From Local Similarities to Global Coding: An Algorithm for Feature Coding and its Applications. - Amirreza Shaban; Hamid R. Rabiee; Mahyar Najibi (CoRR, 2013)

On Large-Scale Retrieval: Binary or n-ary Coding? - Mahyar Najibi; Mohammad Rastegari; Larry S. Davis (CoRR, 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)

Supervised Incremental Hashing. - Bahadir Ozdemir; Mahyar Najibi; Larry S. Davis (BMVC, 2016)

G-CNN: An Iterative Grid Based Object Detector. - Mahyar Najibi; Mohammad Rastegari; Larry S. Davis (CVPR, 2016)

Incremental Hashing with Kernels. - Bahadir Ozdemir; Mahyar Najibi; Larry S. Davis (CoRR, 2016)

SSH: Single Stage Headless Face Detector. - Mahyar Najibi; Pouya Samangouei; Rama Chellappa; Larry S. Davis (ICCV, 2017)

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 (NeurIPS, 2018)

SNIPER: Efficient Multi-Scale Training. - Bharat Singh; Mahyar Najibi; Larry S. Davis (NeurIPS, 2018)

Towards the Success Rate of One: Real-Time Unconstrained Salient Object Detection. - Mahyar Najibi; Fan Yang 076; Qiaosong Wang; Robinson Piramuthu (WACV, 2018)

Face-MagNet: Magnifying Feature Maps to Detect Small Faces. - Pouya Samangouei; Rama Chellappa; Mahyar Najibi; Larry S. Davis (WACV, 2018)

Generate, Segment and Replace: Towards Generic Manipulation Segmentation. - Peng Zhou 009; Bor-Chun Chen; Xintong Han; Mahyar Najibi; Larry S. Davis (CoRR, 2018)

Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. - Ali Shafahi; Amin Ghiasi; Mahyar Najibi; Furong Huang; John P. Dickerson; Tom Goldstein (BMVC, 2019)

Soft Sampling for Robust Object Detection. - Zhe Wu 001; Navaneeth Bodla; Bharat Singh; Mahyar Najibi; Rama Chellappa; Larry S. Davis (BMVC, 2019)

FA-RPN: Floating Region Proposals for Face Detection. - Mahyar Najibi; Bharat Singh; Larry S. Davis (CVPR, 2019)

AutoFocus: Efficient Multi-Scale Inference. - Mahyar Najibi; Bharat Singh; Larry Davis 001 (ICCV, 2019)

Adversarial training for free! - Ali Shafahi; Mahyar Najibi; Amin Ghiasi; Zheng Xu 002; John P. Dickerson; Christoph Studer; Larry S. Davis; Gavin Taylor; Tom Goldstein (NeurIPS, 2019)

An Analysis of Pre-Training on Object Detection. - Hengduo Li; Bharat Singh; Mahyar Najibi; Zuxuan Wu; Larry S. Davis (CoRR, 2019)

Universal Adversarial Training. - Ali Shafahi; Mahyar Najibi; Zheng Xu 002; John P. Dickerson; Larry S. Davis; Tom Goldstein (AAAI, 2020)

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. - Peng Zhou 009; Bor-Chun Chen; Xintong Han; Mahyar Najibi; Abhinav Shrivastava; Ser-Nam Lim; Larry Davis 001 (AAAI, 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 (CVPR, 2020)

ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors. - Rohun Tripathi; Vasu Singla; Mahyar Najibi; Bharat Singh; Abhishek Sharma 001; Larry Davis 001 (CoRR, 2020)

Efficient Detection of Objects and Faces with Deep Learning. - Mahyar Najibi (2020)

Offboard 3D Object Detection From Point Cloud Sequences. - Charles R. Qi; Yin Zhou; Mahyar Najibi; Pei Sun; Khoa Vo 001; Boyang Deng; Dragomir Anguelov (CVPR, 2021)

Revisiting 3D Object Detection From an Egocentric Perspective. - Boyang Deng; Charles R. Qi; Mahyar Najibi; Thomas A. Funkhouser; Yin Zhou; Dragomir Anguelov (NeurIPS, 2021)

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 (ECCV (10), 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 (ECCV (38), 2022)

Scale Normalized Image Pyramids With AutoFocus for Object Detection. - Bharat Singh; Mahyar Najibi; Abhishek Sharma 001; Larry S. Davis (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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 (CVPR, 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 (CVPR, 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 (ICCV, 2023)

Speculative Streaming: Fast LLM Inference without Auxiliary Models. - Nikhil Bhendawade; Irina Belousova; Qichen Fu; Henry Mason; Mohammad Rastegari; Mahyar Najibi (ENLSP, 2024)

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. - Thomas Merth; Qichen Fu; Mohammad Rastegari; Mahyar Najibi (ICML, 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; Iman Mirzadeh; Mahyar Najibi; Dmitry Belenko; Peter Zatloukal; Mohammad Rastegari (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)

LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. - Qichen Fu; Minsik Cho; Thomas Merth; Sachin Mehta; Mohammad Rastegari; Mahyar Najibi (CoRR, 2024)

CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning. - Qingqing Cao; Mahyar Najibi; Sachin Mehta (CoRR, 2024)

Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers. - Yuxin Wen; Qingqing Cao; Qichen Fu; Sachin Mehta; Mahyar Najibi (CoRR, 2024)

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. - Rasoul Shafipour; David Harrison; Maxwell Horton; Jeffrey Marker; Houman Bedayat; Sachin Mehta; Mohammad Rastegari; Mahyar Najibi; Saman Naderiparizi (ICLR, 2025)

M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference. - Nikhil Bhendawade; Mahyar Najibi; Devang Naik; Irina Belousova (CoRR, 2025)

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. - Rishabh Tiwari; Haocheng Xi; Aditya Tomar; Coleman Hooper; Sehoon Kim 001; Maxwell Horton; Mahyar Najibi; Michael W. Mahoney; Kurt Keutzer; Amir Gholami (CoRR, 2025)

From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. - Kumari Nishu; Sachin Mehta; Samira Abnar; Mehrdad Farajtabar; Maxwell Horton; Mahyar Najibi; Moin Nabi; Minsik Cho; Devang Naik (CoRR, 2025)