Mahyar Najibi - RankMe

68 papers A* 20A 5Journal 39Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning. ICML Qingqing Cao, Mahyar Najibi, Sachin Mehta
2025	J	`jnl`	From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. CoRR Kumari Nishu, Sachin Mehta, Samira Abnar, Mehrdad Farajtabar, Maxwell Horton, Mahyar Najibi, Moin Nabi, Minsik Cho, Devang Naik
2025	J	`jnl`	M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference. CoRR Nikhil Bhendawade, Mahyar Najibi, Devang Naik, Irina Belousova
2025	A*	`conf`	QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. ICML Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Richard Charles Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	J	`jnl`	QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. CoRR Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	A*	`conf`	SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. ICLR Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi
2025	A*	`conf`	Speculative Streaming: Efficient and Scalable Speculative Decoding with Multi-Stream Attention. EMNLP Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Antonie Lin, Mohammad Rastegari, Mahyar Najibi
2024	J	`jnl`	CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. CoRR Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari
2024	J	`jnl`	CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning. CoRR Qingqing Cao, Mahyar Najibi, Sachin Mehta
2024	J	`jnl`	Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers. CoRR Yuxin Wen, Qingqing Cao, Qichen Fu, Sachin Mehta, Mahyar Najibi
2024	J	`jnl`	LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. CoRR Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi
2024	J	`jnl`	OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. CoRR Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari
2024	J	`jnl`	SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. CoRR Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi
2024	—	`conf`	Speculative Streaming: Fast LLM Inference without Auxiliary Models. ENLSP Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi
2024	J	`jnl`	Speculative Streaming: Fast LLM Inference without Auxiliary Models. CoRR Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi
2024	A*	`conf`	Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. ICML Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi
2024	J	`jnl`	Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. CoRR Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi
2023	J	`jnl`	3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels. CoRR Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov
2023	A*	`conf`	3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels. CVPR Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov
2023	A*	`conf`	GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
2023	J	`jnl`	GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
2023	A*	`conf`	Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. ICCV Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2023	J	`jnl`	Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. CoRR Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2022	—	`conf`	Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining. ECCV (10) Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022	J	`jnl`	Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining. CoRR Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022	—	`conf`	Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. ECCV (38) Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2022	J	`jnl`	Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. CoRR Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2022	J	`jnl`	Scale Normalized Image Pyramids With AutoFocus for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis
2021	A*	`conf`	Offboard 3D Object Detection From Point Cloud Sequences. CVPR Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
2021	J	`jnl`	Offboard 3D Object Detection from Point Cloud Sequences. CoRR Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
2021	A*	`conf`	Revisiting 3D Object Detection From an Egocentric Perspective. NeurIPS Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
2021	J	`jnl`	Revisiting 3D Object Detection From an Egocentric Perspective. CoRR Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
2021	J	`jnl`	Scale Normalized Image Pyramids with AutoFocus for Object Detection. CoRR Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis
2020	J	`jnl`	ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors. CoRR Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis
2020	A*	`conf`	DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. CVPR Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi
2020	J	`jnl`	DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes. CoRR Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi
2020	—	`—`	Efficient Detection of Objects and Faces with Deep Learning. Mahyar Najibi
2020	A*	`conf`	Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. AAAI Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis
2020	A*	`conf`	Universal Adversarial Training. AAAI Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein
2019	J	`jnl`	Adversarial Training for Free! CoRR Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein
2019	A*	`conf`	Adversarial training for free! NeurIPS Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein
2019	J	`jnl`	An Analysis of Pre-Training on Object Detection. CoRR Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis
2019	A*	`conf`	AutoFocus: Efficient Multi-Scale Inference. ICCV Mahyar Najibi, Bharat Singh, Larry Davis
2019	A	`conf`	Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. BMVC Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein
2019	A*	`conf`	FA-RPN: Floating Region Proposals for Face Detection. CVPR Mahyar Najibi, Bharat Singh, Larry S. Davis
2019	A	`conf`	Soft Sampling for Robust Object Detection. BMVC Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis
2018	J	`jnl`	AutoFocus: Efficient Multi-Scale Inference. CoRR Mahyar Najibi, Bharat Singh, Larry S. Davis
2018	J	`jnl`	FA-RPN: Floating Region Proposals for Face Detection. CoRR Mahyar Najibi, Bharat Singh, Larry S. Davis
2018	A	`conf`	Face-MagNet: Magnifying Feature Maps to Detect Small Faces. WACV Pouya Samangouei, Rama Chellappa, Mahyar Najibi, Larry S. Davis
2018	J	`jnl`	Face-MagNet: Magnifying Feature Maps to Detect Small Faces. CoRR Pouya Samangouei, Mahyar Najibi, Larry S. Davis, Rama Chellappa
2018	J	`jnl`	Generate, Segment and Replace: Towards Generic Manipulation Segmentation. CoRR Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Larry S. Davis
2018	A*	`conf`	Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. NeurIPS Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein
2018	J	`jnl`	Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. CoRR Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein
2018	A*	`conf`	SNIPER: Efficient Multi-Scale Training. NeurIPS Bharat Singh, Mahyar Najibi, Larry S. Davis
2018	J	`jnl`	SNIPER: Efficient Multi-Scale Training. CoRR Bharat Singh, Mahyar Najibi, Larry S. Davis
2018	J	`jnl`	Soft Sampling for Robust Object Detection. CoRR Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis
2018	A	`conf`	Towards the Success Rate of One: Real-Time Unconstrained Salient Object Detection. WACV Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu
2018	J	`jnl`	Universal Adversarial Training. CoRR Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein
2017	A*	`conf`	SSH: Single Stage Headless Face Detector. ICCV Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis
2017	J	`jnl`	SSH: Single Stage Headless Face Detector. CoRR Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis
2017	J	`jnl`	Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection. CoRR Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu
2016	A*	`conf`	G-CNN: An Iterative Grid Based Object Detector. CVPR Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
2016	J	`jnl`	Incremental Hashing with Kernels. CoRR Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis
2016	A	`conf`	Supervised Incremental Hashing. BMVC Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis
2015	J	`jnl`	From Local Similarities to Global Coding: A Framework for Coding Applications. IEEE Trans. Image Process. Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi, Safoora Yousefi
2015	J	`jnl`	G-CNN: an Iterative Grid Based Object Detector. CoRR Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
2015	J	`jnl`	On Large-Scale Retrieval: Binary or n-ary Coding? CoRR Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
2013	J	`jnl`	From Local Similarities to Global Coding: An Algorithm for Feature Coding and its Applications. CoRR Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi