Mahyar Najibi

According to our database1, Mahyar Najibi authored at least 32 papers between 2013 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Speculative Streaming: Fast LLM Inference without Auxiliary Models.
CoRR, 2024

2023
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GINA-3D: Learning to Generate Implicit Neural Assets in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Scale Normalized Image Pyramids With AutoFocus for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2022, 2022

Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Revisiting 3D Object Detection From an Egocentric Perspective.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Efficient Detection of Objects and Faces with Deep Learning.
PhD thesis, 2020

ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors.
CoRR, 2020

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Universal Adversarial Training.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
An Analysis of Pre-Training on Object Detection.
CoRR, 2019

Adversarial training for free!
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AutoFocus: Efficient Multi-Scale Inference.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

FA-RPN: Floating Region Proposals for Face Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Soft Sampling for Robust Object Detection.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Generate, Segment and Replace: Towards Generic Manipulation Segmentation.
CoRR, 2018

Face-MagNet: Magnifying Feature Maps to Detect Small Faces.
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.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

SNIPER: Efficient Multi-Scale Training.
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.
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.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Incremental Hashing with Kernels.
CoRR, 2016

G-CNN: An Iterative Grid Based Object Detector.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Supervised Incremental Hashing.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
From Local Similarities to Global Coding: A Framework for Coding Applications.
IEEE Trans. Image Process., 2015

On Large-Scale Retrieval: Binary or n-ary Coding?
CoRR, 2015

2013
From Local Similarities to Global Coding: An Algorithm for Feature Coding and its Applications.
CoRR, 2013


  Loading...