Mahyar Najibi | DeepAI

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∙ 06/07/2023

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

Training a 3D human keypoint detector from point clouds in a supervised ...

0 Zhenzhen Weng, et al. ∙

∙ 04/04/2023

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

Modeling the 3D world from sensor data for simulation is a scalable way ...

0 Bokui Shen, et al. ∙

∙ 10/15/2022

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

Continued improvements in deep learning architectures have steadily adva...

0 Chiyu "Max" Jiang, et al. ∙

∙ 10/14/2022

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

Learning-based perception and prediction modules in modern autonomous dr...

0 Mahyar Najibi, et al. ∙

∙ 12/14/2021

Revisiting 3D Object Detection From an Egocentric Perspective

3D object detection is a key module for safety-critical robotics applica...

0 Boyang Deng, et al. ∙

∙ 03/08/2021

Offboard 3D Object Detection from Point Cloud Sequences

While current 3D object recognition research mostly focuses on the real-...

4 Charles R. Qi, et al. ∙

∙ 02/10/2021

Scale Normalized Image Pyramids with AutoFocus for Object Detection

We present an efficient foveal framework to perform object detection. A ...

0 Bharat Singh, et al. ∙

∙ 07/19/2020

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

The widely adopted sequential variant of Non Maximum Suppression (or Gre...

0 Rohun Tripathi, et al. ∙

∙ 04/02/2020

DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes

We propose DOPS, a fast single-stage 3D object detection method for LIDA...

0 Mahyar Najibi, et al. ∙

∙ 04/29/2019

Adversarial Training for Free!

Adversarial training, in which a network is trained on adversarial examp...

0 Ali Shafahi, et al. ∙

∙ 04/11/2019

An Analysis of Pre-Training on Object Detection

We provide a detailed analysis of convolutional neural networks which ar...

12 Hengduo Li, et al. ∙

∙ 12/13/2018

FA-RPN: Floating Region Proposals for Face Detection

We propose a novel approach for generating region proposals for performi...

0 Mahyar Najibi, et al. ∙

∙ 12/04/2018

AutoFocus: Efficient Multi-Scale Inference

This paper describes AutoFocus, an efficient multi-scale inference algor...

4 Mahyar Najibi, et al. ∙

∙ 11/27/2018

Universal Adversarial Training

Standard adversarial attacks change the predicted class label of an imag...

0 Ali Shafahi, et al. ∙

∙ 11/24/2018

Generate, Segment and Replace: Towards Generic Manipulation Segmentation

It has been witnessed an emerging demand for image manipulation segmenta...

0 Peng Zhou, et al. ∙

∙ 06/18/2018

Soft Sampling for Robust Object Detection

We study the robustness of object detection under the presence of missin...

0 Zhe Wu, et al. ∙

∙ 05/23/2018

SNIPER: Efficient Multi-Scale Training

We present SNIPER, an algorithm for performing efficient multi-scale tra...

0 Bharat Singh, et al. ∙

∙ 04/03/2018

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

Data poisoning is a type of adversarial attack on machine learning model...

0 Ali Shafahi, et al. ∙

∙ 03/14/2018

Face-MagNet: Magnifying Feature Maps to Detect Small Faces

In this paper, we introduce the Face Magnifier Network (Face-MageNet), a...

0 Pouya Samangouei, et al. ∙

∙ 08/14/2017

SSH: Single Stage Headless Face Detector

We introduce the Single Stage Headless (SSH) face detector. Unlike two s...

0 Mahyar Najibi, et al. ∙

∙ 07/31/2017

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

In this work, we propose an efficient and effective approach for unconst...

0 Mahyar Najibi, et al. ∙

∙ 04/25/2016

Supervised Incremental Hashing

We propose an incremental strategy for learning hash functions with kern...

0 Bahadir Ozdemir, et al. ∙

∙ 12/24/2015

G-CNN: an Iterative Grid Based Object Detector

We introduce G-CNN, an object detection technique based on CNNs which wo...

0 Mahyar Najibi, et al. ∙

∙ 11/24/2013

Local Similarities, Global Coding: An Algorithm for Feature Coding and its Applications

Data coding as a building block of several image processing algorithms h...

0 Amirreza Shaban, et al. ∙

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