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ORCIDMenglong Zhu
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2020 – today
- 2024
[j5]Long Teng, Wei Feng
, Menglong Zhu, Xinchao Li:
End-to-End Unsupervised 4D Cardiac Motion Tracking With Spatiotemporal Optical Flow Networks. IEEE Access 12: 130630-130638 (2024)- [i18]Long Teng, Wei Feng, Menglong Zhu, Xinchao Li:
Unsupervised 4D Cardiac Motion Tracking with Spatiotemporal Optical Flow Networks. CoRR abs/2407.04663 (2024) - 2022
- [i17]Guhong Nie, Lirui Xiao, Menglong Zhu, Dongliang Chu, Yue Shen, Peng Li, Kang Yang, Li Du, Bo Chen:
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision. CoRR abs/2202.03716 (2022) - 2021
- [j4]Deng-Ping Fan, Zheng Lin, Zhao Zhang, Menglong Zhu, Ming-Ming Cheng:
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2075-2089 (2021) - [i16]Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. CoRR abs/2101.01260 (2021) - 2020
- [c17]Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ACCV (6) 2020: 239-256 - [c16]Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ECCV Workshops (1) 2020: 636-640
2010 – 2019
- 2019
- [j3]Xiaowei Zhou, Menglong Zhu, Georgios Pavlakos, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis:
MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 901-914 (2019) - [c15]Marvin Teichmann, André Araújo, Menglong Zhu, Jack Sim:
Detect-To-Retrieve: Efficient Regional Aggregation for Image Search. CVPR 2019: 5109-5118 - [i15]Mason Liu, Menglong Zhu, Marie White, Yinxiao Li, Dmitry Kalenichenko:
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection. CoRR abs/1903.10172 (2019) - [i14]Deng-Ping Fan, Zheng Lin, Jiaxing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng:
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks. CoRR abs/1907.06781 (2019) - 2018
- [c14]Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko:
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. CVPR 2018: 2704-2713 - [c13]Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen:
MobileNetV2: Inverted Residuals and Linear Bottlenecks. CVPR 2018: 4510-4520 - [c12]Mason Liu, Menglong Zhu:
Mobile Video Object Detection With Temporally-Aware Feature Maps. CVPR 2018: 5686-5695 - [i13]Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen:
Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation. CoRR abs/1801.04381 (2018) - [i12]Marvin Teichmann, André Araújo, Menglong Zhu, Jack Sim:
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search. CoRR abs/1812.01584 (2018) - 2017
- [j2]Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Kostas Daniilidis:
Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1648-1661 (2017) - [c11]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR 2017: 3296-3297 - [c10]Xintong Han, Zuxuan Wu, Phoenix X. Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis:
Automatic Spatially-Aware Fashion Concept Discovery. ICCV 2017: 1472-1480 - [i11]Xiaowei Zhou, Menglong Zhu, Georgios Pavlakos, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis:
MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior. CoRR abs/1701.02354 (2017) - [i10]Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam:
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. CoRR abs/1704.04861 (2017) - [i9]Xintong Han, Zuxuan Wu, Phoenix X. Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis:
Automatic Spatially-aware Fashion Concept Discovery. CoRR abs/1708.01311 (2017) - [i8]Mason Liu, Menglong Zhu:
Mobile Video Object Detection with Temporally-Aware Feature Maps. CoRR abs/1711.06368 (2017) - [i7]Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko:
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. CoRR abs/1712.05877 (2017) - 2016
- [j1]Nikolay Atanasov, Menglong Zhu, Kostas Daniilidis, George J. Pappas:
Localization from semantic observations via the matrix permanent. Int. J. Robotics Res. 35(1-3): 73-99 (2016) - [c9]Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis:
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video. CVPR 2016: 4966-4975 - [c8]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:
Integrated Intelligence for Human-Robot Teams. ISER 2016: 309-322 - [i6]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR abs/1611.10012 (2016) - 2015
- [c7]Menglong Zhu, Xiaowei Zhou, Kostas Daniilidis:
Single Image Pop-Up from Discriminatively Learned Parts. ICCV 2015: 927-935 - [c6]Xiaowei Zhou, Menglong Zhu, Kostas Daniilidis:
Multi-image Matching via Fast Alternating Minimization. ICCV 2015: 4032-4040 - [i5]Menglong Zhu, Xiaowei Zhou, Kostas Daniilidis:
Pose and Shape Estimation with Discriminatively Learned Parts. CoRR abs/1502.00192 (2015) - [i4]Xiaowei Zhou, Menglong Zhu, Kostas Daniilidis:
Multi-Image Matching via Fast Alternating Minimization. CoRR abs/1505.04845 (2015) - [i3]Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Kostas Daniilidis:
Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach. CoRR abs/1509.04309 (2015) - [i2]Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis:
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video. CoRR abs/1511.09439 (2015) - 2014
- [c5]Menglong Zhu, Nikolay Atanasov, George J. Pappas, Kostas Daniilidis:
Active Deformable Part Models Inference. ECCV (7) 2014: 281-296 - [c4]Menglong Zhu, Konstantinos G. Derpanis, Yinfei Yang, Samarth Brahmbhatt, Mabel M. Zhang, Cody J. Phillips, Matthieu Lecce, Kostas Daniilidis:
Single image 3D object detection and pose estimation for grasping. ICRA 2014: 3936-3943 - [c3]Nikolay Atanasov, Menglong Zhu, Kostas Daniilidis, George J. Pappas:
Semantic Localization Via the Matrix Permanent. Robotics: Science and Systems 2014 - [i1]Menglong Zhu, Nikolay Atanasov, George J. Pappas, Kostas Daniilidis:
Active Deformable Part Models. CoRR abs/1404.0334 (2014) - 2013
- [c2]Weiyu Zhang, Menglong Zhu, Konstantinos G. Derpanis:
From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding. ICCV 2013: 2248-2255 - 2012
- [c1]Menglong Zhu, Srikumar Ramalingam, Yuichi Taguchi, Tyler W. Garaas:
Monocular Visual Odometry and Dense 3D Reconstruction for On-Road Vehicles. ECCV Workshops (2) 2012: 596-606
Coauthor Index
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