|
+
|
Very Deep Convolutional Networks for Large-Scale Image Recognition
|
2014
|
Karen Simonyan
Andrew Zisserman
|
6
|
|
+
PDF
Chat
|
ImageNet Large Scale Visual Recognition Challenge
|
2015
|
Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
|
6
|
|
+
|
SSD: Single Shot MultiBox Detector
|
2016
|
Wei Liu
Dragomir Anguelov
Dumitru Erhan
Christian Szegedy
Scott Reed
Cheng-Yang Fu
Alexander C. Berg
|
5
|
|
+
PDF
Chat
|
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
|
2014
|
Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
|
4
|
|
+
PDF
Chat
|
Deep Residual Learning for Image Recognition
|
2016
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
3
|
|
+
PDF
Chat
|
Deep visual-semantic alignments for generating image descriptions
|
2015
|
Andrej Karpathy
Li Fei-Fei
|
2
|
|
+
PDF
Chat
|
Natural Language Object Retrieval
|
2016
|
Ronghang Hu
Huazhe Xu
Marcus Rohrbach
Jiashi Feng
Kate Saenko
Trevor Darrell
|
2
|
|
+
PDF
Chat
|
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
|
2016
|
Justin Johnson
Andrej Karpathy
Li Fei-Fei
|
2
|
|
+
PDF
Chat
|
3D ShapeNets: A deep representation for volumetric shapes
|
2015
|
Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
|
2
|
|
+
|
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
|
2015
|
Hao Su
Charles R. Qi
Yangyan Li
Leonidas Guibas
|
2
|
|
+
|
VISALOGY: Answering Visual Analogy Questions
|
2015
|
Fereshteh Sadeghi
C. Lawrence Zitnick
Ali Farhadi
|
2
|
|
+
PDF
Chat
|
From captions to visual concepts and back
|
2015
|
Hao Fang
Saurabh Gupta
Forrest Iandola
Rupesh K. Srivastava
Li Deng
Piotr Dollár
Jianfeng Gao
Xiaodong He
Margaret Mitchell
John Platt
|
2
|
|
+
|
You Only Look Once: Unified, Real-Time Object Detection
|
2015
|
Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
|
2
|
|
+
|
Recurrent Models of Visual Attention
|
2014
|
Volodymyr Mnih
Nicolas Heess
Alex Graves
Koray Kavukcuoglu
|
2
|
|
+
PDF
Chat
|
Long-term recurrent convolutional networks for visual recognition and description
|
2015
|
Jeff Donahue
Lisa Anne Hendricks
Sergio Guadarrama
Marcus Rohrbach
Subhashini Venugopalan
Trevor Darrell
Kate Saenko
|
2
|
|
+
PDF
Chat
|
Viewpoints and keypoints
|
2015
|
Shubham Tulsiani
Jitendra Malik
|
2
|
|
+
|
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
|
2015
|
Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
|
2
|
|
+
|
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
|
2014
|
Ryan Kiros
Ruslan Salakhutdinov
Richard S. Zemel
|
2
|
|
+
PDF
Chat
|
Modelling Observation Correlations for Active Exploration and Robust Object Detection
|
2012
|
Javier Vélez
Garrett Hemann
A. S. Huang
Ingmar Posner
Nicholas Roy
|
2
|
|
+
|
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
|
2014
|
Junhua Mao
Wei Xu
Yi Yang
Jiang Wang
Zhiheng Huang
Alan Yuille
|
2
|
|
+
PDF
Chat
|
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
|
2015
|
Hao Su
Charles R. Qi
Yangyan Li
Leonidas Guibas
|
2
|
|
+
|
Robot In a Room: Toward Perfect Object Recognition in Closed Environments
|
2015
|
Shuran Song
Linguang Zhang
Jianxiong Xiao
|
2
|
|
+
PDF
Chat
|
Show and tell: A neural image caption generator
|
2015
|
Oriol Vinyals
Alexander Toshev
Samy Bengio
Dumitru Erhan
|
2
|
|
+
PDF
Chat
|
Generation and Comprehension of Unambiguous Object Descriptions
|
2016
|
Junhua Mao
Jonathan Huang
Alexander Toshev
Oana Camburu
Alan Yuille
Kevin Murphy
|
2
|
|
+
PDF
Chat
|
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd
|
2016
|
Andreas Doumanoglou
Rigas Kouskouridas
Sotiris Malassiotis
Tae‐Kyun Kim
|
2
|
|
+
PDF
Chat
|
Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion
|
2016
|
Dinesh Jayaraman
Kristen Grauman
|
2
|
|
+
|
End-to-end Optimized Image Compression
|
2016
|
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
|
1
|
|
+
PDF
Chat
|
Pairwise Decomposition of Image Sequences for Active Multi-view Recognition
|
2016
|
Edward Johns
Stefan Leutenegger
Andrew J. Davison
|
1
|
|
+
PDF
Chat
|
Multiview RGB-D Dataset for Object Instance Detection
|
2016
|
Georgios Georgakis
Md Alimoor Reza
Arsalan Mousavian
Phi-Hung Le
Jana Košecká
|
1
|
|
+
PDF
Chat
|
You Only Look Once: Unified, Real-Time Object Detection
|
2016
|
Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
|
1
|
|
+
|
Variational Autoencoders for Collaborative Filtering
|
2018
|
Dawen Liang
Rahul G. Krishnan
Matthew D. Hoffman
Tony Jebara
|
1
|
|
+
PDF
Chat
|
Fast Single Shot Detection and Pose Estimation
|
2016
|
Patrick Poirson
Phil Ammirato
Cheng-Yang Fu
Wei Liu
Jana Košecká
Alexander C. Berg
|
1
|
|
+
PDF
Chat
|
RGBD Datasets: Past, Present and Future
|
2016
|
Michael Firman
|
1
|
|
+
|
Semi-Supervised Classification with Graph Convolutional Networks
|
2016
|
Thomas Kipf
Max Welling
|
1
|
|
+
|
Variational image compression with a scale hyperprior
|
2018
|
Johannes Ballé
David Minnen
Saurabh Singh
Sung Jin Hwang
Nick Johnston
|
1
|
|
+
|
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
|
2020
|
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
|
1
|
|
+
|
Training with Quantization Noise for Extreme Model Compression
|
2020
|
Angela Fan
Pierre Stock
Benjamin Graham
Édouard Grave
Rémi Gribonval
Hervé Jeǵou
Armand Joulin
|
1
|
|
+
|
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
|
2020
|
Matthew Tancik
Pratul P. Srinivasan
Ben Mildenhall
Sara Fridovich-Keil
Nithin Raghavan
Utkarsh Singhal
Ravi Ramamoorthi
Jonathan T. Barron
Ren Ng
|
1
|
|
+
|
Neural Collaborative Filtering vs. Matrix Factorization Revisited
|
2020
|
Steffen Rendle
Walid Krichene
Li Zhang
John R. Anderson
|
1
|
|
+
|
Revisiting Graph Neural Networks for Link Prediction
|
2021
|
Muhan Zhang
Li Pan
Yinglong Xia
Kai Wang
Long Jin
|
1
|
|
+
|
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
|
2020
|
Qian Huang
Horace He
Abhay Pratap Singh
Ser-Nam Lim
Austin R. Benson
|
1
|
|
+
PDF
Chat
|
Grounding of Textual Phrases in Images by Reconstruction
|
2016
|
Anna Rohrbach
Marcus Rohrbach
Ronghang Hu
Trevor Darrell
Bernt Schiele
|
1
|
|
+
PDF
Chat
|
Neural Graph Collaborative Filtering
|
2019
|
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat‐Seng Chua
|
1
|
|
+
PDF
Chat
|
Disentangled Graph Collaborative Filtering
|
2020
|
Xiang Wang
Hongye Jin
An Zhang
Xiangnan He
Tong Xu
Tat‐Seng Chua
|
1
|
|
+
PDF
Chat
|
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
|
2018
|
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
Jure Leskovec
|
1
|
|
+
PDF
Chat
|
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
|
2020
|
Ben Mildenhall
Pratul P. Srinivasan
Matthew Tancik
Jonathan T. Barron
Ravi Ramamoorthi
Ren Ng
|
1
|
|
+
PDF
Chat
|
Learning Continuous Image Representation with Local Implicit Image Function
|
2021
|
Yinbo Chen
Sifei Liu
Xiaolong Wang
|
1
|
|
+
PDF
Chat
|
The Lottery Ticket Hypothesis for Object Recognition
|
2021
|
Sharath Girish
Shishira R Maiya
Kamal Gupta
Hao Chen
Larry S. Davis
Abhinav Shrivastava
|
1
|
|
+
PDF
Chat
|
Learned Initializations for Optimizing Coordinate-Based Neural Representations
|
2021
|
Matthew Tancik
Ben Mildenhall
Terrance Wang
D. N. Schmidt
Pratul P. Srinivasan
Jonathan T. Barron
Ren Ng
|
1
|
|
+
|
Graph Trend Networks for Recommendations.
|
2021
|
Wenqi Fan
Xiaorui Liu
Wei Jin
Xiangyu Zhao
Jiliang Tang
Qing Li
|
1
|