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You Only Look Once: Unified, Real-Time Object Detection
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Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
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Image-Based Recommendations on Styles and Substitutes
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2015
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Julian McAuley
Christopher Targett
Qinfeng Shi
Anton van den Hengel
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SSD: Single Shot MultiBox Detector
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Dragomir Anguelov
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Christian Szegedy
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Session-Based Recommendation with Graph Neural Networks
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2019
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Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
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TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
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2020
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Feng Yu
Yanqiao Zhu
Qiang Liu
Shu Wu
Liang Wang
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YOLO9000: Better, Faster, Stronger
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2017
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Joseph Redmon
Ali Farhadi
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BPR: Bayesian Personalized Ranking from Implicit Feedback
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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Learning Compatibility Across Categories for Heterogeneous Item Recommendation
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2016
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Ruining He
Charles Packer
Julian McAuley
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Long-tail Session-based Recommendation
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2020
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Siyi Liu
Yujia Zheng
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Neural Attentive Session-based Recommendation
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2017
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Jing Li
Pengjie Ren
Zhumin Chen
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Jun Ma
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Feature Pyramid Transformer
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2020
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Dong Zhang
Hanwang Zhang
Jinhui Tang
Meng Wang
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Using temporal data for making recommendations
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David Maxwell Chickering
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Improved Recurrent Neural Networks for Session-based Recommendations
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2016
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Yong Tan
Xinxing Xu
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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2016
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Shaoqing Ren
Kaiming He
Ross Girshick
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Cascade R-CNN: Delving Into High Quality Object Detection
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2018
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Zhaowei Cai
Nuno Vasconcelos
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Path Aggregation Network for Instance Segmentation
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2018
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Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
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CvT: Introducing Convolutions to Vision Transformers
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2021
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Haiping Wu
Bin Xiao
Noel Codella
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Xiyang Dai
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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2021
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Ze Liu
Yutong Lin
Yue Cao
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Stephen Lin
Baining Guo
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MMDetection: Open MMLab Detection Toolbox and Benchmark
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2019
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Kai Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
Xiaoxiao Li
Shuyang Sun
Wansen Feng
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Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation
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2020
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Mengqi Zhang
Shu Wu
Meng Gao
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Ke Xu
Liang Wang
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Spectral Networks and Locally Connected Networks on Graphs
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2013
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Joan Bruna
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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
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2021
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Wenhai Wang
Enze Xie
Xiang Li
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Session-based Recommendations with Recurrent Neural Networks
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2015
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Balázs Hidasi
Alexandros Karatzoglou
Linas Baltrunas
Domonkos Tikk
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Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
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2020
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Hongkai Zhang
Hong Chang
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Feature Pyramid Grids
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2020
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Kai Chen
Yuhang Cao
Chen Change Loy
Dahua Lin
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Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences
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2015
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Balázs Kovács
Sean Bell
Julian McAuley
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Serge Belongie
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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2014
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Ross Girshick
Jeff Donahue
Trevor Darrell
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Gated Graph Sequence Neural Networks
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Yujia Li
Daniel Tarlow
Marc Brockschmidt
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Semi-Supervised Classification with Graph Convolutional Networks
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Max Welling
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Session-based Recommendations with Recurrent Neural Networks
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Balázs Hidasi
Alexandros Karatzoglou
Linas Baltrunas
Domonkos Tikk
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Graph Learning Approaches to Recommender Systems: A Review
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2020
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Shoujin Wang
Liang Hu
Yan Wang
Xiangnan He
Quan Z. Sheng
Mehmet A. Orgun
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Nan Wang
Francesco Ricci⋆
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Graph Attention Networks
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Guillem Cucurull
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Semi-Supervised Classification with Graph Convolutional Networks
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Max Welling
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Deep Graph Contrastive Representation Learning
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Yichen Xu
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Qiang Liu
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Libra R-CNN: Towards Balanced Learning for Object Detection
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2019
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Jiangmiao Pang
Kai Chen
Jianping Shi
Huajun Feng
Wanli Ouyang
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Andrew Zisserman
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MMDetection: Open MMLab Detection Toolbox and Benchmark.
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2019
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Kai Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
Xiaoxiao Li
Shuyang Sun
Wansen Feng
Ziwei Liu
Jiarui Xu
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Gated Graph Sequence Neural Networks
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Yujia Li
Daniel Tarlow
Marc Brockschmidt
Richard S. Zemel
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Simplifying Graph Convolutional Networks
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Tianyi Zhang
Amauri H. Souza
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On the universal structure of human lexical semantics
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2016
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Hyejin Youn
Logan Sutton
Eric Smith
Cristopher Moore
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Deep High-Resolution Representation Learning for Human Pose Estimation
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2019
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Ke Sun
Bin Xiao
Dong Liu
Jingdong Wang
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation
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2018
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Qiang Cui
Shu Wu
Qiang Liu
Wen Zhong
Liang Wang
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Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Xavier Bresson
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GraphAIR: Graph representation learning with neighborhood aggregation and interaction
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2020
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Fenyu Hu
Yanqiao Zhu
Shu Wu
Weiran Huang
Liang Wang
Tieniu Tan
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A Survey on Session-based Recommender Systems
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2019
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Shoujin Wang
Longbing Cao
Yan Wang
Quan Z. Sheng
Mehmet A. Orgun
Defu Lian
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RepPoints: Point Set Representation for Object Detection
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2019
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Ze Yang
Shaohui Liu
Han Hu
Liwei Wang
Stephen Lin
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Attention is All you Need
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2017
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Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
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Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
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2020
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Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
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