Mahyar Najibi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
9
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Speculative Streaming: Efficient and Scalable Speculative Decoding with Multi-Stream Attention. | Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Antonie Lin, Mohammad Rastegari, Mahyar Najibi |
| 2025 | ICLR | 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 |
| 2025 | ICML | CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning. | Qingqing Cao, Mahyar Najibi, Sachin Mehta |
| 2025 | ICML | QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. | Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Richard Charles Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami |
| 2024 | ICML | Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. | Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. | Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov |
| 2021 | CVPR | Offboard 3D Object Detection From Point Cloud Sequences. | Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov |
| 2020 | AAAI | Universal Adversarial Training. | Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein |
| 2020 | AAAI | Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. | Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis |
| 2020 | CVPR | 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 |
| 2019 | BMVC | Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. | Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein |
| 2019 | BMVC | Soft Sampling for Robust Object Detection. | Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis |
| 2019 | CVPR | FA-RPN: Floating Region Proposals for Face Detection. | Mahyar Najibi, Bharat Singh, Larry S. Davis |
| 2019 | ICCV | AutoFocus: Efficient Multi-Scale Inference. | Mahyar Najibi, Bharat Singh, Larry Davis |
| 2018 | WACV | Towards the Success Rate of One: Real-Time Unconstrained Salient Object Detection. | Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu |
| 2018 | WACV | Face-MagNet: Magnifying Feature Maps to Detect Small Faces. | Pouya Samangouei, Rama Chellappa, Mahyar Najibi, Larry S. Davis |
| 2017 | ICCV | SSH: Single Stage Headless Face Detector. | Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis |
| 2016 | BMVC | Supervised Incremental Hashing. | Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis |
| 2016 | CVPR | G-CNN: An Iterative Grid Based Object Detector. | Mahyar Najibi, Mohammad Rastegari, Larry S. Davis |