default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShengzhong Liu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j14]Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek F. Abdelzaher:
Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines. Commun. ACM 67(2): 110-117 (2024)- [c41]Yigong Hu, Ila Gokarn, Shengzhong Liu, Archan Misra
, Tarek F. Abdelzaher:
Algorithms for Canvas-Based Attention Scheduling with Resizing. RTAS 2024: 348-359 - [c40]Denizhan Kara, Tomoyoshi Kimura, Yatong Chen, Jinyang Li, Ruijie Wang, Yizhuo Chen, Tianshi Wang, Shengzhong Liu, Tarek F. Abdelzaher:
PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT. SenSys 2024: 97-111 - [c39]Ruijie Wang, Yutong Zhang, Jinyang Li, Shengzhong Liu, Dachun Sun, Tianchen Wang, Tianshi Wang, Yizhuo Chen, Denizhan Kara, Tarek F. Abdelzaher:
MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning. SIGIR 2024: 59-69 - [c38]Ruijie Wang, Jingyuan Huang, Yutong Zhang, Jinyang Li, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis, Tarek F. Abdelzaher:
TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning. SIGIR 2024: 1659-1669 - [c37]Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek F. Abdelzaher:
FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing. WWW 2024: 2795-2806 - [i17]Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher:
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. CoRR abs/2402.02275 (2024) - [i16]Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Denizhan Kara, Yizhuo Chen, Yigong Hu, Ruijie Wang, Maggie B. Wigness, Shengzhong Liu, Mani B. Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher:
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. CoRR abs/2404.02461 (2024) - 2023
- [j13]Shengzhong Liu, Xinzhe Fu, Yigong Hu, Maggie B. Wigness, Philip David, Shuochao Yao, Lui Sha, Tarek F. Abdelzaher:
Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing. Real Time Syst. 59(2): 302-343 (2023) - [c36]Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. ACL (Findings) 2023: 2440-2457 - [c35]Yigong Hu, Ila Gokarn, Shengzhong Liu, Archan Misra, Tarek F. Abdelzaher:
Underprovisioned GPUs: On Sufficient Capacity for Real-Time Mission-Critical Perception. ICCCN 2023: 1-10 - [c34]Deepti Kalasapura, Jinyang Li, Shengzhong Liu, Yizhuo Chen, Ruijie Wang, Tarek F. Abdelzaher, Matthew Caesar, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh D. Eckhardt, Denis Osipychev:
TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-Limited IoT Applications. ICCCN 2023: 1 - [c33]Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher:
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. NeurIPS 2023 - [c32]Yigong Hu, Ila Gokarn, Shengzhong Liu, Archan Misra, Tarek F. Abdelzaher:
Work-in-Progress: Algorithms for Canvas-Based Attention Scheduling with Resizing. RTSS 2023: 435-438 - [c31]Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher:
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. SenSys 2023: 15-27 - [i15]Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. CoRR abs/2306.07512 (2023) - [i14]Hongpeng Guo, Beitong Tian, Zhe Yang, Bo Chen, Qian Zhou, Shengzhong Liu, Klara Nahrstedt, Claudiu Danilov:
DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics. CoRR abs/2306.15129 (2023) - [i13]Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher:
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. CoRR abs/2310.20071 (2023) - 2022
- [j12]Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9285-9297 (2022) - [j11]Yigong Hu, Shengzhong Liu, Tarek F. Abdelzaher, Maggie B. Wigness, Philip David:
Real-time task scheduling with image resizing for criticality-based machine perception. Real Time Syst. 58(4): 430-455 (2022) - [j10]Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Huajie Shao, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek F. Abdelzaher:
Real-Time Task Scheduling for Machine Perception in Intelligent Cyber-Physical Systems. IEEE Trans. Computers 71(8): 1770-1783 (2022) - [c30]Dongxin Liu, Tarek F. Abdelzaher, Tianshi Wang, Yigong Hu, Jinyang Li, Shengzhong Liu, Matthew Caesar, Deepti Kalasapura, Joydeep Bhattacharyya, Nassy Srour, Jae Kim, Guijun Wang, Greg Kimberly, Shouchao Yao:
IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things. ICCCN 2022: 1-10 - [c29]Shengzhong Liu, Tianshi Wang, Hongpeng Guo, Xinzhe Fu, Philip David, Maggie B. Wigness, Archan Misra, Tarek F. Abdelzaher:
Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency. ICDCS 2022: 503-514 - [c28]Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek F. Abdelzaher, Brian Jalaian:
The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. MILCOM 2022: 1082-1087 - [c27]Shengzhong Liu, Tianshi Wang, Jinyang Li, Dachun Sun, Mani B. Srivastava, Tarek F. Abdelzaher:
AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading. ACM Multimedia 2022: 3035-3044 - [c26]Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher:
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs. NeurIPS 2022 - [c25]Ragini Gupta, Bo Chen, Shengzhong Liu, Tianshi Wang, Sandeep Singh Sandha, Abel Souza, Klara Nahrstedt, Tarek F. Abdelzaher, Mani B. Srivastava, Prashant J. Shenoy, Jeffrey Smith, Maggie B. Wigness, Niranjan Suri:
DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows. ApPLIED@PODC 2022: 15-23 - [c24]Shengzhong Liu, Xinzhe Fu, Maggie B. Wigness, Philip David, Shuochao Yao, Lui Sha, Tarek F. Abdelzaher:
Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception. RTAS 2022: 173-186 - [c23]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. SIGIR 2022: 1728-1738 - [i12]Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher:
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs. CoRR abs/2210.08654 (2022) - 2021
- [j9]Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization. Frontiers Big Data 4: 729881 (2021) - [j8]Tianshi Wang, Shuochao Yao, Shengzhong Liu, Jinyang Li, Dongxin Liu, Huajie Shao, Ruijie Wang, Tarek F. Abdelzaher:
Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(3): 132:1-132:29 (2021) - [j7]Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher:
Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services. GetMobile Mob. Comput. Commun. 25(1): 39-42 (2021) - [j6]Huajie Shao, Dachun Sun, Shuochao Yao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher:
Truth Discovery With Multi-Modal Data in Social Sensing. IEEE Trans. Computers 70(9): 1325-1337 (2021) - [c22]Shengzhong Liu, Franck Le, Supriyo Chakraborty, Tarek F. Abdelzaher:
On Exploring Attention-based Explanation for Transformer Models in Text Classification. IEEE BigData 2021: 1193-1203 - [c21]Dongxin Liu, Tianshi Wang, Shengzhong Liu, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher:
Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective. ICCCN 2021: 1-10 - [c20]Yigong Hu, Shengzhong Liu, Tarek F. Abdelzaher, Maggie B. Wigness, Philip David:
On Exploring Image Resizing for Optimizing Criticality-based Machine Perception. RTCSA 2021: 169-178 - [c19]Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher:
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. SIGIR 2021: 163-172 - [i11]Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher:
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. CoRR abs/2106.03251 (2021) - [i10]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. CoRR abs/2110.00210 (2021) - [i9]Jiyang Chen, Simon Yu, Rohan Tabish, Ayoosh Bansal, Shengzhong Liu, Tarek F. Abdelzaher, Lui Sha:
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving. CoRR abs/2111.09799 (2021) - 2020
- [j5]Tarek F. Abdelzaher, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai Nguyen, David M. Nicol, Huajie Shao, Tianshi Wang, Shuochao Yao, Yu Zhang, Omar Malik, Stephen Dipple, James Flamino, Fred Buchanan, Sam Cohen, György Korniss, Boleslaw K. Szymanski:
Multiscale online media simulation with SocialCube. Comput. Math. Organ. Theory 26(2): 145-174 (2020) - [j4]Shengzhong Liu, Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Huajie Shao, Tarek F. Abdelzaher:
GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 19:1-19:27 (2020) - [j3]Shengzhong Liu, Shuochao Yao, Yifei Huang, Dongxin Liu, Huajie Shao, Yiran Zhao, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek F. Abdelzaher:
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 90:1-90:31 (2020) - [c18]Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization. ASONAM 2020: 81-88 - [c17]Huajie Shao, Shuochao Yao, Andong Jing, Shengzhong Liu, Dongxin Liu, Tianshi Wang, Jinyang Li, Chaoqi Yang, Ruijie Wang, Tarek F. Abdelzaher:
Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks. ICCCN 2020: 1-11 - [c16]Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher:
ControlVAE: Controllable Variational Autoencoder. ICML 2020: 8655-8664 - [c15]Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Scheduling Real-time Deep Learning Services as Imprecise Computations. RTCSA 2020: 1-10 - [c14]Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek F. Abdelzaher:
On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines. RTSS 2020: 319-332 - [c13]Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher:
Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency. SenSys 2020: 476-488 - [c12]Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher:
paper2repo: GitHub Repository Recommendation for Academic Papers. WWW 2020: 629-639 - [i8]Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Disentangling Overlapping Beliefs by Structured Matrix Factorization. CoRR abs/2002.05797 (2020) - [i7]Chaoqi Yang, Ruijie Wang, Shuochao Yao, Shengzhong Liu, Tarek F. Abdelzaher:
Revisiting "Over-smoothing" in Deep GCNs. CoRR abs/2003.13663 (2020) - [i6]Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher:
Controllable Variational Autoencoder. CoRR abs/2004.05988 (2020) - [i5]Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher:
paper2repo: GitHub Repository Recommendation for Academic Papers. CoRR abs/2004.06059 (2020) - [i4]Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Scheduling Real-time Deep Learning Services as Imprecise Computations. CoRR abs/2011.01112 (2020) - [i3]Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. CoRR abs/2011.01754 (2020)
2010 – 2019
- 2019
- [c11]Huajie Shao, Shuochao Yao, Yiran Zhao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher:
Unsupervised Fact-finding with Multi-modal Data in Social Sensing. FUSION 2019: 1-8 - [c10]Yiran Zhao, Shuochao Yao, Dongxin Liu, Huajie Shao, Shengzhong Liu:
GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service. ICAC 2019: 1-10 - [c9]Yiran Zhao, Shuochao Yao, Dongxin Liu, Huajie Shao, Shengzhong Liu, Tarek F. Abdelzaher:
Simulation Evaluation of Fuel-Saving Systems in the City of Chicago. ICCCN 2019: 1-9 - [c8]Shengzhong Liu, Shuochao Yao, Dongxin Liu, Huajie Shao, Yiran Zhao, Xinzhe Fu, Tarek F. Abdelzaher:
A Latent Hawkes Process Model for Event Clustering and Temporal Dynamics Learning with Applications in GitHub. ICDCS 2019: 1275-1285 - [c7]Shuochao Yao, Kasthuri Jayarajah, Archan Misra, Tarek F. Abdelzaher, Yifan Hao, Yiran Zhao, Ailing Piao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Shaohan Hu, Dulanga Weerakoon:
Eugene: Towards Deep Intelligence as a Service. ICDCS 2019: 1630-1640 - [c6]Shuochao Yao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Yifan Hao, Ailing Piao, Shaohan Hu, Su Lu, Tarek F. Abdelzaher:
SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications. INFOCOM 2019: 1243-1251 - [c5]Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. WWW 2019: 2192-2202 - [i2]Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. CoRR abs/1902.07849 (2019) - 2018
- [j2]Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher:
SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 144:1-144:21 (2018) - [c4]Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher:
ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications. ICDCS 2018: 334-343 - [c3]Shuochao Yao, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Lu Su, Tarek F. Abdelzaher:
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices. SenSys 2018: 278-291 - [c2]Shuochao Yao, Yifan Hao, Dongxin Liu, Shengzhong Liu, Huajie Shao, Jiahao Wu, Mouna Bamba, Tarek F. Abdelzaher, James Flamino, Boleslaw K. Szymanski:
A predictive Self-Configuring Simulator for Online Media. WSC 2018: 1262-1273 - [i1]Shuochao Yao, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Lu Su, Tarek F. Abdelzaher:
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices. CoRR abs/1809.06970 (2018) - 2017
- [c1]Shengzhong Liu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Context-aware data quality estimation in mobile crowdsensing. INFOCOM 2017: 1-9 - 2015
- [j1]Yanxiang Chen, Daru Pan, Yifei Pan, Shengzhong Liu, Aihua Gu, Meng Wang:
Indoor scene understanding via monocular RGB-D images. Inf. Sci. 320: 361-371 (2015)
Coauthor Index
[j14] [c41] [c40] [c39] [c38] [c37] [i17] [i16] [j13] [c36] [c35] [c34] [c33] [c32] [c31] [i15] [i13] [j12] [j11] [j10] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i12] [j9] [j8] [j7] [j6] [c22] [c21] [c20] [c19] [i11] [i10] [i9] [j5] [j4] [j3] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i8] [i7] [i6] [i5] [i4] [i3] [c11] [c9] [c8] [c7] [c6] [c5] [i2] [j2] [c4] [c3] [c2] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
