Mahyar Najibi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 51

Top Topics

Object Detection

Top Venues

Publications

Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi
Speculative Streaming: Fast LLM Inference without Auxiliary Models. CoRR (2024)
Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. CoRR (2024)
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 (2024)
Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. CoRR (2024)
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 (2024)
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)
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)
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 (2023)
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)
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 (2023)
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 (2023)
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)
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 (2022)
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) (2022)
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)
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 (2022)
Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis
Scale Normalized Image Pyramids with AutoFocus for Object Detection. CoRR (2021)
Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
Revisiting 3D Object Detection From an Egocentric Perspective. CoRR (2021)
Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
Revisiting 3D Object Detection From an Egocentric Perspective. NeurIPS (2021)
Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
Offboard 3D Object Detection from Point Cloud Sequences. CoRR (2021)
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)
Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors. CoRR (2020)
Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein
Universal Adversarial Training. AAAI (2020)
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)
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 (2020)
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)
Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis
An Analysis of Pre-Training on Object Detection. CoRR (2019)
Mahyar Najibi, Bharat Singh, Larry Davis
AutoFocus: Efficient Multi-Scale Inference. ICCV (2019)
Mahyar Najibi, Bharat Singh, Larry S. Davis
FA-RPN: Floating Region Proposals for Face Detection. CVPR (2019)
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 (2019)
Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis
Soft Sampling for Robust Object Detection. BMVC (2019)
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)
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)
Bharat Singh, Mahyar Najibi, Larry S. Davis
SNIPER: Efficient Multi-Scale Training. NeurIPS (2018)
Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu
Towards the Success Rate of One: Real-Time Unconstrained Salient Object Detection. WACV (2018)
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)
Mahyar Najibi, Bharat Singh, Larry S. Davis
FA-RPN: Floating Region Proposals for Face Detection. CoRR (2018)
Mahyar Najibi, Bharat Singh, Larry S. Davis
AutoFocus: Efficient Multi-Scale Inference. CoRR (2018)
Pouya Samangouei, Mahyar Najibi, Larry S. Davis, Rama Chellappa
Face-MagNet: Magnifying Feature Maps to Detect Small Faces. CoRR (2018)
Pouya Samangouei, Rama Chellappa, Mahyar Najibi, Larry S. Davis
Face-MagNet: Magnifying Feature Maps to Detect Small Faces. WACV (2018)
Bharat Singh, Mahyar Najibi, Larry S. Davis
SNIPER: Efficient Multi-Scale Training. CoRR (2018)
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 (2018)
Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis
Soft Sampling for Robust Object Detection. CoRR (2018)
Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Larry S. Davis
Generate, Segment and Replace: Towards Generic Manipulation Segmentation. CoRR (2018)
Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein
Universal Adversarial Training. CoRR (2018)
Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis
SSH: Single Stage Headless Face Detector. CoRR (2017)
Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis
SSH: Single Stage Headless Face Detector. ICCV (2017)
Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu
Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection. CoRR (2017)
Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis
Supervised Incremental Hashing. BMVC (2016)
Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis
Incremental Hashing with Kernels. CoRR (2016)
Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
G-CNN: An Iterative Grid Based Object Detector. CVPR (2016)
Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
On Large-Scale Retrieval: Binary or n-ary Coding? CoRR (2015)
Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
G-CNN: an Iterative Grid Based Object Detector. CoRR (2015)
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) (2015)
Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi
From Local Similarities to Global Coding: An Algorithm for Feature Coding and its Applications. CoRR (2013)