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Mahyar Najibi
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2020 – today
- 2024
- [i30]Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi:
Speculative Streaming: Fast LLM Inference without Auxiliary Models. CoRR abs/2402.11131 (2024) - [i29]Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi:
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. CoRR abs/2404.06910 (2024) - [i28]Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Seyed-Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari:
OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. CoRR abs/2404.14619 (2024) - [i27]Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari:
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. CoRR abs/2404.15653 (2024) - 2023
- [c22]Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov:
3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels. CVPR 2023: 1158-1167 - [c21]Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov:
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR 2023: 4913-4926 - [c20]Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov:
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. ICCV 2023: 8568-8578 - [i26]Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov:
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR abs/2304.02163 (2023) - [i25]Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov:
3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels. CoRR abs/2306.04745 (2023) - [i24]Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov:
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. CoRR abs/2309.14491 (2023) - 2022
- [j2]Bharat Singh
, Mahyar Najibi, Abhishek Sharma, Larry S. Davis:
Scale Normalized Image Pyramids With AutoFocus for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3749-3766 (2022) - [c19]Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov:
Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining. ECCV (10) 2022: 158-175 - [c18]Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov:
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. ECCV (38) 2022: 424-443 - [i23]Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov:
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. CoRR abs/2210.08061 (2022) - [i22]Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov:
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining. CoRR abs/2210.08375 (2022) - 2021
- [c17]Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov:
Offboard 3D Object Detection From Point Cloud Sequences. CVPR 2021: 6134-6144 - [c16]Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov:
Revisiting 3D Object Detection From an Egocentric Perspective. NeurIPS 2021: 26066-26079 - [i21]Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis:
Scale Normalized Image Pyramids with AutoFocus for Object Detection. CoRR abs/2102.05646 (2021) - [i20]Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov:
Offboard 3D Object Detection from Point Cloud Sequences. CoRR abs/2103.05073 (2021) - [i19]Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov:
Revisiting 3D Object Detection From an Egocentric Perspective. CoRR abs/2112.07787 (2021) - 2020
- [b1]Mahyar Najibi:
Efficient Detection of Objects and Faces with Deep Learning. University of Maryland, College Park, MD, USA, 2020 - [c15]Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein:
Universal Adversarial Training. AAAI 2020: 5636-5643 - [c14]Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis:
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. AAAI 2020: 13058-13065 - [c13]Mahyar Najibi, Guangda Lai, Abhijit Kundu
, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. CVPR 2020: 11910-11919 - [i18]Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes. CoRR abs/2004.01170 (2020) - [i17]Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis:
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors. CoRR abs/2007.09785 (2020)
2010 – 2019
- 2019
- [c12]Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein:
Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. BMVC 2019: 72 - [c11]Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis:
Soft Sampling for Robust Object Detection. BMVC 2019: 225 - [c10]Mahyar Najibi, Bharat Singh, Larry S. Davis:
FA-RPN: Floating Region Proposals for Face Detection. CVPR 2019: 7723-7732 - [c9]Mahyar Najibi, Bharat Singh, Larry Davis:
AutoFocus: Efficient Multi-Scale Inference. ICCV 2019: 9744-9754 - [c8]Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein:
Adversarial training for free! NeurIPS 2019: 3353-3364 - [i16]Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis:
An Analysis of Pre-Training on Object Detection. CoRR abs/1904.05871 (2019) - [i15]Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein:
Adversarial Training for Free! CoRR abs/1904.12843 (2019) - 2018
- [c7]Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein:
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. NeurIPS 2018: 6106-6116 - [c6]Bharat Singh, Mahyar Najibi, Larry S. Davis:
SNIPER: Efficient Multi-Scale Training. NeurIPS 2018: 9333-9343 - [c5]Pouya Samangouei, Rama Chellappa, Mahyar Najibi, Larry S. Davis:
Face-MagNet: Magnifying Feature Maps to Detect Small Faces. WACV 2018: 122-130 - [c4]Mahyar Najibi, Fan Yang, Qiaosong Wang
, Robinson Piramuthu:
Towards the Success Rate of One: Real-Time Unconstrained Salient Object Detection. WACV 2018: 1432-1441 - [i14]Pouya Samangouei, Mahyar Najibi, Larry S. Davis, Rama Chellappa:
Face-MagNet: Magnifying Feature Maps to Detect Small Faces. CoRR abs/1803.05258 (2018) - [i13]Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein:
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. CoRR abs/1804.00792 (2018) - [i12]Bharat Singh, Mahyar Najibi, Larry S. Davis:
SNIPER: Efficient Multi-Scale Training. CoRR abs/1805.09300 (2018) - [i11]Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis:
Soft Sampling for Robust Object Detection. CoRR abs/1806.06986 (2018) - [i10]Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Larry S. Davis:
Generate, Segment and Replace: Towards Generic Manipulation Segmentation. CoRR abs/1811.09729 (2018) - [i9]Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein:
Universal Adversarial Training. CoRR abs/1811.11304 (2018) - [i8]Mahyar Najibi, Bharat Singh, Larry S. Davis:
AutoFocus: Efficient Multi-Scale Inference. CoRR abs/1812.01600 (2018) - [i7]Mahyar Najibi, Bharat Singh, Larry S. Davis:
FA-RPN: Floating Region Proposals for Face Detection. CoRR abs/1812.05586 (2018) - 2017
- [c3]Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis:
SSH: Single Stage Headless Face Detector. ICCV 2017: 4885-4894 - [i6]Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu:
Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection. CoRR abs/1708.00079 (2017) - [i5]Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis:
SSH: Single Stage Headless Face Detector. CoRR abs/1708.03979 (2017) - 2016
- [c2]Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis:
Supervised Incremental Hashing. BMVC 2016 - [c1]Mahyar Najibi, Mohammad Rastegari, Larry S. Davis:
G-CNN: An Iterative Grid Based Object Detector. CVPR 2016: 2369-2377 - [i4]Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis:
Incremental Hashing with Kernels. CoRR abs/1604.07342 (2016) - 2015
- [j1]Amirreza Shaban, Hamid R. Rabiee
, Mahyar Najibi, Safoora Yousefi:
From Local Similarities to Global Coding: A Framework for Coding Applications. IEEE Trans. Image Process. 24(12): 5074-5085 (2015) - [i3]Mahyar Najibi, Mohammad Rastegari, Larry S. Davis:
On Large-Scale Retrieval: Binary or n-ary Coding? CoRR abs/1509.06066 (2015) - [i2]Mahyar Najibi, Mohammad Rastegari, Larry S. Davis:
G-CNN: an Iterative Grid Based Object Detector. CoRR abs/1512.07729 (2015) - 2013
- [i1]Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi:
From Local Similarities to Global Coding: An Algorithm for Feature Coding and its Applications. CoRR abs/1311.6079 (2013)
Coauthor Index
aka: Larry S. Davis
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last updated on 2024-07-30 21:41 CEST by the dblp team
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