Mahyar Najibi

According to our database, Mahyar Najibi authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference.

Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi

CoRR, 2024

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data.

Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari

CoRR, 2024

OpenELM: An Efficient Language Model Family with Open Training and Inference Framework.

Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Seyed-Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari

CoRR, 2024

Speculative Streaming: Fast LLM Inference without Auxiliary Models.

Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi

CoRR, 2024

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation.

Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving.

Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels.

Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GINA-3D: Learning to Generate Implicit Neural Assets in the Wild.

Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Scale Normalized Image Pyramids With AutoFocus for Object Detection.

Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving.

Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining.

Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Revisiting 3D Object Detection From an Egocentric Perspective.

Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Offboard 3D Object Detection From Point Cloud Sequences.

Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Efficient Detection of Objects and Faces with Deep Learning.

Mahyar Najibi

PhD thesis, 2020

ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors.

Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis

CoRR, 2020

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes.

Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation.

Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Universal Adversarial Training.

Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Analysis of Pre-Training on Object Detection.

Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis

CoRR, 2019

Adversarial training for free!

Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AutoFocus: Efficient Multi-Scale Inference.

Mahyar Najibi, Bharat Singh, Larry Davis

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

FA-RPN: Floating Region Proposals for Face Detection.

Mahyar Najibi, Bharat Singh, Larry S. Davis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Soft Sampling for Robust Object Detection.

Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing.

Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Generate, Segment and Replace: Towards Generic Manipulation Segmentation.

Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Larry S. Davis

CoRR, 2018

Face-MagNet: Magnifying Feature Maps to Detect Small Faces.

Pouya Samangouei, Rama Chellappa, Mahyar Najibi, Larry S. Davis

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Towards the Success Rate of One: Real-Time Unconstrained Salient Object Detection.

Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

SNIPER: Efficient Multi-Scale Training.

Bharat Singh, Mahyar Najibi, Larry S. Davis

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks.

Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

SSH: Single Stage Headless Face Detector.

Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Incremental Hashing with Kernels.

Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis

CoRR, 2016

G-CNN: An Iterative Grid Based Object Detector.

Mahyar Najibi, Mohammad Rastegari, Larry S. Davis

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Supervised Incremental Hashing.

Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis

Proceedings of the British Machine Vision Conference 2016, 2016

2015

From Local Similarities to Global Coding: A Framework for Coding Applications.

Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi, Safoora Yousefi

IEEE Trans. Image Process., 2015

On Large-Scale Retrieval: Binary or n-ary Coding?

Mahyar Najibi, Mohammad Rastegari, Larry S. Davis

CoRR, 2015

2013

From Local Similarities to Global Coding: An Algorithm for Feature Coding and its Applications.

Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi

CoRR, 2013