Menglong Zhu

According to our database, Menglong Zhu authored at least 27 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Binary Neural Networks as a general-propose compute paradigm for on-device computer vision.

Guhong Nie, Lirui Xiao, Menglong Zhu, Dongliang Chu, Yue Shen, Peng Li, Kang Yang, Li Du, Bo Chen

CoRR, 2022

2021

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks.

Deng-Ping Fan, Zheng Lin, Zhao Zhang, Menglong Zhu, Ming-Ming Cheng

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection.

Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior.

Xiaowei Zhou, Menglong Zhu, Georgios Pavlakos, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks.

Deng-Ping Fan, Zheng Lin, Jiaxing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng

CoRR, 2019

Looking Fast and Slow: Memory-Guided Mobile Video Object Detection.

Mason Liu, Menglong Zhu, Marie White, Yinxiao Li, Dmitry Kalenichenko

CoRR, 2019

Detect-To-Retrieve: Efficient Regional Aggregation for Image Search.

Marvin Teichmann, André Araújo, Menglong Zhu, Jack Sim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation.

Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen

CoRR, 2018

MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Mobile Video Object Detection With Temporally-Aware Feature Maps.

Mason Liu, Menglong Zhu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.

Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach.

Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Kostas Daniilidis

IEEE Trans. Pattern Anal. Mach. Intell., 2017

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam

CoRR, 2017

Automatic Spatially-Aware Fashion Concept Discovery.

Xintong Han, Zuxuan Wu, Phoenix X. Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis

Proceedings of the IEEE International Conference on Computer Vision, 2017

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors.

Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Localization from semantic observations via the matrix permanent.

Nikolay Atanasov, Menglong Zhu, Kostas Daniilidis, George J. Pappas

Int. J. Robotics Res., 2016

Integrated Intelligence for Human-Robot Teams.

Jean Oh, Thomas M. Howard, Matthew R. Walter, Daniel Barber, Menglong Zhu, Sangdon Park, Arne Suppé, Luis E. Navarro-Serment, Felix Duvallet, Abdeslam Boularias, Oscar J. Romero, Jerry Vinokurov, Terence Keegan, Robert M. Dean, Craig Lennon, Barry A. Bodt, Marshal Childers, Jianbo Shi, Kostas Daniilidis, Nicholas Roy, Christian Lebiere, Martial Hebert, Anthony Stentz

Proceedings of the International Symposium on Experimental Robotics, 2016

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video.

Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Pose and Shape Estimation with Discriminatively Learned Parts.

Menglong Zhu, Xiaowei Zhou, Kostas Daniilidis

CoRR, 2015

Single Image Pop-Up from Discriminatively Learned Parts.

Menglong Zhu, Xiaowei Zhou, Kostas Daniilidis

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Multi-image Matching via Fast Alternating Minimization.

Xiaowei Zhou, Menglong Zhu, Kostas Daniilidis

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Active Deformable Part Models.

Menglong Zhu, Nikolay Atanasov, George J. Pappas, Kostas Daniilidis

CoRR, 2014

Semantic Localization Via the Matrix Permanent.

Nikolay Atanasov, Menglong Zhu, Kostas Daniilidis, George J. Pappas

Proceedings of the Robotics: Science and Systems X, 2014

Single image 3D object detection and pose estimation for grasping.

Menglong Zhu, Konstantinos G. Derpanis, Yinfei Yang, Samarth Brahmbhatt, Mabel M. Zhang, Cody J. Phillips, Matthieu Lecce, Kostas Daniilidis

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Active Deformable Part Models Inference.

Menglong Zhu, Nikolay Atanasov, George J. Pappas, Kostas Daniilidis

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding.

Weiyu Zhang, Menglong Zhu, Konstantinos G. Derpanis

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Monocular Visual Odometry and Dense 3D Reconstruction for On-Road Vehicles.

Menglong Zhu, Srikumar Ramalingam, Yuichi Taguchi, Tyler W. Garaas

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012