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Hi there 👋

🤖 I am a research scientist at Ford Greenfield Labs, working on autonomous vehicles perception. I love building neural networks (🧠) for solving problems such as 3D scene understanding, end-to-end learning for robotics vision and autonomous driving.

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Shubham Shrivastava's Projects

adgan icon adgan

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN" CVPR 2020 (Oral); Pose and Appearance Attributes Transfer;

bevformer icon bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

chamferdist icon chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

dac-dc icon dac-dc

DAC-DC : Divide and Concquer for Detection and Classification

dd3d icon dd3d

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeprl icon deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

detr icon detr

End-to-End Object Detection with Transformers

generative_inpainting icon generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

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