Menglong Zhu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Unsupervised 4D Cardiac Motion Tracking with Spatiotemporal Optical Flow Networks	2024	Teng Long Wei Feng Menglong Zhu Xinchao Li
+	Binary Neural Networks as a general-propose compute paradigm for on-device computer vision	2022	Guhong Nie Lirui Xiao Menglong Zhu Dongliang Chu Yue Shen Peng Li Kang Yang Li Du Bo Chen
+	SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection	2021	Keren Ye Adriana Kovashka Mark Sandler Menglong Zhu Andrew Howard Marco Fornoni
+ PDF Chat	SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection	2021	Keren Ye Adriana Kovashka Mark Sandler Menglong Zhu Andrew Howard Marco Fornoni
+ PDF Chat	Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks	2020	Deng-Ping Fan Lin Zheng Zhao Zhang Menglong Zhu Ming‐Ming Cheng
+ PDF Chat	SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection	2020	Keren Ye Adriana Kovashka Mark Sandler Menglong Zhu Andrew Howard Marco Fornoni
+ PDF Chat	Detect-To-Retrieve: Efficient Regional Aggregation for Image Search	2019	Marvin Teichmann André Araujo Menglong Zhu Jack Sim
+	Looking Fast and Slow: Memory-Guided Mobile Video Object Detection.	2019	Mason Liu Menglong Zhu Marie White Yinxiao Li Dmitry Kalenichenko
+	Looking Fast and Slow: Memory-Guided Mobile Video Object Detection	2019	Mason Liu Menglong Zhu Marie White Yinxiao Li Dmitry Kalenichenko
+ PDF Chat	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2018	Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew Howard Hartwig Adam Dmitry Kalenichenko
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen
+ PDF Chat	Mobile Video Object Detection with Temporally-Aware Feature Maps	2018	Menglong Zhu Mason Liu
+ PDF Chat	MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior	2018	Xiaowei Zhou Menglong Zhu Georgios Pavlakos Spyridon Leonardos Konstantinos G. Derpanis Kostas Daniilidis
+	Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation	2018	Andrew Howard Andrey Zhmoginov Liang-Chieh Chen Mark Sandler Menglong Zhu
+	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen
+	Detect-to-Retrieve: Efficient Regional Aggregation for Image Search	2018	Marvin Teichmann André Araujo Menglong Zhu Jack Sim
+	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2017	Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew Howard Hartwig Adam Dmitry Kalenichenko
+ PDF Chat	Automatic Spatially-Aware Fashion Concept Discovery	2017	Xintong Han Zuxuan Wu Phoenix X. Huang Xiao Zhang Menglong Zhu Yuan Li Yang Zhao Larry S. Davis
+ PDF Chat	Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors	2017	Jonathan Huang Vivek Rathod Chen Sun Menglong Zhu Anoop Korattikara Alireza Fathi Ian Fischer Zbigniew Wojna Yang Song Sergio Guadarrama
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam
+	Automatic Spatially-aware Fashion Concept Discovery	2017	Xintong Han Zuxuan Wu Phoenix X. Huang Xiao Zhang Menglong Zhu Yuan Li Yang Zhao Larry S. Davis
+	Mobile Video Object Detection with Temporally-Aware Feature Maps	2017	Mason Liu Menglong Zhu
+	MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior	2017	Xiaowei Zhou Menglong Zhu Georgios Pavlakos Spyridon Leonardos Kostantinos G. Derpanis Kostas Daniilidis
+	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2017	Benoît Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew W. Howard Hartwig Adam Dmitry Kalenichenko
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam
+ PDF Chat	Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach	2016	Xiaowei Zhou Menglong Zhu Spyridon Leonardos Kostas Daniilidis
+ PDF Chat	Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video	2016	Xiaowei Zhou Menglong Zhu Spyridon Leonardos Konstantinos G. Derpanis Kostas Daniilidis
+	Speed/accuracy trade-offs for modern convolutional object detectors	2016	Jonathan Huang Vivek Rathod Chen Sun Menglong Zhu Anoop Korattikara Alireza Fathi Ian Fischer Zbigniew Wojna Yang Song Sergio Guadarrama
+ PDF Chat	Multi-image Matching via Fast Alternating Minimization	2015	Xiaowei Zhou Menglong Zhu Kostas Daniilidis
+	Pose and Shape Estimation with Discriminatively Learned Parts	2015	Menglong Zhu Xiaowei Zhou Kostas Daniilidis
+	Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video	2015	Xiaowei Zhou Menglong Zhu Spyridon Leonardos Kosta Derpanis Kostas Daniilidis
+	Multi-Image Matching via Fast Alternating Minimization	2015	Xiaowei Zhou Menglong Zhu Kostas Daniilidis
+	Active Deformable Part Models	2014	Menglong Zhu Nikolay Atanasov George J. Pappas Kostas Daniilidis

Common Coauthors

Coauthor	Papers Together
Kostas Daniilidis	9
Andrew Howard	9
Xiaowei Zhou	8
Dmitry Kalenichenko	7
Mark Sandler	6
Hartwig Adam	5
Spyridon Leonardos	5
Bo Chen	4
Liang-Chieh Chen	3
Skirmantas Kligys	3
Keren Ye	3
Adriana Kovashka	3
Matthew F. Tang	3
Andrey Zhmoginov	3
Marco Fornoni	3
Vivek Rathod	2
Sergio Guadarrama	2
Marco Andreetto	2
Zuxuan Wu	2
Jack Sim	2
Yinxiao Li	2
Yang Song	2
Zbigniew Wojna	2
Tobias Weyand	2
Ian Fischer	2
Georgios Pavlakos	2
Yang Zhao	2
Marvin Teichmann	2
Mason Liu	2
Mason Liu	2
Alireza Fathi	2
Anoop Korattikara	2
Kevin Murphy	2
Jonathan Huang	2
Phoenix X. Huang	2
Benoit Jacob	2
Weijun Wang	2
Chen Sun	2
André Araujo	2
Xintong Han	2
Larry S. Davis	2
Konstantinos G. Derpanis	2
Kostantinos G. Derpanis	1
Wei Feng	1
Yuan Li	1
Dongliang Chu	1
Teng Long	1
Bo Chen	1
Ming‐Ming Cheng	1
Peng Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	15
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	15
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	10
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	9
+ PDF Chat	Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors	2017	Jonathan Huang Vivek Rathod Chen Sun Menglong Zhu Anoop Korattikara Alireza Fathi Ian Fischer Zbigniew Wojna Yang Song Sergio Guadarrama	8
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	8
+ 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	8
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	7
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	7
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Li Yi Kaiming He Jian Sun	6
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	6
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	6
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	6
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	5
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	5
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	5
+	Manopt, a Matlab toolbox for optimization on manifolds	2013	Nicolas Boumal Bamdev Mishra Pierre-Antoine Absil Rodolphe Sepulchre	5
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	5
+ PDF Chat	3D shape estimation from 2D landmarks: A convex relaxation approach	2015	Xiaowei Zhou Spyridon Leonardos Xiaoyan Hu Kostas Daniilidis	4
+	Scalable, High-Quality Object Detection	2014	Christian Szegedy Scott Reed Dumitru Erhan Dragomir Anguelov	4
+ PDF Chat	DeepPose: Human Pose Estimation via Deep Neural Networks	2014	Alexander Toshev Christian Szegedy	4
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	4
+ PDF Chat	YOLO9000: Better, Faster, Stronger	2017	Joseph Redmon Ali Farhadi	4
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	4
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	4
+ PDF Chat	Robust Estimation of 3D Human Poses from a Single Image	2014	Chunyu Wang Yizhou Wang Zhouchen Lin Alan Yuille Wen Gao	4
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	4
+ PDF Chat	The Open Images Dataset V4	2020	Alina Kuznetsova Hassan Rom Neil Alldrin Jasper Uijlings Ivan Krasin Jordi Pont-Tuset Shahab Kamali Stefan Popov Matteo Malloci Alexander Kolesnikov	4
+ PDF Chat	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2018	Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew Howard Hartwig Adam Dmitry Kalenichenko	3
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	3
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2013	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	3
+ PDF Chat	Seeing Behind the Camera: Identifying the Authorship of a Photograph	2016	Christopher Thomas Adriana Kovashka	3
+ PDF Chat	Revisiting Knowledge Transfer for Training Object Class Detectors	2018	Jasper Uijlings Stefan Popov Vittorio Ferrari	3
+	Seq-NMS for Video Object Detection	2016	Wei Han Pooya Khorrami Tom Le Paine Prajit Ramachandran Mohammad Babaeizadeh Humphrey Shi Jianan Li Shuicheng Yan Thomas S. Huang	3
+ PDF Chat	Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution	2018	Lanlan Liu Jia Deng	3
+ PDF Chat	SpotTune: Transfer Learning Through Adaptive Fine-Tuning	2019	Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Rosing Rogério Feris	3
+	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	2014	Vadim Lebedev Yaroslav Ganin Maksim Rakhuba Ivan Oseledets Victor Lempitsky	3
+ PDF Chat	Convolutional Networks with Adaptive Inference Graphs	2018	Andreas Veit Serge Belongie	3
+	Proximal Algorithms	2013	Neal Parikh Stephen Boyd	3
+	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2014	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ PDF Chat	Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach	2016	Xiaowei Zhou Menglong Zhu Spyridon Leonardos Kostas Daniilidis	3
+ PDF Chat	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights	2018	Arun Mallya Dillon Davis Svetlana Lazebnik	3
+ PDF Chat	Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning	2018	Yin Cui Yang Song Chen Sun Andrew Howard Serge Belongie	3
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	3
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	3
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	3
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	3
+ PDF Chat	Domain Generalization by Solving Jigsaw Puzzles	2019	Fabio Maria Carlucci Antonio D’Innocente Silvia Bucci Barbara Caputo Tatiana Tommasi	3
+ PDF Chat	T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos	2017	Kai Kang Hongsheng Li Junjie Yan Xingyu Zeng Bin Yang Tong Xiao Cong Zhang Zhe Wang Ruohui Wang Xiaogang Wang	3