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Muhammad Umar Karim Khan
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2020 – today
- 2021
- [j5]Jungeon Lee
, Muhammad Umar Karim Khan, Chong-Min Kyung:
Hybrid Discriminator With Correlative Autoencoder for Anomaly Detection. IEEE Access 9: 49098-49109 (2021) - [i7]Muhammad Umar Karim Khan:
Towards Continual, Online, Unsupervised Depth. CoRR abs/2103.00369 (2021) - 2020
- [c12]Saad Imran, Muhammad Umar Karim Khan, Sikander Mukaram, Chong-Min Kyung:
Unsupervised Monocular Depth Estimation with Multi-Baseline Stereo. BMVC 2020 - [c11]Mishal Fatima, Muhammad Umar Karim Khan, Chong-Min Kyung:
Global Feature Aggregation for Accident Anticipation. ICPR 2020: 2809-2816 - [c10]Muhammad Suhaib Tanveer, Muhammad Umar Karim Khan, Chong-Min Kyung:
Fine-Tuning DARTS for Image Classification. ICPR 2020: 4789-4796 - [i6]Muhammad Umar Karim Khan, Mishal Fatima, Chong-Min Kyung:
Plug-and-Play Anomaly Detection with Expectation Maximization Filtering. CoRR abs/2006.08933 (2020) - [i5]Mishal Fatima, Muhammad Umar Karim Khan, Chong-Min Kyung:
Global Feature Aggregation for Accident Anticipation. CoRR abs/2006.08942 (2020) - [i4]Muhammad Suhaib Tanveer, Muhammad Umar Karim Khan, Chong-Min Kyung:
Fine-Tuning DARTS for Image Classification. CoRR abs/2006.09042 (2020) - [i3]Rabia Ali, Muhammad Umar Karim Khan, Chong-Min Kyung:
Self-Supervised Representation Learning for Visual Anomaly Detection. CoRR abs/2006.09654 (2020) - [i2]Saad Imran, Muhammad Umar Karim Khan, Sikander Bin Mukarram, Chong-Min Kyung:
Increased-Range Unsupervised Monocular Depth Estimation. CoRR abs/2006.12791 (2020)
2010 – 2019
- 2019
- [j4]Muhammad Umar Karim Khan
Offset Aperture: A Passive Single-Lens Camera for Depth Sensing. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1380-1393 (2019) - [j3]Muhammad Umar Karim Khan
Rejecting Motion Outliers for Efficient Crowd Anomaly Detection. IEEE Trans. Inf. Forensics Secur. 14(2): 541-556 (2019) - [c9]Hyeji Kim
Efficient Neural Network Compression. CVPR 2019: 12569-12577 - 2018
- [c8]Hyeji Kim
Real-time depth map processor for offset aperture based single camera system. ASP-DAC 2018: 293-294 - [i1]Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung:
A Framework for Fast and Efficient Neural Network Compression. CoRR abs/1811.12781 (2018) - 2017
- [j2]Muhammad Bilal
A Low-Complexity Pedestrian Detection Framework for Smart Video Surveillance Systems. IEEE Trans. Circuits Syst. Video Technol. 27(10): 2260-2273 (2017) - [j1]Muhammad Umar Karim Khan
EBSCam: Background Subtraction for Ubiquitous Computing. IEEE Trans. Very Large Scale Integr. Syst. 25(1): 35-47 (2017) - [c7]Woojin Yun, Young-Gyu Kim, Yeongmin Lee
Offset aperture based hardware architecture for real-time depth extraction. ICIP 2017: 4392-4396 - 2016
- [c6]Muhammad Umar Karim Khan, Asim Khan
Depth refinement on sparse-depth images using visual perception cues. APCCAS 2016: 440-443 - 2015
- [c5]Asim Khan
A Hardware Accelerator for Real Time Sliding Window Based Pedestrian Detection on High Resolution Images. VLSI-SoC (Selected Papers) 2015: 46-66 - [c4]Asim Khan
Hardware architecture and optimization of sliding window based pedestrian detection on FPGA for high resolution images by varying local features. VLSI-SoC 2015: 142-148 - 2014
- [c3]Muhammad Umar Karim Khan, Asim Khan
Dual frame rate motion detection for memory- and energy-constrained surveillance systems. AVSS 2014: 81-86 - 2013
- [c2]Muhammad Umar Karim Khan, Chong-Min Kyung, Khawaja M. Yahya:
Optimized learning rate for energy waste minimization in a background subtraction based surveillance system. ISCAS 2013: 2355-2360 - [c1]Muhammad Umar Karim Khan, Chong-Min Kyung:
Energy reduction of ultra-low voltage VLSI circuits by digit-serial architectures. ISCAS 2013: 3012-3017
Coauthor Index
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