Andreas Geiger,et al.  MOTS: Multi-Object Tracking and Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Qiang Wang,et al.  Fast Online Object Tracking and Segmentation: A Unifying Approach , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Larry S. Davis,et al.  AutoFocus: Efficient Multi-Scale Inference , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[16]  Deliang Fan,et al.  Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[17]  Chong Xiang,et al.  Generating 3D Adversarial Point Clouds , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[18]  Zhenming Liu,et al.  DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.

[19]  Iasonas Kokkinos,et al.  DensePose: Dense Human Pose Estimation in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[20]  Nuno Vasconcelos,et al.  Cascade R-CNN: Delving Into High Quality Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[21]  Vijay Vasudevan,et al.  Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[22]  Roberto Cipolla,et al.  MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving , 2016, 2018 IEEE Intelligent Vehicles Symposium (IV).

[23]  Junmo Kim,et al.  A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[24]  Xiangyu Zhang,et al.  Channel Pruning for Accelerating Very Deep Neural Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[25]  Thomas Plötz,et al.  Ensembles of Deep LSTM Learners for Activity Recognition using Wearables , 2017, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

[26]  Li Zhang,et al.  Spatially Adaptive Computation Time for Residual Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[27]  Cewu Lu,et al.  RMPE: Regional Multi-person Pose Estimation , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

[28]  Sergio Guadarrama,et al.  Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[29]  Li Zhao,et al.  Attention-based LSTM for Aspect-level Sentiment Classification , 2016, EMNLP.

[30]  Wei Shen,et al.  Spatial-temporal convolutional neural networks for anomaly detection and localization in crowded scenes , 2016, Signal Process. Image Commun..

[31]  Jian Cheng,et al.  Quantized Convolutional Neural Networks for Mobile Devices , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[32]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[33]  Srikanth Kandula,et al.  Multi-resource packing for cluster schedulers , 2015, SIGCOMM.